Yu-Shun Yang1, Fei Zhang2, Dan-Jie Tang2, Yong-Hua Yang2, Hai-Liang Zhu2. 1. State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing, P. R. China; Institute of Chemical and Biomedical Science, Nanjing University, Nanjing, P. R. China. 2. State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing, P. R. China.
Abstract
A series of novel 2-(1,3-diaryl- 4,5-dihydro-1H-pyrazol-5-yl)phenol derivatives (C1-C24) have been synthesized. The B-Raf inhibitory activity and anti-proliferation activity of these compounds have been tested. Compound C6 displayed the most potent biological activity against B-RafV600E (IC50 = 0.15 µM) and WM266.4 human melanoma cell line (GI50 = 1.75 µM), being comparable with the positive control (Vemurafenib and Erlotinib) and more potent than our previous best compounds. The docking simulation was performed to analyze the probable binding models and poses while the QSAR model was built to check the previous work as well as to introduce new directions. This work aimed at seeking more potent inhibitors as well as discussing some previous findings. As a result, the introduction of ortho-hydroxyl group on 4,5-dihydro-1H-pyrazole skeleton did reinforce the anti-tumor activity while enlarging the group on N-1 of pyrazoline was also helpful.
A series of novel 2-(1,3-diaryl- 4,5-dihydro-1H-pyrazol-5-yl)phenol derivatives (C1-C24) have been synthesized. The B-Raf inhibitory activity and anti-proliferation activity of these compounds have been tested. Compound C6 displayed the most potent biological activity against B-RafV600E (IC50 = 0.15 µM) and WM266.4humanmelanomacell line (GI50 = 1.75 µM), being comparable with the positive control (Vemurafenib and Erlotinib) and more potent than our previous best compounds. The docking simulation was performed to analyze the probable binding models and poses while the QSAR model was built to check the previous work as well as to introduce new directions. This work aimed at seeking more potent inhibitors as well as discussing some previous findings. As a result, the introduction ofortho-hydroxyl group on 4,5-dihydro-1H-pyrazole skeleton did reinforce the anti-tumor activity while enlarging the group on N-1 ofpyrazoline was also helpful.
Cancer is continuing to act as a major problem of health all over the world, enacting the second cause of mortality [1]. Discovering new anticancer agents remains critically important in spite of the progress in medicine.Ras-Raf-MEK-ERK serine threonine kinase cascade, which is also called ERK/MAP kinase pathway or ‘classical’ MAPK pathway, has been convinced to be important for cell proliferation and survival [2], [3]. It can be hyper-activated in up to 30% ofhumancancers [4]. All through the pathway, activating mutations in Raf have been observed most in 50–70% ofcell lines and tumors in melanoma, then 40%–70% in thyroid cancer, 50–70% in ovarian cancer [5], [6], [7]. B-Raf is an isoform ofRaf kinases. Approximately 90% of its activating mutations in cancers are valinefor glutamic acid substitution (V600E, formally defined as V599E) [5], [8], [9]. This kind of mutations causes a 500-fold increase in the basal rate ofMEK phosphorylation over wild-type B-Raf [10]. This kind of increase stimulates tumor growth and vascular endothelial growth factor secretion [11], [12]. Thus, B-RafV600E is indicated to be a therapeutic target for designing anticancer drugs [13].Although Vemurafenib is considered to be the most potent B-Raf inhibitor now and has received FDA approval [14], researches of alternative skeletons are attempting to break the limitation of the fixed structure. Among inhibitors ofB-Raf, SB-590885 has displayed potent inhibitory activity [15]. SB-590885 is a novel triarylimidazole derivative. The origin of its selectivity for B-Raf seems probably due to its interactions with several B-Raf amino acids and the presence of the indane-oxime. One particular interaction is formed between heterocyclic rings (both imidazole and pyridine) ofSB-590885 and PHE583 ofB-Raf [15]. Meanwhile, in spite of other pharmaceutical and agrochemical activities [16], [17], dihydropyrazole derivatives have been screened and convinced to be potent and selective inhibitors ofB-RafV600E
[18]. As for all the series in this paper, they avoid the quinoline moiety ofVemurafenib thus the corresponding side effect is eliminated radically.In our previous research, a reliable 3D QSAR model was built from a series of4,5-dihydropyrazole derivatives containing niacinamide moiety (series I) to visualize the SAR (Structure Activity Relationship) [19]. In that series, niacinamide moiety was relatively suitable in size. However, in another independent research (series II) of our group, while the niacinamide moiety was absent, inhibitory activity of the compounds was still comparable with that of the former ones [20]. The structures of both series were shown in Figure 1. Considering the reliability of the model and the structural differences, we inferred that the introduction ofhydroxyl group might cause the phenomena. In this paper, we chose the skeleton of series II and replaced the original acetyl group with phenyl group (primarily fulfilling the requirement of size). One purpose was to check the previous model while the other was to verify the positive effect ofhydroxyl group. As a preliminary exploration, the situation was simplified by defaulting the carbonyl and substitutes on the new added phenyl.
Figure 1
The structures of previous series I and series II.
Results and Discussion
1. Chemistry
Twenty-four 2-(1,3-diaryl- 4,5-dihydro-1H-pyrazol-5-yl)phenol derivatives were synthesized and screened for their antitumor activity. All of them were synthesized for the first time except compound C20
[21]. The general synthesis method and the structures ofcompounds C1–C24 were organized in Table 1 and Figure 2. They were all prepared in two steps. Firstly, different substituted acetophenones on treatment with substituted salicylaldehyde in presence of 40% NaOH were stirred at 0°Cfor 30 min to avoid side reactions. Then the mixtures were placed to room temperature to continue the reaction for 4 h, yielding different analogues ofchalcones (B). Secondly, phenylhydrazine was added to participate the cyclization of the obtained powder, leading to the corresponding target compounds C1–C24 2-(1,3-diaryl- 4,5-dihydro-1H-pyrazol-5-yl)phenol. Subsequent purification with recrystallisation was conducted and the refined compounds were finally obtained. All of the syntheticcompounds gave satisfactory analytical and spectroscopic data, which were in full accordance with their depicted structures.
With a general method, all the synthesized compounds C1–C24 were evaluated for their anti-proliferation effect and B-RafV600E inhibitory activity. The results were expressed as concentrations of IC50 (the half maximal inhibitory concentration ofB-RafV600E mediated MEK phosphorylation) and GI50 (the half maximal inhibitory concentration ofWM266.4humanmelanomacell line [22] growth), presented in Table 2. WM266.4humanmelanomacell line was chosen because mutations in Raf have been observed most in melanoma. Two previous best compounds C0A (named 27e in previous work) [19] and C0B (named 3d in previous work) [20] were taken into the same evaluation (both their test results and literature values) for comparison. As shown in Table 2, a majority of the compounds showed potent B-RafV600E inhibitory activity. It seemed that the introduction ofhydroxyl group did enhance the activity while replacing original acetyl with phenyl also led to positive effect.
Table 2
B-RafV600E inhibitory activity and anti-proliferation activity of the synthesized compounds (C1–C24) as well as previous compounds C0A and C0B.
compounds
IC50 (µM)
GI50 (µM)
compounds
IC50 (µM)
GI50 (µM)
B-RafV600E
WM266.4
B-RafV600E
WM266.4
C1
71.90±6.77
>50
C13
2.73±0.19
4.45±0.41
C2
0.50±0.04
2.01±0.13
C14
2.20±0.20
3.69±0.32
C3
0.63±0.06
2.09±0.18
C15
1.29±0.10
2.65±0.19
C4
1.49±0.11
2.85±0.23
C16
2.78±0.21
4.55±0.44
C5
0.51±0.05
1.98±0.17
C17
0.57±0.05
2.03±0.18
C6
0.15±0.01
1.75±0.12
C18
0.34±0.02
1.88±0.15
C7
2.60±0.23
4.26±0.36
C19
2.26±0.19
3.76±0.32
C8
2.66±0.19
4.39±0.31
C20
2.14±0.19
3.59±0.28
C9
1.37±0.13
2.73±0.21
C21
3.12±0.26
5.13±0.49
C10
3.24±0.28
5.37±0.49
C22
7.37±0.65
23.93±1.99
C11
1.07±0.08
2.43±0.16
C23
1.01±0.08
2.38±0.23
C12
0.50±0.05
1.99±0.13
C24
0.97±0.09
2.34±0.17
C0A
0.19±0.02
0.93±0.07
C0B
0.23±0.03
0.56±0.04
C0A(lit)
0.20±0.03
0.89±0.04
C0B(lit)
0.22±0.06
0.45±0.03
Erlotinib
0.06±0.01
8.12±0.75
Vemurafenib
0.03±0.005
0.21±0.02
The same as the previous researches [19], [20], the GI50 values of these compounds shared a similar tendency with their relevant IC50 values (linear regression: R square = 0.826, a normal level). This indicated the correlation between the anti-proliferative effect and the B-Raf inhibitory activity.Out of the twenty-four compounds, C6 displayed the most potent activity (IC50 = 0.15 µM; GI50 = 1.75 µM). The values were comparable with that of the positive control Vemurafenib (IC50 = 0.03 µM; GI50 = 0.21 µM) and Erlotinib (IC50 = 0.06 µM; GI50 = 8.12 µM). C6 was slightly better than the previous best compounds C0A (IC50 = 0.19 µM in test; IC50 = 0.20 µM in literature) and obviously better than C0B (IC50 = 0.23 µM in test; IC50 = 0.22 µM in literature) on B-Raf inhibitory activity but less potent (C0A: GI50 = 0.93 µM in test and GI50 = 0.89 µM in literature; C0B: GI50 = 0.56 µM in test and GI50 = 0.45 µM in literature) on anti-proliferation. A possible explanation might be the influence of logP and PSA (polar surface area). With the substitutes defaulted, the skeletons of series I (logP = 3.359; PSA = 45.565) and series II (logP = 2.864; PSA = 52.901) were in better situations than that of our series (logP = 5.2; PSA = 35.83). Fortunately, it seemed that the skeleton itself displayed better B-Raf inhibitory effect, for the IC50 scale in this series (∼1.5 µM) was lower than that of Series II (∼2.3 µM). Then the disadvantage in anti-proliferation could be promoted by introducing appropriate pharmacokinetics groups.According to the results, preliminary SAR studies were conducted to deduce the influence of structure variation on anticancer activity. Firstly, as shown, enlarging the size of acetyl enhanced the B-Raf inhibitory activity thus the previous 3D QSAR model was relatively correct. Meanwhile, the introduction ofhydroxyl was helpful indeed. Secondly, we fixed ring A (R1 and R2) and analyzed the substitutes on ring B (R3 and R4). A general trend was null > bromo > chloro ≥ dichloro. For example, C6 (IC50 = 0.15 µM; GI50 = 1.75 µM) > C18 (IC50 = 0.34 µM; GI50 = 1.88 µM) > C12 (IC50 = 0.50 µM; GI50 = 1.99 µM) > C24 (IC50 = 0.97 µM; GI50 = 2.34 µM) and C3 (IC50 = 0.63 µM; GI50 = 2.09 µM) > C15 (IC50 = 1.29 µM; GI50 = 2.65 µM) > C9 (IC50 = 1.37 µM; GI50 = 2.73 µM) > C21 (IC50 = 3.12 µM; GI50 = 5.13 µM). Thus, for this point, a smaller and less negative charged substitute was preferred. The only group against this trend enjoyed a same ring A (para-fluoro). A relatively large ring B might be a remedy of small ring A. Finally, we fixed ring B (R3 and R4) and analyzed the substitutes on ring A (R1 and R2). A preliminary trend was dichloro > methoxyl ≥ bromo ≥ chloro ≥ fluoro > methyl. For example, C18 (IC50 = 0.34 µM; GI50 = 1.88 µM) > C17 (IC50 = 0.57 µM; GI50 = 2.03 µM) > C15 (IC50 = 1.29 µM; GI50 = 2.65 µM) > C14 (IC50 = 2.20 µM; GI50 = 3.69 µM) > C13 (IC50 = 2.73 µM; GI50 = 4.45 µM) ≈C16 (IC50 = 2.78 µM; GI50 = 4.55 µM) and C12 (IC50 = 0.50 µM; GI50 = 1.99 µM) > C11 (IC50 = 1.07 µM; GI50 = 2.43 µM) > C9 (IC50 = 1.37 µM; GI50 = 2.73 µM) > C8 (IC50 = 2.66 µM; GI50 = 4.39 µM) ≈C7 (IC50 = 2.60 µM; GI50 = 4.26 µM) > C10 (IC50 = 3.24 µM; GI50 = 5.37 µM). As for the para-position only, a larger and electron-donating substitute was recommended. However, dichloro suggested electron-withdrawing substitute on meta-position might enhance the inhibitory activity. Thus, multi-substituted situations would be a promising direction to modify this skeleton. The data were visualized as maps and a more brief SAR analysis was displayed in the 3D QSAR part below.
3. Molecular Docking
Molecular docking techniques were used to visualize the possible binding model of interactions between a protein (enzyme) and small molecules (ligands) [23]. In this study, the docking part was conducted using the CDOCKER protocol in Discovery Studio 3.1 (Discovery Studio 3.1, Accelrys, Inc. San Diego, CA) to visualize the probable binding method between our compounds and B-Raf. The docking of all twenty-four 2-(1,3-diaryl- 4,5-dihydro-1H-pyrazol-5-yl)phenol derivatives into the active site of the receptor B-Raf was performed. Two crystal structures ofB-Raf (PDB Code: 3PSD.pdb [24] and 2FB8.pdb [15]) were chosen. Their original ligands were 6-[1-(piperidin-4-yl)-3-(pyridin-4-yl)-1H-pyrazol-4-yl]indeno[1,2-c]pyrazole (ligand code: SM7) and SB-590885, respectively. They were both obtained from the RCSB protein data bank (http://www.pdb.org). The receptor and ligands were prepared and the site sphere was chosen due to the ligand binding location. The same as another previous study [25], the results of models using 3PSD and 2FB8 were almost the same due to the generation of random conformations and the similarity of the active sites. The 2D and 3D binding maps of the most potent compound C6 with 3PSD were depicted in Figure 3. The 2D maps of two comparisons C18 and C5 were also shown.
Figure 3
Docking models of representative compounds.
(A) 2D molecular docking modeling of compound C6 with 3PSD. (B) 3D model of the interaction between compound C6 and 3PSD bonding site. (C) 2D molecular docking modeling of compound C18 with 3PSD. (D) 2D molecular docking modeling of compound C5 with 3PSD. The H-bonds (green line) are displayed as dotted lines and the amino acid they act on are labeled in green. The π–cation interactions and π–π interactions are shown as orange lines with their corresponding amino acids labeled in yellow. Other important amino acids are labeled in blue.
Docking models of representative compounds.
(A) 2D molecular docking modeling ofcompound C6 with 3PSD. (B) 3D model of the interaction between compound C6 and 3PSD bonding site. (C) 2D molecular docking modeling ofcompound C18 with 3PSD. (D) 2D molecular docking modeling ofcompound C5 with 3PSD. The H-bonds (green line) are displayed as dotted lines and the amino acid they act on are labeled in green. The π–cation interactions and π–π interactions are shown as orange lines with their corresponding amino acids labeled in yellow. Other important amino acids are labeled in blue.In the binding model, compound C6 was nicely bound to 3PSD via one hydrogen bond, one π–cation interaction and several π–π interactions. The hydroxyl provided by the salicylaldehydecontributed to the hydrogen bonding interaction (O…H-N: 1.89 Å, 145.024°) with the amino hydrogen atom ofASP594. This might explain the advantage of introducing a hydroxyl on ortho-position. The mentioned π–cation interaction was formed by the same benzene ring (ring B) and LYS483 (distance: 5.86 Å). The π–π interactions were all formed with the new added benzene ring (ring C) on one end. The other ends were PHE583 (distance: 4.54 Å) and TRP531 (distance: 5.20 Å and 6.20 Å), respectively. The π–π interaction with PHE583 was exactly accordant with the previous work ofB-Raf inhibitors by our group [19], [25] as well as by others [15], [24]. As for compound C18 (2-C), the extruding effect of bulky bromo on ring B might disturb the formation ofhydrogen bond. This might weaken the activity. As for compound C5 (2-D), the binding pattern was similar with that ofcompound C6. The binding situations were mainly evaluated by the interactions energy. The docking calculation of all the compounds was depicted in Table 3. The CDocker Interaction Energy (interaction energy between the ligand and the receptor) agreed with the B-Raf inhibitory trend for all the synthesized compounds (linear regression: R square = 0.552, a normal level).
Table 3
The docking calculation of the synthesized compounds (C1–C24) and comparisons.
compounds
-CDOCKER INTERACTION ENERGYΔGb (kcal/mol)
compounds
-CDOCKER INTERACTION ENERGYΔGb (kcal/mol)
C1
37.0472
C13
43.1905
C2
46.3620
C14
43.5959
C3
45.9333
C15
44.5970
C4
44.3320
C16
43.1568
C5
46.3577
C17
46.1456
C6
48.6398
C18
47.1071
C7
43.2819
C19
43.5431
C8
43.2392
C20
43.6496
C9
44.4838
C21
42.9416
C10
42.8661
C22
41.3252
C11
44.9522
C23
45.0561
C12
46.3800
C24
45.1426
C0A
48.0998
C0B
47.4951
The receptor surface model was shown in Figure 4, which revealed that the molecules were well embedded in the active pocket including VAL471, PHE583, ALA481, THR529, LEU514 and ASN581. This active pocket was occupied by compound C6, being similar as that of our previous work [19].
Figure 4
The receptor surface model with C6 in 3PSD.
4. 3D QSAR Model
We built a new 3D QSAR model using data of this series to check the previous one as well as to bring in the influence ofhydroxyl. Using the same method as our previous work, 19 we utilized the Create 3D QSAR protocol of Discovery Studio 3.1 to perform the 3D QSAR of all twenty-four compounds based on the definite IC50 values. The values were changed into p IC50 scale (−log IC50) by convention. The training set and test set were chosen by the Diverse Molecules method in Discovery Studio 3.1. The alignment conformation of each molecule with lowest energy in the docked results ofCDOCKER protocol was chosen to ensure a good alignment. The substructure 4,5-dihydro-1H-pyrazole was applied before building the QSAR model. The maps of 3D QSAR model were shown in Figure 5.
Figure 5
3D-QSAR of 2-(1,3-diaryl- 4,5-dihydro-1H-pyrazol-5-yl)phenol.
Red contours mean high electron density is expected to increase activity while blue contours mean low electron density is better. Green areas mean steric bulk is better while yellow areas mean small groups are helpful.
3D-QSAR of 2-(1,3-diaryl- 4,5-dihydro-1H-pyrazol-5-yl)phenol.
Red contours mean high electron density is expected to increase activity while blue contours mean low electron density is better. Green areas mean steric bulk is better while yellow areas mean small groups are helpful.With the correlation coefficient r2 between observed activity of testing set and training set found to be 0.765, the QSAR model was proved acceptable. In Figure 5, the molecules aligned with the iso-surfaces of the model coefficients on electrostatic potential grids (Figure 4-A) and Van der Waals grids (Figure 4-B) were listed. Electrostatic map indicated regions where high electron density increase (red) or decrease (blue) activity while steric map indicated areas where steric bulk increase (green) or decrease (yellow) activity. According to the maps, the new added ring C (although a simple benzene ring without substitutes) enhanced the activity because slightly larger group was better there in spite of the electron situation. Meanwhile, on ring B, although bringing in the hydroxyl was helpful, the external situation indicated that a small and high negative charged group might be better. These points were accordant with our previous model. Finally, as for ring A, slightly larger substitutes would bring higher activity. A lower negative charged one was appreciated on the para-direction while a higher negative charged one was recommended on the meta-direction. Probably the introduction of multi-substitutes on ring A made this point a little different from our previous paper. Being in line with the previous model and the tested inhibitory activity, the 3D QSAR model provided us cogent foundation and new ideas about further design and modification.
Conclusions
To sum up, a series ofcompounds (C1–C24) 2-(1,3-diaryl- 4,5-dihydro-1H-pyrazol-5-yl)phenol have been synthesized. Their B-Raf inhibitory and anti-proliferation activities were evaluated. Compound C6 displayed the most potent biological activity against B-RafV600E and WM266.4humanmelanomacell line with corresponding IC50 value of 0.15 µM and GI50 value of 1.75 µM, being comparable with the positive controls and more potent than our previous best compounds C0A and C0B. The docking simulation was performed to get the probable binding models and poses. The results indicated that compound C6 could bind well into the active site ofB-Raf. A new 3D QSAR model was built with the activity data and binding conformations to check the previous work as well as to introduce new directions. The introduction ofortho-hydroxyl on 4,5-dihydro-1H-pyrazole skeleton did reinforce the anti-tumor activity while enlarging the group on N-1 ofpyrazoline was also helpful.
Methods
1.1 General
All chemicals used were purchased from Aldrich (USA). The eluates were monitored using TLC. Melting points (uncorrected) were determined on a XT4MP apparatus (Taike Corp., Beijing, China). ESI mass spectra were obtained on a Mariner System 5304 mass spectrometer, and 1HNMR spectra were recorded on a DPX300 spectrometer at 25°C with TMS and solvent signals allotted as internal standards, Chemical shifts are reported in ppm (δ). Elemental analyses were performed on a CHN-O-Rapid instrument and were within 0.4% of the theoretical values. TLC was run on the silica gelcoated aluminum sheets (Silica Gel 60 Å GF254, E. Merk, Germany) and visualized in UV light (254nm).
WM266.4melanomacells [22] were cultured in DMEM/10% fetal bovine serum, in 5% CO2water saturated atmosphere at 37°C. Cell suspensions (10000/mL) were prepared and 100 µL/well dispensed into 96-well plates (Costar) giving 1000 cells/well. The plates were returned to the incubator for 24h to allow the cells to reattach. These compounds were initially prepared at 20mM in DMSO. Aliquots (200 µL) were diluted into 20mL culture medium giving 200 µM, and 10 serial dilutions of 3x prepared. Aliquots (100 µL) of each dilution were added to the wells, giving doses ranging from 100 µM to 0.005 µM. After a further incubated at 37°Cfor 24h in a humidified atmosphere with 5% CO2, the cell viability was assessed by the conventional 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) reduction assay and carried out strictly according to the manufacturer instructions (Sigma). The absorbance at 590nm was recorded using LX300 Epson Diagnostic micro-plate reader. Then GI50 was calculated using SPSS 13.0 software.
2.2 Kinase inhibitory assay
ThisV600E mutant B-Raf kinase assay was performed in triplicate for each tested compound in this study. Briefly, 7.5 ng MouseFull-Length GST-tagged BRAFV600E (Invitrogen, PV3849) was preincubated at room temperature for 1 h with 1 µL drug and 4 µL assay dilution buffer. The kinase assay was initiated when 5 µL of a solution containing 200 ng recombinant humanfull length, N-terminal His-tagged MEK1 (Invitrogen), 200 µM ATP, and 30 mM MgCl2 in assay dilution buffer was added. The kinase reaction was allowed to continue at room temperature for 25 min and was then quenched with 5 µL 5x protein denaturing buffer (LDS) solution. Protein was further denatured by heating for 5 min at 70°C. 10 µL of each reaction was loaded into a 15-well, 4–12% precast NuPage gel (Invitrogen) and run at 200 V, and upon completion, the front, which contained excess hot ATP, was cut from the gel and discarded. The gel was then dried and developed onto a phosphor screen. A reaction that contained no active enzyme was used as a negative control, and a reaction without inhibitor was used as the positive control.Detection of the effect ofcompounds on cell based pERK1/2 activity in WM266.4cells was performed using ELISA kits (Invitrogen) and strictly according to the manufacturer instructions.
3. Experimental Protocol of Docking Study
The three-dimensional structures of the aforementioned compounds were constructed using Chem. 3D ultra 12.0 software [Chemical Structure Drawing Standard; Cambridge Soft corporation, USA (2010)], then they were energetically minimized by using MMFF94 with 5000 iterations and minimum RMS gradient of 0.10. The crystal structures ofB-Raf kinase domain bound to SB-590885 (PDB code: 2FB8) and bound to SM7 (PDB code: 3PSD) complex were retrieved from the RCSB Protein Data Bank (http://www.rcsb.org/pdb/home/home.do). All bound waters and ligands were eliminated from the protein and the polar hydrogen was added to the proteins. Molecular docking of all twenty-four compounds as well as C0A and C0B was then carried out using the Discovery Stutio (version 3.1) as implemented through the graphical user interface CDocker protocal.CDOCKER is an implementation of a CHARMm based molecular docking tool using a half-flexible receptor [26], including the following steps:A series of ligands conformations are generated using high temperature molecular dynamics with different random seeds.Random orientations of the conformations are generated by translating the center of the ligand to a specified position within the receptor active site, and making a series of random rotations. A softened energy is calculated and the orientation is kept when it is less than a specified limit. This process repeats until either the desired number of low-energy orientations is obtained, or the test times of bad orientations reached the maximum number.Each orientation is subjected to simulated annealing molecular dynamics. The temperature is heated up to a high temperature then cooled to the target temperature. A final energy minimization of the ligand in the rigid receptor using non-softened potential is performed.For each of the final pose, the CHARMm energy (interaction energy plus ligand strain) and the interaction energy alone are figured out. The poses are sorted according to CHARMm energy and the top scoring (most negative, thus favorable to binding) poses are retained. The whole B-Raf kinase domain defined as a receptor and the site sphere was selected based on the original ligand binding location, then the original ligand was removed and the ligands prepared by us were placed during the molecular docking procedure. CHARMm was selected as the force field. The molecular docking was performed with a simulated annealing method. The heating steps were 2000 with 700 of heating target temperature. The cooling steps were 5000 with 300 cooling target temperature. Ten molecular docking poses saved for each ligand were ranked according to their dock score function. The pose with the highest -CDOCKER energy was chosen as the most suitable pose.
4. Experimental Protocol of QSAR Model
Among all the 24 compounds, 87.5% (that is 21) were utilized as a training set for QSAR modeling. The remaining 12.5% (that is 3) were chosen as an external test subset for validating the reliability of the QSAR model by the Diverse Molecules protocol in Discovery Studio 3.1. The selected test compounds were: C5, C8, C15.The inhibitory activity of the compounds in literatures [IC50 (mol/L)] was initially changed into the minus logarithmic scale [p IC50 (mol/L)] and then used for subsequent QSAR analysis as the response variable.In Discovery Studio, the CHARMm force field is applied and the electrostatic potential together with the Van der Waals potential are treated as separate terms. As the electrostatic potential probe, A+le point change is used while distance-dependent dielectricconstant is used to mimic the solvent effect. As for the Van der Waals potential, a carbon atom with a radius of 1.73 Å is used as a probe.A Partial Least-Squares (PLS) model is built using energy grids as descriptors. QSAR models were built by using the Create 3D QSAR Model protocol in Discovery Studio 3.1.
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Authors: Helen Davies; Graham R Bignell; Charles Cox; Philip Stephens; Sarah Edkins; Sheila Clegg; Jon Teague; Hayley Woffendin; Mathew J Garnett; William Bottomley; Neil Davis; Ed Dicks; Rebecca Ewing; Yvonne Floyd; Kristian Gray; Sarah Hall; Rachel Hawes; Jaime Hughes; Vivian Kosmidou; Andrew Menzies; Catherine Mould; Adrian Parker; Claire Stevens; Stephen Watt; Steven Hooper; Rebecca Wilson; Hiran Jayatilake; Barry A Gusterson; Colin Cooper; Janet Shipley; Darren Hargrave; Katherine Pritchard-Jones; Norman Maitland; Georgia Chenevix-Trench; Gregory J Riggins; Darell D Bigner; Giuseppe Palmieri; Antonio Cossu; Adrienne Flanagan; Andrew Nicholson; Judy W C Ho; Suet Y Leung; Siu T Yuen; Barbara L Weber; Hilliard F Seigler; Timothy L Darrow; Hugh Paterson; Richard Marais; Christopher J Marshall; Richard Wooster; Michael R Stratton; P Andrew Futreal Journal: Nature Date: 2002-06-09 Impact factor: 49.962