Evangelia Tsolaki1, Phaedra Eleftheriou2, Victor Kartsev3, Athina Geronikaki4, Anil K Saxena5. 1. Department of Pharmaceutical Chemistry, School of Pharmacy, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece. evantsol@yahoo.gr. 2. Department of Medical Laboratories, School of Health and Care Professions, Alexander Technological Educational Institute of Thessaloniki, 54700 Thessaloniki, Greece. eleftheriouphaedra@gmail.com. 3. InterBioscreen, 119019 Moscow, Russia. vkartsev@ibscreen.chg.ru. 4. Department of Pharmaceutical Chemistry, School of Pharmacy, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece. geronik@pharm.auth.gr. 5. Division of Medicinal & Process Chemistry, Central Drug Research Institute, 226031 Lucknow, India. anilsak@gmail.com.
Abstract
5-LOX inhibition is among the desired characteristics of anti-inflammatory drugs, while 15-LOX has also been considered as a drug target. Similarity in inhibition behavior between soybean LOX-1 and human 5-LOX has been observed and soybean LOX (sLOX) type 1b has been used for the evaluation of LOX inhibition in drug screening for years. After prediction of LOX inhibition by PASS and docking as well as toxicity by PROTOX and ToxPredict sixteen (E)-N-(thiazol-2-yl)-6-(4-hydroxy-6-methoxy-7-methyl-3-oxo-1,3-dihydroisobenzofuran-5-yl)-4-methylhex-4-enamide derivatives with lengths varying from about 15⁻20 Å were evaluated in vitro for LOX inhibitory action using the soybean lipoxygenase sLOX 1b. Docking analysis was performed using soybean LOX L-1 (1YGE), soybean LOX-3 (1JNQ), human 5-LOX (3O8Y and 3V99) and mammalian 15-LOX (1LOX) structures. Different dimensions of target center and docking boxes and a cavity prediction algorithm were used. The compounds exhibited inhibitory action between 2.5 μΜ and 165 μΜ. Substituents with an electronegative atom at two-bond proximity to position 4 of the thiazole led to enhanced activity. Docking results indicated that the LOX structures 1JNQ, 3V99 and 1LOX can effectively be used for estimation of LOX inhibition and amino acid interactions of these compounds.
n class="Gene">5-LOX inhibition is among the desired characteristics of anti-inflammatory drugs, while 15-LOX has also been considered as a drug target. Similarity in inhibition behavior between soybeanLOX-1 and human5-LOX has been observed and soybeanLOX (sLOX) type 1b has been used for the evaluation of LOX inhibition in drug screening for years. After prediction of LOX inhibition by PASS and docking as well as toxicity by PROTOX and ToxPredict sixteen (E)-N-(thiazol-2-yl)-6-(4-hydroxy-6-methoxy-7-methyl-3-oxo-1,3-dihydroisobenzofuran-5-yl)-4-methylhex-4-enamide derivatives with lengths varying from about 15⁻20 Å were evaluated in vitro for LOX inhibitory action using the soybeanlipoxygenase sLOX 1b. Docking analysis was performed using soybeanLOX L-1 (1YGE), soybeanLOX-3 (1JNQ), human5-LOX (3O8Y and 3V99) and mammalian15-LOX (1LOX) structures. Different dimensions of target center and docking boxes and a cavity prediction algorithm were used. The compounds exhibited inhibitory action between 2.5 μΜ and 165 μΜ. Substituents with an electronegative atom at two-bond proximity to position 4 of the thiazole led to enhanced activity. Docking results indicated that the LOX structures 1JNQ, 3V99 and 1LOX can effectively be used for estimation of LOX inhibition and amino acid interactions of these compounds.
n class="Chemical">Eicosanoids constitute a family of metabolic products of arachidonic acids with a wide variety of biological activities, among which are their effects on inflammation and immunity. By the action of phospholipase A2arachidonic acid is liberated from the cell membranes and is used as a substrate for the production of biological mediators [1,2] through different pathways. The two most important pathways are the cycloxygenase and the lipoxygenase pathways, leading respectively to the production of prostaglandins (COX products) and leucotrienes (LOX products) that play a key role in inflammation. Lypoxygenases (LOX) are iron-containing enzymes with wide distribution in plants and animals. In plants they catalyze the oxidation of linoleic acid, while in mammals they do so for arachidonic acid. They all belong to the dioxygenases family, catalyzing the oxygenation of free and esterified polyunsaturated acids with (1Z,4Z)-penta-1,4 diene systems, producing the corresponding hydroperoxy derivatives [3]. LOX enzymes are categorized according to their positional specificity of arachidonic acid oxygenation [4,5]. Thus, there are six well-known LO families: 5-LOs, 8-LOs, 9-LOs, 11-LOs, 12-LOs, and 15-LOs [3,6].
The n class="Species">mammalian 5-lipoxygenase (5-LOX) pathway (Figure 1) produces potent mediators such as leukotriene B4 (LTB4) and peptidoleukotrienes (LTC4, LTD4 or LTE4), as well as lipoxins which are also involved in inflammation. They are implicated in the pathogenesis of psoriasis [7,8], bronchial asthma [9,10] and edema formation. They are also related to leucocyte activation and adhesion to vascular endothelium [11]. There is evidence that they are among the factors involved in the damage of gastric mucosa [12]. Furthermore elevated 15-LOX activity has been correlated with atheromatic plaque formation [13,14,15,16], while association with Alzheimer’s disease progression [17] and prostate cancer development has been mentioned [18,19]. Thus, the mammalian5-LOX [20] and 15-LOX [21] have become drug targets since their inhibitors may be used for the treatment of pathological conditions such as allergy, chronic inflammation, certain cancers and cardiovascular diseases [21,22,23,24,25,26,27].
Figure 1
5-Lipoxygenase inhibitors under clinical development.
To date only one n class="Gene">5-LOX inhibitor, zileuton, was approved by the FDA for the treatment of asthma, however it has been related with liver toxicity [28] and has a short half-life [29]. Furthermore its pharmacokinetic properties are unfavorable [29]. This fact, in combination with the increased indications for anti-LOX therapies has enhanced the interest of the scientific community in developing new safe and effective LOX inhibitors. These efforts are focused on both concepts, the modification of already known compounds, and the rational design of novel 5-LOX inhibitors. Figure 1 shows the structures of 5-LOX inhibitors that are under clinical development. The N-hydroxyurea derivative alreleuton is in phase II clinical trials for the treatment of inflammation and cardiovascular disease. [30] Setileuton (MK-0633) is a potent 5-LO inhibitor which completed phase II clinical trials against asthma [31], while licofelon (phase III) [32,33] and PF-4191834 (Phase II) [34] have been studied for knee osteoarthritis. The flavonoidsbaicalin and catechin are the main active components of flavocoxid, a FDA-approved product with anti-inflammatory activity also used for the treatment of osteoarthritis [35]. Furthermore, a large number of novel 5-lipoxygenase inhibitors (Figure 2) were identified using computational screening methods, such as ligand-structure-based techniques.
Figure 2
Novel 5-lipoxygenase inhibitors identified by computational screening methods.
n class="Chemical">Arachidonic acid, the natural substrate of LOX, is a hydrophobic, flexible molecule having a carboxylate group at one end which adapts a curved conformation when interacting with the catalytic site of the enzyme. Thus, the catalytic center of 5-LOX mainly consists of the amino acids Leu368, Ile406, Ala410, Leu414, Ile415, Leu691, Val604 and Leu607, which have a hydrophobic character. The iron atom, located at the middle of the active pocket, is stabilized by coordination bonds with His367, His372, His550 and Asn554. The Phe177 also participating in complex stabilization, seems to interact with the carboxylic group of arachidonic acid [36]. Consequently, the presence of hydrophobic moieties is a mandatory characteristic of 5-LOX inhibitors, while a flexible structure, capable of adapting curved conformations, may facilitate stable complex formation as well [25,26,36,37,38]. The presence of heterocyclic rings connected by carbon chains has been observed in known LOX inhibitors such as NDGA [37].
There are many publication that ren class="Chemical">fer to the LOX inhibitory activity of thiazole derivatives [26,39,40,41,42] (Figure 2) as well as phenolic compounds [43,44,45] (Figure 1). On the other hand, mycophenolic acid known for its immunosuppressing properties [46,47], has been proposed for the treatment of psoriasis, which is an inflammatory immune-mediated disease [48,49,50,51].
Nowadays a large number of organic compounds (more than 60 million) have been synthesized and can be used for biological evaluation [52]. The new pharmacologically promising compounds should meet multiple criteria, among which are, desired specific activity and lack of n class="Disease">toxicity and serious side effects [53]. In order to search for and optimize new pharmacologically active compounds there is a need for computer approaches [54]. One very convenient computer-assisted method, based on the structure of chemical compounds is PASS [27]. In addition, docking analysis can be used if the crystallographic structure of the target molecule is known [55]. Moreover, a number of on-line programs have been developed for prediction of the toxicity of the compounds [56,57,58].
In the present study sixteen n class="Chemical">mycophenolic acid derivatives (Table 1), which combine in the same molecule a thiazole ring and a phenolic moiety with multiple molecular lengths varying from about 15–20 Å were designed. Prediction of their biological activity spectra and toxicity were performed using the PASS, PROTOX and ToxPredict programs. In addition docking analysis was also performed for prediction of inhibitory action and as a tool to facilitate SAR analysis of the experimental results. The compounds were evaluated in vitro for LOX inhibitory action. As different enzyme structures, target boxes and docking programs were used, evaluation of the best parameters for efficient docking-aided prediction of LOX inhibitors was carried out.
Table 1
Structure of the designed compounds.
Comp.
R1
R2
Comp.
R1
R2
1
-OH
9
-OH
2
-OH
10
-OH
3
-OH
11
-OH
4
-OH
12
-OH
5
-OH
13
-OH
6
-OH
14
-OH
7
-OH
15
-OCH3
8
-OH
16
-OCH3
2. Results and Discussion
2.1. Prediction of Biological Activity Spectra of Compounds by PASS
In this paper the analysis of biological activity spectra prediction for the designed compounds was performed using the computer program n class="Chemical">PASS 2014. In silico study of compounds before the synthesis and especially biological evaluation has the advantage of avoiding time consuming and negative results. The results of PASS prediction are expressed as a list of biological activities, for which the probability of the compound to be active (Pa) or inactive (Pi) is calculated. These spectra were predicted for all designed compounds and results allow the planning of experiments. The higher the Pa value is, the less is the probability of negative results in a set of designed compounds. The prediction results revealed that for all compounds lipoxygenase inhibitory activity was predicted with Pa values in the range at 0.661–0.879, meaning that the chance of finding this activity in experiments is high; however the compounds may be close analogues to known biologically active compounds. The results of biological activity spectra prediction are presented in Table 2.
Table 2
Prediction of the biological activity spectra of the designed compounds.
No.
R2
Predicted Activity
Pa
1
Systemic lupus erythematosus treatment
0.905
Lipoxygenase inhibitor
0.846
Transcription factor inhibitor
0.768
Immunosuppressant
0.727
Lipid peroxidase inhibitor
0.682
Antiulcerative
0.674
2
Lipoxygenase inhibitor
0.879
Systemic lupus erythematosus treatment
0.72
Immunosuppressant
0.726
Antineoplastic
0.696
Antiinflammatory
0.645
Lipid peroxidase inhibitor…
0.6
3
Antiulcerative
0.748
Lipoxygenase inhibitor
0.743
Immunosuppressant
0.72
Systemic lupus erythematosus treatment
0.662
Antiinflammatory
0.632
Lipid peroxidase inhibitor
0.601
Antineoplastic…
0.639
4
Lipoxygenase inhibitor
0.808
Antiulcerative
0.794
Transcription factor inhibitor
0.76
Systemic lupus erythematosus treatment
0.734
Immunosuppressant
0.706
Lipid peroxidase inhibitor
0.696
5
Immunosuppressant
0.745
Lipoxygenase inhibitor
0.716
Antiulcerative
0.689
Systemic lupus erythematosus treatment
0.631
Antiinflammatory
0.616
Transcription factor inhibitor
0.594
Antineoplastic…
0.581
6
Lipoxygenase inhibitor
0.875
Antiulcerative
0.799
Transcription factor inhibitor
0.753
Immunosuppressant
0.731
Antiinflammatory
0.692
Systemic lupus erythematosus treatment
0.587
Antineoplastic
0.609
7
Antiulcerative
0.765
Lipoxygenase inhibitor
0.726
Transcription factor inhibitor
0.726
Immunosuppressant
0.716
Systemic lupus erythematosus treatment
0.699
Mediator release inhibitor
0.642
8
Transcription factor inhibitor
0.751
Antiulcerative
0.709
Immunosuppressant
0.7
Systemic lupus erythematosus treatment
0.689
Mediator release inhibitor
0.662
Lipoxygenase inhibitor
0.661
9
Antiulcerative
0.825
Lipoxygenase inhibitor
0.716
Transcription factor inhibitor
0.7
Immunosuppressant
0.688
Systemic lupus erythematosus treatment
0.615
Mediator release inhibitor
0.609
10
Lipoxygenase inhibitor
0.774
Systemic lupus erythematosus treatment
0.746
Lipid peroxidase inhibitor
0.722
Immunosuppressant
0.7
Antiulcerative
0.679
Transcription factor inhibitor
0.673
11
Lipoxygenase inhibitor
0.809
Lipid peroxidase inhibitor
0.698
Systemic lupus erythematosus treatment
0.688
Immunosuppressant
0.687
Antineoplastic
0.674
Antiulcerative
0.63
Apoptosis agonist...
0.615
12
Antiulcerative
0.748
Lipoxygenase inhibitor
0.743
Immunosuppressant
0.72
Systemic lupus erythematosus treatment
0.662
Antiinflammatory
0.632
Lipid peroxidase inhibitor
0.601
Antineoplastic...
0.639
13
Antiulcerative
0.748
Lipoxygenase inhibitor
0.743
Immunosuppressant
0.72
Systemic lupus erythematosus treatment
0.662
Antiinflammatory
0.632
Lipid peroxidase inhibitor
0.601
Antineoplastic...
0.639
14
Antiulcerative
0.748
Lipoxygenase inhibitor
0.743
Immunosuppressant
0.72
Systemic lupus erythematosus treatment
0.662
Antiinflammatory
0.632
Lipid peroxidase inhibitor
0,601
Antineoplastic...
0.639
15
Systemic lupus erythematosus treatment
0.791
Immunosuppressant
0.715
Lipoxygenase inhibitor
0.697
Transcription factor inhibitor
0.699
Antiinflammatory
0.656
Antineoplastic
0.664
Antiulcerative
0.625
16
Lipoxygenase inhibitor
0.732
Immunosuppressant
0.714
Antineoplastic
0.692
Antiinflammatory
0.625
Systemic lupus erythematosus treatment
0.583
Apoptosis agonist
0.576
Antiulcerative
0.501
2.2. Prediction of Toxicity
Prediction of n class="Disease">toxicity of a compound is a very important step in the design of new drugs. The in silicotoxicity study is a more rapid and less expensive process than in vivo toxicity testing in animals, and can help to significantly reduce the number of animals used in the experimental assays. Attempts are currently being made to assess toxicity mainly by in silico models and there are several online programs that calculate the immediate toxicity of the compounds, the average lethal dose, the likelihood of carcinogenicity or mutagenicity, etc.
Two computer programs, ToxPredict and PROTOX, were used in this work [56,57,58]. The ToxPredict platform meets the requirements of the REACH legislation to use alternative methods to reduce animal experiments. Through this application, the probability of carcinogenicity of the compounds in various organisms, as well as the probability of mutagenesis is predicted using an in pan class="Chemical">silico model corresponding to the Ames test. The results are presented in Table 3. The accuracy of prediction increases as the confidence values rises. In particular, reliable estimates are considered to be more reliable than 0.025. The pan class="Disease">toxicity prediction result of revealed that our compounds are not carcinogenic or mutagenic.
Table 3
Toxicity prediction by ToxPredict software.
No.
DDStox Carcinogenic Potency DBS MultiCellCall
DDStox Carcinogenic Potency DBS Mouse
DDStox Carcinogenic Potency DBS Rat
DDStox Carcinogenic Potency DBS SingleCellcall
DDStox Carcinogenic Potency DBS Hamster
DSSTox Carcinogenic Potency DBS Mutagenicity
Kazius-Bursi Salmonella Mutagenicity
FDA v3b Maximum Recommended Daily Dose mmol
Non Carcinogen Confidence:
Non Carcinogen Confidence:
Non Carcinogen Confidence:
Non Carcinogen Confidence:
Non Carcinogen Confidence:
Non Mutagenic Confidence:
Non Mutagenic Confidence:
0.162 mmol Confidence:
1
0.084
0.132
0.082
0.0296
0.155
0.0345
0.0774
0.165
2
0.058
0.241
0.0541
0.0035
0.099
0.0801
0.0756
0.0735 mmol
3
0.139
0.252
0.0282
0.0108
0.084
0.0374
0.0791
0.0641 mmol
4
0.057
0.223
0.0342
0.0156
0.082
0.0567
0.0784
0.0724 mmol
5
0.120
0.253
0.0274
0.0245
0.096
0.0357
0.0698
0.188 mmol
6
0.086
0.142
0.0670
0.0276
0.081
0.0340
0.0768
0.0723 mmol
7
0.056
0.250
0.0567
0.0145
0.099
0.0786
0.0712
0.145 mmol
8
0.050
0.261
0.0022
0.0111
0.098
0.1051
0.0062
0.109 mmol
9
0.059
0.254
0.0459
0.0179
0.087
0.1131
0.0566
0.133 mmol
10
0.122
0.199
0.0677
0.0186
0.097
0.1291
0.0734
0.107 mmol
11
0.045
0.252
0.0141
0.0187
0.217
0.0146
0.0112
0.117 mmol
12
0.078
0.234
0.0781
0.0234
0.239
0.0358
0.0689
0.189 mmol
13
0.109
0.287
0.0678
0.0189
0.221
0.0347
0.0765
0.179 mmol
14
0.167
0.178
0.0443
0.0179
0.187
0.0156
0.0651
0.123 mmol
15
0.058
0.257
0.0448
0.0177
0.084
0.1132
0.0559
0.131 mmol
16
0.132
0.187
0.0657
0.0184
0.087
0.1275
0.0744
0.110 mmol
17
0.035
0.241
0.0124
0.0182
0.213
0.0191
0.0123
0.113 mmol
Another program, PROTOX [58], which predicts the average lethal dose (LD50) in rodents was also used. All chemical compounds can be classified into six Globally Harmonized System of Classification and Labeling of Chemicals (GHS) categories [59], depending on the pan class="Disease">toxicity of the compounds and the LD50 values (Table 4).
Table 4
Toxicity prediction by PTOTOX software.
Comp.
Predicted LD50
Predicted Toxicity Class
Hepatotoxicity
Carcinogenicity
Mutagenicity
Cytotoxicity
1
500 mg/kg
4
Inactive 0.64
Inactive 0.55
Inactive 0.63
Inactive 0.63
2
500 mg/kg
4
Inactive 0.64
Inactive 0.54
Inactive 0.63
Inactive 0.63
3
1000 mg/kg
4
Inactive 0.64
Inactive 0.55
Inactive 0.63
Inactive 0.63
4
1000 mg/kg
4
Inactive 0.64
Inactive 0.55
Inactive 0.63
Inactive 0.63
5
300 mg/kg
3
Inactive 0.64
Inactive 0.55
Inactive 0.63
Inactive 0.63
6
500 mg/kg
4
Inactive 0.64
Inactive 0.54
Inactive 0.63
Inactive 0.63
7
1000 mg/kg
4
Inactive 0.64
Inactive 0.55
Inactive 0.63
Inactive 0.63
8
1000 mg/kg
4
Inactive 0.64
Inactive 0.55
Inactive 0.63
Inactive 0.63
9
1000 mg/kg
4
Inactive 0.64
Inactive 0.55
Inactive 0.63
Inactive 0.63
10
500 mg/kg
4
Inactive 0.64
Inactive 0.54
Inactive 0.63
Inactive 0.63
11
1000 mg/kg
4
Inactive 0.64
Inactive 0.55
Inactive 0.63
Inactive 0.63
12
500 mg/kg
4
Inactive 0.64
Inactive 0.55
Inactive 0.63
Inactive 0.63
13
300 mg/kg
3
Inactive 0.64
Inactive 0.55
Inactive 0.63
Inactive 0.63
14
300 mg/kg
3
Inactive 0.64
Inactive 0.55
Inactive 0.63
Inactive 0.63
15
500 mg/kg
4
Inactive 0.64
Inactive 0.55
Inactive 0.63
Inactive 0.63
16
500 mg/kg
4
Inactive 0.64
Inactive 0.55
Inactive 0.63
Inactive 0.63
Category I: LD50 ≤ 5 mg/kgCategory II: 5 < LD50 ≤ 50 mg/kgCategory III: 50 < LD50 ≤ 300 mg/kgCategory IV: 300 < LD50 ≤ 2000 mg/kgCategory V: 2000 < LD50 ≤ 5000 mg/kgCategory VI: LD50 > 5000 mg/kgAll compounds tested were in category IV, except for compounds 13 and 14 which were in category III.
2.3. Docking-Aided Prediction of the Inhibitory Action
The X-ray crystal structures data of n class="Gene">LOX enzymes were obtained from the Protein Data Bank. All LOX enzymes share some common characteristics at their active site, but also have differences, some of which are associated with the 5- or 15-LOX activity [36] (Figure 3). For example Leu368, Leu373, Leu414, Leu609 and Ile406 of the human5-LOX enzyme constitute a hydrophobic cavity, conserved in all arachidonic acid catalyzing enzymes [60,61] and their analogues in rat15-LOX are Leu362, Leu367, Ile350, Leu597 and Ile400, respectively (Figure 3C). In contrast, the amino acids Tyr181, Ala603, Ala606, His600, Thr364 and Phe177 are considered to form a 5-LOX specific region.
Figure 3
(A,B) Structure alignment between the human 5-LOX structure 3O8Y (crystalized without substrate or inhibitor) and human 5-LOX structure 3V99 (crystalized with arachidonic acid); (C) Amimno acids of human 5-LOX (structure 3V99), conserved in all LOX enzymes (white region), and 5-LOX specific amino acids (yellow area); (D) Structure alignment between the rat 15-LOX, structure 1LOX (crystalized with inhibitor) and human 5-LOX structure 3V99 (crystallized with substrate).
Although the objective of this study was the development of efn class="Chemical">fective inhibitors of human5-LOX, the soybeanLOX type 1b, sLOX-1, was used for in vitro evaluation of LOX inhibitory action, as sLOX-1 is the most common soybean isoenzyme in drug screening [37,38,62,63], so both soybean and mammalian enzymes were used for the prediction of the inhibitory action of the specific compounds.
It is well known that since conformational modifications of the enzymes take place upon interaction with the substn class="Species">rates or inhibitors, crystallographic structures obtained by complexes of enzymes with substrates or inhibitors give better prediction results [64]. More precisely, structures derived from complexes with the substrate or competitive inhibitors are preferred in development of competitive inhibitors while structures derived from complexes with allosteric inhibitors are preferred for the evaluation of prospective allosteric inhibitors. Moreover, if crystallographic forms of complexes with different inhibitors are available, the structures with inhibitors structurally similar to the compounds of the study are preferred [65]. In the case of the LOX enzyme, all preferred inhibitors are competitive and this simplifies the process.
The crystal structure of the n class="Species">soybean LOX-1 (1YGE) [66], available from the Protein Data Bank was obtained from a crystallization of the pure enzyme. However, in the absence of a more suitable structure of this enzyme in the Data Bank, it (1YGE) was used for prediction, since this enzyme would be used for the biological evaluation of the inhibitors. In parallel, the crystallographic structure of a second soybeanLOX, sLOX-3, was used for docking analysis due to its similarity with sLOX-1 and its availability in the Protein Data Bank in complex with inhibitor (1JNQ) [67] which is the preferred form of the enzyme.
As the real target of the prospective drugs will be the n class="Species">human enzyme 5-LOX the two available forms of this enzyme were also used for docking analysis, namely the stable human5-LOX enzyme (PDB ID: 3O8Y) [61] derived from the crystallization of the pure enzyme, and the human5-LOX structure (PDB ID: 3V99) [68] derived from a complex of the enzyme with its substrate, arachidonic acid. Although the structure 3V99 is expected to be more appropriate because of the co-crystallization with the substrate, the 3O8Y structure is preferred by some scientists because many amino acids are absent from the 3V99 structure [69] and there is a mutation of S663 to D which seems to affect the 5-LOX activity of the enzyme. Moreover, 3O8Y has adequate structural similarity with the 3V99, leaving enough space for the inhibitor to dock in the active center cavity [66]. However, 3O8Y may still not be suitable for long or bulky structures.
Since, n class="Species">mammalian 15-LOX has also been used in drug screening, the rat15-LOX enzyme, crystallized with 3-(2-oct-1-ynylphenyl) propanoic acid (PDB ID: 1LOX) [70] was also chosen for this study. In addition, comparison of the results to the 5-LOXhuman and 15-LOXmammalian enzyme may help to determine the selectivity of the inhibitors.
For docking analysis of the n class="Gene">1LOX structure, the docking center was kept as in the initial crystallographic structure and was in the middle of the catalytic cavity, very close to the Fe atom, which was always included at the 10 Å box around the target center. According to Feinstein et al. [65] a target box 2.9 times larger than the radius of gyration of a docking compound may improve docking efficiency. Since the length of our compounds in the lowest energy, slightly curved form, varied between 15.0 and 19.5 Å, three target boxes of 25 Å, 30 Å and 35 Å were chosen for docking studies of the compounds. In order to evaluate the target box suitability docking of the 3-(2-oct-1-ynylphenyl) propanoic acid, which is the ligand complexed with the rat15-LOX in the 1LOX structure, was used. (Figure 4).
Figure 4
(A) The reference compound 3-(2-oct-1-ynylphenyl) propanoic acid (OPPA) in complex with 1LOX; (B,D) Docking of OPPA to 1LOX (target box 35). The orientation of the compound is analogue to the original complex (In B. blue: polar interactions, brown: hydrophobic interactions, yellow: pi interactions). In the complex of 1LOX with OPPA (box 35), the carboxylic group of the ligand participates in polar interactions with Gln548 and His545. Hydrophobic interactions with His361, His366, Leu362 Ala404, Leu408 and Phe415 are observed while pi-pi interactions between Phe353 and carbon atoms of the phenyl ring of the ligand also take place; (C) Docking of OPPA to 1LOX (target box 30). The compound occupies an opposite orientation to than in the original complex.
For docking analysis to 3V99 the docking center was also kept as in the initial crystallographic structure, in the middle of the catalytic cavity, very close to the n class="Chemical">Fe atom, and the target box was set at 30 Å. Different combinations of docking centers, and target box dimensions were used for docking analysis of the structures 1YGE and 3O8Y (see Results). In order to evaluate efficiency of docking analysis, arachidonic acid was also docked.
Docking analysis to n class="Species">soybean LOX-1 (1YGE) and to human5-LOX structures 3O8Y, and 3V99 were carried out using Molecular Docking Server while docking analysis to soybean 3-LOX was performed using MolDock which combines the DE optimization techniques with a cavity prediction algorithm and a re-ranking process was applied to the highest ranked poses to further increase docking accuracy.
The best results were obtained by docking analysis of the structures that were crystallized in complex with a substn class="Species">rate or inhibitor (1LOX, 3V99 and 1JNQ) and are presented in Table 5. The results of docking analysis involving the enzymes which were crystallized without inhibitor (1YGE and 3V99) are presented in Table 6.
Table 5
Results of docking analysis to the rat 15-LOX, 1LOX, to human 5-LOX, 3V99 and the soybean LOX-3, 1JNQ, using different target center and box dimensions.
Comp.
Free Binding Energy (kcal/mole)
Docking Scores
IC50 (µM)
pIC50
Length
Rat 15-LOX 1LOX
Human 5-LOX 3V99
1JNQ
Box 30
Box 35
Box 30
Moldock
Rerank
1
−5.24
−117.175
−87.9702
26.25
−1.419
14.82
2
−6.68
−128.445
−72.0312
22.50
−1.352
15.72
3
−126.37
−75.89
43.75
−1.641
4
−7.50
−128.45
−82.031
31.25
−1.495
16.29
5
−7.76
−6.43
−136.803
−83.9406
22.50
−3.343
18.79
6
−116.026
−57.1526
30.00
−1.477
15.23
7
−85.017
−61.202
78.75
−1.896
8
−9.01
−119.09
−90.416
90.00
−1.954
18.22
9
−9.27
−8.29
−10.00
−142.373
−105.8901
2.50
−0.398
17.71
10
−61.93
−71.647
90.00
−1.954
11
−9.25
−6.71
−7.49
−62.19
−59.631
156.25
−2.194
19.61
12
61.25
−1.787
13
−142.186
−89.631
25.00
−1.398
16.90
14
−136.03
−77.1526
31.25
−1.498
15
−6.27
−147.28
−47.554
96.25
−1.983
15.30
16
−152.14
−80.727
90.00
−1.954
OPPA
−8.05
−8.09
A.A
−6.46
IC50 values are means of three determinations and deviation from the mean is <10% of the mean value. OPPA: 3-(2-oct-1-ynylphenyl) propanoic acid; A.A: Arachidonic acid.
Table 6
Results of docking analysis to the sLOX structure 1YGE and to human 5-LOX structure 3O8Y using different target center and box dimensions.
Free Binding Energy (Kcal/mole)
Comp.
Soybean sLOX 1YGE
Human 5-LOX 3O8Y
IC50
Center: x: 26.37, y: 42.69, z: 12.36
Center: x: 20.37, y: 46.69, z: 8.36
Center: x: 8.59, y: 22.65, z: −1.02
Center: x: −3.57, y: 17.66, z: 8.36
Center: x: −12.50, y: 75.50, z: 0.50
Box 20
Box 30
Box 35
Box 37 × 27 × 22
Box 36 × 20 × 20
Box 20
Box 30
Box 35
Box 20 × 25 × 20
Box 35 × 25 × 27
2
−7.11
−7.42
22.50
4
−7.00
31.25
5
+90.68
−8.20
−5.84
22.50
8
−7.83
90.00
9
+90.14
−6.34
−8.26
−5.68
−1.08
−8.28
−7.77
−8.25
−5.49
−6.09
2.50
11
−95.16
−6.41
−6.24
−6.01
+5.37
−8.09
−7.77
−6.51
−5.11
−6.63
156.25
13
−7.75
−7.57
−6.75
25.00
14
−7.09
−8.51
31.25
15
−7.32
96.25
NDHDA
−7.00
A.A
−6.63
−5.04
−4.37
−3.31
−6.72
−4.58
−4.97
In all cases the results obtained using target boxes with difn class="Chemical">ferent dimensions led to different ranking of the compounds according to the calculated free binding energy. In addition, substrate or ligand orientation and free binding energy of these complexes also varied according to the target box dimensions.
The best correlation of binding mode of the ren class="Chemical">ference compound 3-(2-oct-1-ynylphenyl) propanoic acid (OPPA) to 1LOX with the binding mode of the compound at the crystallized complex was obtained for a target box of 35 Å (Figure 4). Hence this target box was selected for the docking of the studied compounds. Analysis of five compounds, randomly selected from those designed, revealed that four out of the five exhibited free binding energy lower than −5.50 kcal/mole which can be considered as the cut-off energy for inhibition activity [34]. Moreover, lower free binding energy (−8.29 kcal/mole) compared to the ligand OPPA (−8.09 kcal/mole) was calculated for compound 9.
Docking of five randomly selected compounds to the n class="Species">human 5-LOX, 3V99 revealed that the free binding energy of the compounds varied between −6.27 kcal/mole and −10.00 kcal/mole. For four out of the five, the calculated free binding energy was lower than the energy calculated for the natural substrate of the enzyme, arachidonic acid (−6.27 kcal/mole).
The docking scores to the n class="Species">soybean LOX-3: 1JNQ, also indicated that these compounds can effectively inhibit the soybeanLOX-3 and related LOX enzymes.
The results indicated a high probability of existence of efpan class="Chemical">fective inhibitors, among the designed compounds.
2.4. Chemistry
The titled compounds were synthesized by condensation of pan class="Chemical">mycophenolic acid with the corresponding pan class="Chemical">amines, as shown in Scheme 1.
Scheme 1
Synthesis of the title compounds. R1 and R2 are shown in Table 1.
All compounds were characterized by melting point and pan class="Chemical">1H-NMR and pan class="Chemical">13C-NMR. The spectrosopic data were in accordance with the proposed structures.
2.5. Biological Evaluation
In vitro evaluation of the compounds against the widely used n class="Species">soybean s-LOX-1 enzyme [25,26,27] revealed that their IC50 values varied between 2.50 μΜ and 156.25 μΜ (Table 5). It was observed that differentiation of both R1 and R2 substituents significantly affects inhibitory action.
Comparison of the pan class="Chemical">hydroxyl derivatives 1 (IC50 = 26.25 µM) and 2 (IC50 = 22.50 µM) with the methoxy- analogues 15 (IC50 = 96.25 µM) and 16 (IC50 = 90.00 µM) respectively difpan class="Chemical">fering in the R1 substituent of the benzyl ring, revealed that the OH group strongly favors inhibitory action compared to the OMe- group.
Compounds 1–14 which belong to the same group concerning the R1 substituent (R = OH), are ranked as follows: 9 > 2, 5 > 13 > 1 > 6 > 4, 14 > 3 > 12 > 7 > 8, 10 > 11. The R2 substituent consists of a non-substituted or a substituted n class="Chemical">thiazol-2-yl ring. Addition of a methyl group at position 5 of the ring (compound 2) results in a reduced IC50 value (22.50 µM) compared to the non-substituted compound 1 (26.25 µM). On the other hand, introduction of a methyl (compound 4) or an ethyl acetate group (compound 6) at position 4 of the ring results in decreased activity, with IC50 values of 31.25 µM and 30.00 µM, respectively. The introduction of a second small hydrophobic methyl-substituent at position 5 of compound 4 leads to an even less active compound, 3 (IC50 = 43.75 µM). Interestingly, the presence of the long, relatively hydrophilic ethyl formate substituent at position 5 of a 4-methyl thiazol-2-yl moiety seems to counteract the positive effect of the 4-methyl substituent, leading to compound 5 with an IC50 = 22.50 µM.
Interestingly the presence of a n class="Chemical">pyridine ring at position 4 of the thiazol-2-yl moiety had a different effect depending on the position of the nitrogen in the ring. The pyridine-4-yl and pyridine-3-yl derivatives, 7 and 8, showed decreased activity with IC50 values 78.75 µM and 90.00 µM, respectively, while the pyridine-2-yl derivative, 9, exhibited the best activity with an IC50 value of 2.50 µM, underlining the great importance of the presence of the electronegative nitrogen atom close to position 4 of the thiazolyl moiety.
Addition of hydrophobic rings at position 4–5 of the n class="Chemical">thiazol-2-yl ring did not favor the activity. The difference in IC50 values of the derivatives varied between 25.00 µM (13) and 90.00 µM (10) with a ranking as follows: cycloheptene > cyclopentene > cyclohexene > benzene. The size and bending capacity of the ring may be related to the different activities of the compounds. Methoxy-substitution of the benzene ring resulted in compound 11 with an even lower activity (IC50 value of 156.25 µM).
2.6. Docking Analysis-Assisted Justification of Inhibitory Action
The docking studies revealed that docking results do not always correlate with the IC50 values (Table 5) of compounds. However, the best docking scores for all tested enzyme structures (n class="Species">soybean LOX-3: 1JNQ, as well as also for the human5-LOX: 3V99 and the rat15-LOX: 1LOX) were obtained for compound 9, with the lowest IC50 value.
Analysis of the docking of compound 9 to all three enzymes (n class="Species">soybean LOX-3: 1JNQ, rat15-LOX: 1LOX and human5-LOX: 3V99 (Figure 5B, Figure 6A,A′ and Figure 7A,A′, respectively) showed a strong involvement of hydrogen bonding and pi interactions in complex stabilization. The N atom of the pyridine ring participates in hydrogen bond interactions in all cases, while the pyridine and thiazolyl- rings participate in pi interactions. A different orientation and lack of hydrogen bonds are observed in the case of the less active compound 11 in all enzyme structures (Figure 5C, Figure 6B,B′ and Figure 7B,B′).
Figure 5
(A) Alignment and molecular interactions of co-crystallized epigalocatechin and redocked epigalocatechin in the LOX binding site PDB ID 1JNQ; (B) Interactions of the most active compound 9 with LOX protein PDB ID 1JNQ; (C) Molecular interactions of the least active compound 11 with LOX protein PDB ID 1JNQ. Hydrogen bonds are shown in green.
Figure 6
Docking analysis of the most active (IC50 2.5 µM) compound 9, (A,A′) and the less active, (IC50 156.25 µM) compound 11 (B,B′) to the active site of the rat 15-LOX structure PDB ID: 1LOX (target box 35). Green: hydrogen bond interactions, Blue: polar interactions, yellow: pi interactions, brown: hydrophobic interactions.
Figure 7
Docking analysis of the most active (IC50 2.5 µM) compound, 9, (A,A′) and the less active, (IC50 156.25 µM) compound 11 (B,B′) with the active site of the human 5-LOX structure PDB ID: 3V99 (target box 30). Green: hydrogen bond interactions, blue: polar interactions, yellow: pi interactions, brown: hydrophobic interactions.
More precisely all compounds exhibited good binding affinity towards the n class="Species">soybean LOX-3: 1JNQ (Table 1). Compound 9 showed comparatively higher binding affinity represented by its Moldock and re-rank scores, which were better than the reference compound, and a significantly lower IC50 value. As shown in Figure 3B, the compound is placed in a bended conformation at the active site of the enzyme interacting with the amino acids His518, Leu773, Gln716 and Asn713. Hydrogen bonds are formed between the N of pyridine and thiazolyl rings and His518 and between OH substituent of the benzene ring and carbonyl group of the furanone ring and the amino acids Asn713 and Gln716. Moreover, “pi-pi” interactions with the residues Phe576 and Trp519 are also observed. Involvement of amino acids such as Asn713 and His518 in hydrogen bond formation as well as pi-pi interactions have been mentioned in complex stabilization of other ligands to 1JNQ, such as the reference ligand, epigalocatechin, presented in Figure 4A. In contrast only one hydrogen bond with His623 and no pi-pi interactions were observed in case of the less active compound 11 (Figure 5C).
Docking analysis of the n class="Species">rat 15-LOX structure PDB ID: 1LOX (target box 35) revealed that compound 9 is also placed in the active center of the enzyme in a curved conformation with the pyridine-2-yl-5-thiazol-2-yl moiety oriented in the vicinity of Leu408, Ile414, Phe415, Glu357, His361, His545 and Ile663, and the 1,3-dihydroisobenzofuran-2-one moiety placed near Phe175 (Figure 6A,A′). Two hydrogen bonds are formed between the H atom of the amide group linked to the thiazolyl- moiety and the O atoms of the peptide bonds of Ile663 and His545, while two more hydrogen bonds are formed between the N atom of the pyridine ring and Glu357. Phe415, His361 and Phe175 participate in pi-pi interactions with pyridine, thiazolyl and benzene rings respectively. In addition, hydrophobic interactions with Ile414, Leu408 and Arg403 also contribute to complex stabilization.
The less active compound, 11 has a difn class="Chemical">ferent orientation in the 1LOX active site, with the 1,3-dihydrobenzofuranone moiety placed near Leu597, Ile663 and Phe175, with which it participates in a π-π interaction. However, the benzothiazolyl moiety is now placed near Arg403 and Ile400. No hydrogen bond formation and fewer π-π interactions are observed in this case, which explains the higher free binding energy of this complex (−6.71 kcal/mole compared to the −8.29 kcal/mole of compound 9).
Docking of compound 9 to n class="Species">human 5-LOX: 3V99, revealed that the enzyme was oriented with the thiazolyl moiety towards Leu607, Phe610, Tyr558, Asn 554, Phe555 and Glu557 and the dihydroisobenzofuranone moiety towards Lys409 (Figure 7A,A’). Three hydrogen bonds are formed between the H and N atom of the amide group linked to the thiazolyl moiety and the side chain of Gln557 and Asn554 and a fourth one is formed between the N atom of the pyridine ring and the peptide bond of Phe555. π-π interactions between the pyridine and thiazolyl rings and the amino acids Phe558 and Phe610 also participate in complex stabilization. The observed interactions indicate a high affinity of the compound with the active site of the human5-LOX enzyme, which will be the real target of the prospective inhibitors. This explains the low calculated free binding energy of the compound to 3V99 (−10.00 kcal/mole) and supports the idea that compound 9 can effectively inhibit the human enzyme.
A more bent conformation is adapted by compound 11 (Figure 7B,B′) with the n class="Chemical">thiazolyl moiety placed in the same area of the enzyme as in the case of compound 9, and the dihydro-isobenzofuranone moiety placed towards Phe 177. No hydrogen bond is observed in this case. However π-π interactions are formed between the benzothiazolyl moiety and the amino acids Phe555 and Phe619 and between the furanone ring and the amino acid Phe177. The relatively weaker interactions observed justify the higher free binding energy of this compound (−7.49 kcal/mole).
A higher free binding energy (−9.01 kcal/mole) was calculated for the n class="Chemical">pyridine-3-yl derivative 8 compared to the pyridine-2-yl derivative 9. According to docking (Figure 8) the different position of the N atom in pyridine ring results in inability to form a hydrogen bond with Phe555. Three hydrogen bonds are now formed between the H atom of the amide group linked to the thiazolyl moiety and the O atoms of Gln557 and Asn554 while pi-pi interactions between the pyridine and thiazolyl ring and Phe555, Tyr558 and Phe610 also participate in complex stabilization.
Figure 8
Docking analysis of compound, 8, with the active site of the human 5-LOX structure PDB ID: 3V99 (target box 30). Green: hydrogen bond interactions, yellow: pi interactions, brown: hydrophobic interactions.
2.7. Evaluation of Docking Analysis Efficiency
In general, the n class="Species">soybean sLOX structure 1YGE and the human5-LOX structure 3O8Y, where the enzyme was crystallized without substrate or inhibitor, were not suitable for docking analysis of these compounds, probably due to their size. Structure alignment of the two human5-LOX structures, 3O8Y (crystallized without substrate) and 3V99 (with substrate), clearly indicates the increased volume of the active site in case of 3V99 (Figure 3A,B).
For docking analysis of the structure 1YGE, the docking center was kept as in the initial crystallographic structure and was in the middle of the catalytic cavity, very close to the n class="Chemical">Fe atom, which was always included at the 10 Å box around the target center (target center: x = 26.37, y = 42.69). According to Feinstein et al. [66] a target box 2.9 times larger than the radius of gyration of a docking compound may improve docking efficiency. Since the length of our compounds in the lowest energy varied between 15.0 and 19.5 Å, three target boxes of 20 × 20 × 20 Å, 30 × 30 × 30 Å and 35 × 35 × 35 Å were chosen for docking analysis of the compounds. A positive free binding energy was calculated for the box at 20 Å (Table 6). Negative values for the free binding energy were obtained for boxes 30 Å and 35 Å. However, the extended docking target and the constrained area at the active center of the enzyme enabled attachment of the compounds at incorrect docking sites in some cases. Figure 9A,B show the binding site of compound 11, and the distance between this and the active center of the enzyme.
Figure 9
(A,B) Docking of compound 11 to the soybean LOX-1 structure 1YGE, target center: x = 26.37 Å, y = 42.69 Å, z = 12.36 Å, target box 35 × 35 × 35Å. The target box enables the compound to dock preferentially at the upper left corner, behind the active site. The interacting amino acids are marked in yellow at Figure 7B; (C) Structure 1YGE with the target box in yellow (center x = 20.37 Å, y = 46.69 Å, z = 8.3 Å, box 37 × 27 × 22 Å); (D) Docking of compound 11 to 1YGE (center x = 20.37 Å, y = 46.69 Å, z = 8.3 Å, box 37 × 27 × 22 Å).
Since the active site is not sufficiently included in a cubic box centered on the pan class="Chemical">Fe atom several changes were made to the center and box dimensions to include all interacting amino acids and to exclude the non-interacting ones from the target area (Table 5, Figure 9C). This gave better results (Figure 9D), but although the target area was closer to the active site, some compounds failed to bind into the active center cavity, but nevertheless were attached to amino acids around the entrance of the cavity. This was probably due to the restricted cavity and entrance size, which are enlarged in enzymes crystallized with their substpan class="Species">rates or inhibitors.
Moreover the n class="Disease">insufficiency of this structure as a tool for docking analysis for these compounds is shown by the lack of correlation between the calculated free binding energies and the IC50 values of the compounds in most cases (Table 5). Since, the 1YGE structure corresponds to the soybean enzyme used for the biological evaluation, successful docking analysis should effectively predict the IC50 values of the compounds.
Although the pan class="Species">human n>n class="Gene">5-LOX 3O8Y has been previously used by our team for docking evaluation [28], and the structure is proposed for drug screening by other scientists [29], the results obtained for some of the compounds of this group were not satisfactory.
In an analogous way with 1YGE pren class="Chemical">ferential docking of the compounds to other sites in the neighborhood or around the entrance of the active site was observed, probably because of the large volume and length of the compounds and the restricted area of the active site. Docking of compound 9 to the human5-LOX structure 3O8Y at 35 × 35 × 35 Å target box (target center: x = 8.59 Å y = 22.65 Å, z = −1.02 Å), and when the target box was set at 35 × 25 × 27 Å (target center: x: −12.5 Å, y: 75.5 Å, z: 0.5 Å), are shown in Figure 10A,C, respectively. Docking of compound 11 to 3O8Y (center x: −12.5, y: 75.5 Å, z: 0.5 Å, box 35 × 25 × 27 Å) is shown in Figure 10D. The binding site of the compound, although close to the active site cavity, is located at the external area of the molecule (Figure 11), so the second available human5-LOX structure, 3V99, was preferably used for inhibition evaluation.
Figure 10
(A) Docking of compound 9 to the human 5-LOX structure 3O8Y, target center: x = 8.59 Å y = 22.65 Å, z = −1.02 Å, target box 35 × 35 × 35 Å. The target box enables the compound to dock preferentially at the upper left corner, behind the active site; (B) Structure 3O8Y with the target box in yellow (center x: −12.5 Å, y: 75.5 Å, z: 0.5 Å, box 35 × 25 × 27 Å); (C) Docking of compound 9 to 3O8Y (center x: −12.5 Å, y: 75.5 Å, z: 0.5 Å, box 35 × 25 × 27 Å); (D) Docking of compound 11 3O8Y (center x: −12.5 Å, y: 75.5 Å, z: 0.5 Å, box 35 × 25 × 27 Å).
Figure 11
(Α) Conserved and 5-LOX specific amino-acids which participate in interactions with substrates and inhibitors at the active site of 3O8Y, indicated in yellow (some of them barely seen because they are hidden inside the cavity); (B) Amino acids interacting with compound 11 in the preferred docking pose to 308Y (center x: −12.5 Å, y: 75.5 Å, z: 0.5 Å, box 35 × 25 × 27). The interacting amino acids are located at the external area of the molecule.
Docking to the n class="Species">human 5-LOX structure, 3V99, (box 30 × 30 × 30) and to the rat15-LOX, 1LOX, (box 35 × 35 × 35), led to adequate amino acid interaction patterns (Table 5, Figure 4, Figure 6, Figure 7 and Figure 8). These results can be used for the prediction of activity to the human5-LOX and for specificity evaluation.
The use of the n class="Species">soybean LOX-3 structure, 1JNQ also led to adequate amino acid interaction patterns. Docking studies were performed using the Molegro virtual docker. The re-rank scores which indicated improved docking accuracy over the Moldock score correlated relatively well with the observed LOX inhibitory activity (pIC50).
3. Materials and Methods
3.1. General Information
Solvents, unless otherwise specified, were of analytical reagent grade or of the highest quality commercially available. Synthetic starting materials, reagents and solvents were purchased from InterBioscreen (Chernogolovka, Russia, https://www.ibscreen.com/) and n class="Chemical">mycophenolic acid (CAS number 24280-93-1) was from Sigma-Aldrich Chemie (Steinheimm, Germany). Melting points (°C) were determined with a Boetius apparatus and are reported without correction. 1H-NMR spectra of the novel synthesized compounds in DMSO-d6 solutions were recorded on an AC 300 instrument (Bruker, (Bruker, Karlsruhe, Germany) at 298 K. 13C-NMR in d-CHCl3 were recorded on Bruker AC 500 instrument. Chemical shift (δ) values for 1H-NMR spectra are reported in parts per million (ppm) with the solvent resonance as the internal standard. MS spectra were recorded on an ESI-MS instrument (Micromass ZMD Waters, Milford, MA, USA). TLC analyses were performed with Merck silica gel 60 F254 precoated plates, and each of the synthesized compounds showed a single spot. High-resolution mass spectra (HRMS) were registered on Bruker MicrOTOF ESI-TOF mass spectrometer (see Supplementary Material).
3.2. Biological Activity Spectra Prediction
Prediction of activity spectra (pan class="Chemical">PASS) is software training set of which consist of 950,801 drugs, drug candidates and toxic substances. It simultaneously predicts 7158 kinds of biological activities, mechanism of action, n>n class="Disease">toxicity etc. The average accuracy of prediction in leave-one-out cross validation (LOO CV) for the whole training set is 95%. Details of the method used for prediction are described in the website [71] and in our paper [27].
3.3. Docking Analysis
Docking analysis to n class="Species">soybean LOX-1 (1YGE) and to human5-LOX structures 3O8Y and 3V99 were carried out using Molecular Docking Server [72] as previously described in our paper [56]. In all cases, during enzyme preparation for docking analysis, the bound ligand was extracted but the Fe atom was maintained in the structure, a practice used in conjugated proteins or metaloenzymes/metalloproteins such as LOX. The pH for ligand preparation was set at 7.0 in all cases.
Docking analysis to n class="Species">soybean 3-LOX was performed using the Molegro virtual docker 4.0, and Discovery studio visualizer 3.0 (DS3.0). MolDock, a docking module of Molegro Virtual Docker (MVD) software [68], is based on a new hybrid search algorithm, called guided differential evolution (DE) which combines the DE optimization techniques with a cavity prediction algorithm, as described in previous paper [73]. This algorithm enables a fast and accurate identification of potential binding modes (poses). Moreover, a re-ranking process was applied to the highest ranked poses to further increase docking accuracy. The epigallocatechin from 1JNQ was used as the template with the default settings for docking studies, in a grid size of 15 Å radius defining the binding site with a grid resolution of 0.30, as previously reported by our group [74].
For the validation of the docking protocol, the ren class="Chemical">ference compound epigallocatechin was docked in the binding site of LOX protein (PDB ID 1JNQ). Similarity of the docking interactions with important residues of the binding site between the tested compounds and co-crystalized ligand was observed (Figure 5A).
3.4. Chemistry
The initial compounds were purchased from the InterBioscreen Ltd. (Chernogolovka, Russia) chemical library, consisting of over 600,000 unique HTS-compounds including ~60,000 natural products, their derivatives and mimetics. Compound 1 was mentioned in the litepan class="Species">rature [75].
General Method for the Synthesis of Mycophenolic Acid Derivatives
For the evaluation of n class="Gene">lipoxygenase inhibition soybeanLOX type 1b was used as reported previously [26,27]. The selection was based on the structural and functional similarity of sLOX-1 with mammalianLOX [36,50,51,52] which makes it the most commonly used LOX enzyme in drug screening, followed by sLOX-3 [40]. Interestingly, a greater identity is observed between human5-LOX and soybeanLOX b than with potato5-LOX which has also been used in LOX inhibition assays, recently.
The assay conditions were as previously reported [27,64]. Difpan class="Chemical">ferent compound concentpan class="Species">rations were used for the calculation of IC50 values. The experiments were performed in triplicate.
4. Conclusions
All compounds exhibited inhibitory action with IC50 values ranging from 2.5 μm to 150 μΜ depending on the structure of the compounds. n class="Chemical">Hydrogen bond formation and pi-pi interactions are involved in complex stabilization of the most potent compounds according to docking studies. The presence of an electronegative atom close to position 4 of the thiazolyl moiety seams to enhance the activity of the compounds of this series, probably due to participation of hydrogen bond formation.
Docking studies using two difn class="Chemical">ferent human5-LOX structure (3O8Y and 3V99) one mammalian15-LOX structure (1LOX) and two soybean structures (sLOX-1: 1YGE and LOX-3: 1JNQ) showed that the structures of enzymes crystallized without substrate or inhibitor (1YGE, 3O8Y) cannot be used for prediction of activity of this series of compounds. On the other hand, docking to soybean1JNQ using the MolDock software adequately estimated inhibitory action and amino acid interactions. Moreover, the human5-LOX structure 3V99 and the mammalian15-LOX structure 1LOX can be used for estimation of human5-LOX and 15-LOX inhibition, selectivity and amino acid interactions.
Authors: Jian-Ming Lü; Jacobo Nurko; Sarah M Weakley; Jun Jiang; Panagiotis Kougias; Peter H Lin; Qizhi Yao; Changyi Chen Journal: Med Sci Monit Date: 2010-05
Authors: Jaime L Masferrer; Ben S Zweifel; Medora Hardy; Gary D Anderson; Dawn Dufield; Luz Cortes-Burgos; Robert A Pufahl; Matthew Graneto Journal: J Pharmacol Exp Ther Date: 2010-04-08 Impact factor: 4.030
Authors: Mansour Sobeh; Samar Rezq; Mohammed Cheurfa; Mohamed A O Abdelfattah; Rasha M H Rashied; Assem M El-Shazly; Abdelaziz Yasri; Michael Wink; Mona F Mahmoud Journal: Biomolecules Date: 2020-04-13