Literature DB >> 28746366

Synthesis, fungicidal evaluation and 3D-QSAR studies of novel 1,3,4-thiadiazole xylofuranose derivatives.

Guanghui Zong1, Xiaojing Yan2, Jiawei Bi1, Rui Jiang1, Yinan Qin1, Huizhu Yuan2, Huizhe Lu1, Yanhong Dong1, Shuhui Jin1, Jianjun Zhang1.   

Abstract

1,3,4-Thiadiazole and sugar-derived molecules have proven to be promising agrochemicals with growth promoting, insecticidal and fungicidal activities. In the research field of agricultural fungicide, applying union of active group we synthesized a new set of 1,3,4-thiadiazole xylofuranose derivatives and all of the compounds were characterized by 1H NMR and HRMS. In precise toxicity measurement, some of compounds exhibited more potent fungicidal activities than the most widely used commercial fungicide Chlorothalonil, promoting further research and development. Based on our experimental data, 3D-QSAR (three-dimensional quantitative structure-activity relationship) was established and investigated using comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) techniques, helping to better understand the structural requirements of lead compounds with high fungicidal activity and environmental compatibility.

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Year:  2017        PMID: 28746366      PMCID: PMC5528880          DOI: 10.1371/journal.pone.0181646

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

1,3,4-Thiadiazole is a privileged five-membered heterocyclic scaffold with interesting properties, incorporation which often improves the desirable properties of the active molecules in medicinal chemistry. [1-6] Besides being used as drugs, 1,3,4-thiadiazole and their derivatives have also been widely applied as agrochemicals with a broad spectra of bioactivities, [7-13] among which their fungicidal activity particularly attracted our attention as part of the comprehensive project for developing agricultural fungicides in our group. [14-17] Sugar-derived molecules participate in various vital processes, exhibiting crucial physiological and biological activities, especially in specific molecular recognition. Many natural products composed of carbohydrate moieties show great bioactivities, which make them widely used as drugs and pesticides. [18, 19] Besides the bioactivities, carbohydrates have also been widely used to modify small biomolecules to tune their physical properties, such as water solubility and pK values to increase the bioactivities and/or decrease toxicities. [20] With the idea of utilising the unique bioactivities of sugar-derived molecules, we have reported a hybrid of D-xylofuranose and 1,3,4-thiadiazole with promising fungicidal properties and found that the lipophilicity of these compounds is one of the key parameters for their fungicidal activities (Fig 1A). [17] As a continuation in our endeavour of searching for more effective fungicidal agents, we have designed a new series of structures (Fig 1B) containing 1,2-O-isopropylidene to retain the lipophilicity, and replaced the 3-O-moieties with simple ethers. Twenty-two new xylofuranose-1,3,4-thiadiazole derivatives were synthesized and bioassayed. Furthermore, we have studied the COMFA and CoMSIA models through researching structure-activity relationship, which may be used in designing and predicting the fungicidal activity of novel molecules.
Fig 1

Design strategy for target compounds.

Results and discussion

Synthesis

Synthesis of the title compounds was achieved by coupling 3-O-substituted furanosyl aldehydes (f and g) and substituted thiosemicarbazides (h) in refluxing CH2Cl2, followed by oxidative cyclization over MnO2 with an overall yield of 68%–91% over two steps (Fig 2). The proton (on chiral carbons) assignments for title compounds were done with the aid of 2D NMRs, including COSY, HSQC and HMBC NMRs. The typical COSY and HMBC correlations in a representative compound l8 are illustrated in Fig 3. The two key intermediates, i.e., aldehydes (f and g) and thiosemicarbazides (h), were obtained from commercially available D-glucose and substituted arylamines as starting materials following the literature reported procedure. [21-23]
Fig 2

Synthesis of the title compounds k/l.

Fig 3

Key COSY (bold) and HMBC (arrows) correlations in l8.

Preliminary measurement of fungicidal activity

In vitro fungicidal activities of title compounds k/l against six fungal species (S. Sclerotiorum, P. CapasiciLeonian, B. Cinerea, R. Solani, P. Oryae and P. asparagi) were first tested at a concentration of 50 μg/mL (see S1 Table). The bioassay results showed that the title compounds exhibited significant fungicidal activities against the six tested species, especially against Sclerotinia sclerotiorum.Thirteen out of the twenty-two tested compoundsshowed 90% or more inhibition against S. sclerotiorum at this concentration. However, the number of the tested title compounds with an inhibition rate over 90% against P. CapasiciLeonian, Botrytis cinerea, Rhizoctonia solani, Pyricularia oryae and Phomopsis asparagi was 5, 6, 0, 4 and 4, respectively. Compounds k1, k5, k6, k8, l5, l6 and l8 are the most broad-spectrum boasting inhibitition rates over 90% for at least three tested fungi.

Precise toxicity measurement of fungicidal activity

Since most of the title compounds exhibited excellent fungicidal activity against S. sclerotiorum, precise bioassay against this fungi was carried out. As shown in Table 1, more than half of the title compounds (13/22) showed promising fungicidal activity against S. Sclerotiorum with EC50 values lower than 3 μg/mL. Particularly, compounds k1, k8, l1 and l5 (the EC50 values of which are 0.52, 0.43, 0.46 and 0.57 μg/mL, respectively) showed comparable fungicidal activity with the commercial fungicide chlorothalonil (EC50 = 0.59 μg/mL).
Table 1

EC50 and EC90 values of target compounds against S. sclerotiorum.

Compd.toxic regression equationEC50EC90correlation coefficient R
k1Y = 5.24+0.85x0.5216.780.9377
k2Y = 5.08+0.62x0.7586.270.9266
k3Y = 4.24+0.87x7.51221.000.9772
k4Y = 3.48+1.44x11.4289.250.9654
k5Y = 4.87+1.17x1.2916.040.9798
k6Y = 4.06+1.48x4.3432.030.9471
k7Y = 5.00+0.93x0.9923.500.9691
k8Y = 5.36+1.00x0.438.400.9673
k9Y = 3.71+1.23x11.07121.160.9347
k10Y = 3.26+1.86x8.5541.710.9332
k11Y = 4.73+0.73x2.35135.000.9488
l1Y = 5.26+0.79x0.4619.420.8998
l2Y = 4.85+1.04x1.3923.990.9375
l3Y = 4.19+1.18x4.8358.360.9979
l4Y = 4.56+1.18x2.3528.960.9506
l5Y = 5.24+0.99x0.5711.250.9729
l6Y = 4.56+1.34x2.1219.150.9719
l7Y = 3.83+1.73x4.7826.370.9955
l8Y = 5.21+1.14x0.668.730.9993
l9Y = 3.08+1.79x11.6960.510.9573
l10Y = 3.63+1.86x5.4326.550.9996
l11Y = 4.72+1.00x1.9236.400.9723
ChlorothalonilY = 5.19+0.84x0.5919.560.9784
Prediction of the LogP rate of target compound and toxicity is presented in Supporting Information (S3 Table).

CoMFA and CoMSIA model

In the target molecules, there are two variable groups which are substituent R1 on the sugar ring and R2 on the benzene ring. Comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) were applied to research the relationship of substituents and inhibitory activity. The result of molecular superimposition is shown in Fig 4.
Fig 4

Image of superimposed structures.

As shown in Table 2, all selected compounds in the training set were aligned with each other based on the template k8. The CoMFA model exhibited contribution of steric (59.5%) and electrostatic (40.5%) fields. The cross-validation coefficient was given with 0.639 in the obtained CoMFA model, which was greater than 0.5 and indicated a good significance. An optimum number of components of 5 and a non-cross-validated r2ncv of 0.949 were observed with this model. The high F value (67.036) suggests that the model is meaningful.
Table 2

COMFA and COMSIA analysis results*.

ParameterCOMFACOMSIAModel1COMSIAModel2COMSIAModel3COMSIAModel4
q20.6390.5280.5080.4860.495
r20.9680.9640.9620.9130.945
SE0.1100.1160.1200.1740.144
F67.03659.37155.51331.58737.969
Components relative field contributions(%)55545
S59.511.911.5--
E40.535.333.340.248.8
H-37.035.544.351.2
D-15.914.615.5-
A--5.1--

*Model 1: S+E+H+D; Model 2: S+E+H+D+A; Model 3: E+H+D; Model 4: E+H.

Training set: k1, k3, k4, k5, k6, k8, k9, k10, l1, l2, l3, l5, l6, l7, l8, l10, l11.

Test set: k2, k7, k11, l4, l9.

*Model 1: S+E+H+D; Model 2: S+E+H+D+A; Model 3: E+H+D; Model 4: E+H. Training set: k1, k3, k4, k5, k6, k8, k9, k10, l1, l2, l3, l5, l6, l7, l8, l10, l11. Test set: k2, k7, k11, l4, l9. To investigate the significance of hydrophobic and H-bond fields on the activities, CoMSIA analysis was performed using steric, electrostatic, hydrophobic, and H bond donor and acceptor descriptors. Considering the combination of all the fields, the results are displayed in Table 2. As shown in the table, the combination of steric field, electrostatic field, hydrophobic field, and hydrogen bond acceptor field was proven to be the best model with r2cv 0.528 at five components, r2ncv 0.964. The graph depicting the calculated vs observed activities of training and test set molecules are shown in Figs 5 and 6, respectively. The correlation coefficient of 0.96818 and 0.96428 for CoMFA and CoMSIA model, respectively, further supported the significance of the selected models.
Fig 5

The correlation between the experimental values and predicted of COMFA (training set ■, test set ▲).

Fig 6

The correlation between the experimental values and predicted of COMSIA (training set ■, test set ▲).

The Coefficient of cross validation q2 of COMFA and COMSIA models are greater than 0.5, so the established 3D-QSAR model has good prediction ability. Table 3 shows the relationship of the predicted values and experimental values.
Table 3

The experimental value, forecast and difference of CoMFA and CoMSIA models.

Compd.Experimental values of p(EC50)CoMFACoMSIA Model 1
predicted valuesD-valuepredicted valuesD-value
k16.2846.240.0446.301-0.017
k26.12496.12506.1250
k35.12445.1110.0135.192-0.068
k44.94234.9220.025.079-0.137
k55.88945.80.0895.8270.062
k65.36255.449-0.0875.429-0.067
k76.00446.00406.0040
k86.36656.39-0.0236.3590.007
k94.95595.143-0.1875.046-0.09
k105.0684.9560.1124.90.168
k115.62895.998-0.3695.998-0.369
l16.33726.1440.1936.3180.019
l25.8575.906-0.0495.6790.178
l35.31615.2390.0775.2740.042
l45.62895.62905.6290
l56.24416.36-0.1156.331-0.087
l65.67375.6250.0495.5490.124
l75.32065.359-0.0385.2780.042
l86.18056.207-0.0276.19-0.01
l94.93224.93204.9320
l105.26525.283-0.0185.412-0.147
l115.71675.769-0.0535.738-0.021

3D-QSAR contour maps

The steric and electrostatic contour maps of the COMFA and COMSIA models are shown in Fig 7a and 7b. Compound k8 was used as the reference structure. Sterically favored areas (contribution level 80%) were represented by green polyhedral while sterically disfavored areas (contribution level 20%) were represented by yellow polyhedral. Furthermore, the blue and red contours (80 and 20% contributions) depicted the positions where positively charged groups and negatively charged groups would be favorable, respectively. The sterically favored green contour could be found around R2 which indicated that increasing bulky groups at R2 position were advantageous for activity while R1 remained the same, e.g., EC50(k1) > EC50(l1), EC50(k3) > EC50(l3), EC50(k4) > EC50(l4), EC50(k5) > EC50(l5), EC50(k6) > EC50(l6), EC50(k10) > EC50(l10), EC50(k11) > EC50(l11). A large yellow region overlapping R2, which was coincident with our CoMFA result, verified that a smaller R2 group was an essential factor for activity. For k2 and l4, the presence of a methyl group on the benzene ring of R2 decreased p(EC50) from 6.12 to 4.94. In Fig 7b, the blue polyhedral covering the meta-position of benzene ring indicated that the presence of electron-rich groups could not enhance the biological activity.
Fig 7

Contour plots (a) CoMSIA Steric. (b) CoMFA Electrostatic. (c) CoMSIA Steric. (d) CoMSIA Electrostatic. (e) CoMSIA Hydrophobic. (f) CoMSIA Hydrogen bond receptor. Compound k8 in cap and stick is shown.

Contour plots (a) CoMSIA Steric. (b) CoMFA Electrostatic. (c) CoMSIA Steric. (d) CoMSIA Electrostatic. (e) CoMSIA Hydrophobic. (f) CoMSIA Hydrogen bond receptor. Compound k8 in cap and stick is shown. The COMSIA model contour maps, derived using steric, electrostatic, hydrophobic and hydrogen bond acceptor fields, are shown in Fig 7c–7f. Compound k8 was used as the reference molecule. Fig 7c and 7d, which were more or less similar to Fig 7a and 7b, represented steric and electrostatic contour maps, respectively. In Fig 7e the yellow contours represented regions where hydrophobic substituents would increase the activity, while the white contours represented regions where the hydrophobic group would be unfavorable. The ortho-position of R2 was covered by a white region. Take compounds k6/l6 as an example. A Cl atom is in the area. Because of the good hydrophilicity of Cl, the activity was increased. There was a yellow region at the meta-position of R2. Take compounds k7/l7 and k9/l9 as an example. It was clear that compounds with naphthyl (k7/l7) showed higher activity than compounds with less hydrophobic benzene ring (k9/l9). In Fig 7d, the magenta and red contours depicted the position where hydrophobic groups would be favorable or unfavorable, respectively. From the Fig 7f, we can conclude that if hydrogen bond acceptors was added at the ortho-position of benzene ring, the activity will improve. To identify the putative targets, the structure information of the title compounds has been submited to Pharm Mapper Server [http://lilab.ecust.edu.cn/pharmmapper/index.php] [24, 25] and the resulting targets prediction of the 22 compounds and the highest fit score are shown in Table 4. In addition, the targets prediction and the normalized fit score are shown in Table 5. According to the normalized fit score, the Carbonic anhydrase 2(PDB ID: 1ZGF) is the most suitable target for our compounds. The feature number and the target prediction are shown in supporting information (S4 Table).
Table 4

The target name, the PDB ID and fit score of 22 compounds.

Compd.PDB IDTarget NameFit Score
k12CEKAcetylcholinesterase6.575
k21TCXGag-Pol polyprotein7.332
k31LWLCamphor 5-monooxygenase6.511
k41LN3Phosphatidylcholine transfer protein7.411
k52R43Gag-Pol polyprotein7.044
k61LN3Phosphatidylcholine transfer protein7.143
k73FNHEnoyl-[acyl-carrier-protein] reductase [NADH]6.916
k83DCTBile acid receptor7.8
k91LWLCamphor 5-monooxygenase6.477
k101LN3Phosphatidylcholine transfer protein7.093
k113DCTBile acid receptor7.8
l11TCXGag-Pol polyprotein7.371
l23DCUBile acid receptor7.298
l31MEUGag-Pol polyprotein7.384
l41LN3Phosphatidylcholine transfer protein7.518
l52CEKAcetylcholinesterase7.24
l61MEUGag-Pol polyprotein7.835
l71TCXGag-Pol polyprotein7.511
l82CEKAcetylcholinesterase7.208
l91MEUGag-Pol polyprotein6.798
l101G2NNONE7.338
l111G2NNONE8.602
Table 5

The target name, the PDB ID and normalized fit score of 22 compounds.

Compd.PDB IDTarget NameNormalized Fit Score
k11ZGFCarbonic anhydrase 20.79
k21ZGFCarbonic anhydrase 20.856
k31ZGFCarbonic anhydrase 20.7274
k41ZGFCarbonic anhydrase 20.8581
k51ZGFCarbonic anhydrase 20.8229
k61G48Carbonic anhydrase 20.8733
k71IF8Carbonic anhydrase 20.8492
k81F4FThymidylate synthase0.7001
k91ZGFCarbonic anhydrase 20.7231
k101ZGFCarbonic anhydrase 20.8161
k111F4FThymidylate synthase0.7001
l11BN4Carbonic anhydrase 20.8544
l21ZGFCarbonic anhydrase 20.8562
l31I8ZCarbonic anhydrase 20.8473
l41ZGFCarbonic anhydrase 20.8551
l51ZGFCarbonic anhydrase 20.8229
l61G48Carbonic anhydrase 20.877
l71IF8Carbonic anhydrase 20.8658
l81BN4Carbonic anhydrase 20.8351
l91ZGFCarbonic anhydrase 20.7259
l101ZGFCarbonic anhydrase 20.8185
l111G48Carbonic anhydrase 20.8677
Compared to our previous study, [17] twenty-two new 1,3,4-thiadiazole xylofuranose derivatives with different moiety on C-3 of sugar ring were synthesized and bioassayed in the present work. Based on the structure and fungicidal activity results, 3D-QSAR was established and investigated using CoMFA and CoMSIA. The established models will facilitate the development of more potent pesticide molecules.

Methods and materials

General methods

All starting materials and reagents were commercially available and used without further purification except as indicated. 1H-NMR (300 MHz) and 13C-NMR (75 MHz) spectra were recorded in CDCl3 or DMSO-d6 with a Bruker DPX300 spectrometer, using TMS as internal standard; Mass spectra were obtained with Agilent 1100 series LC/MSD mass spectrometer. High-resolution mass spectra (HRMS) was performed by Peking University. Melting points were measured on a Yanagimoto melting-point apparatus and are uncorrected. Chemical synthesis. General procedure for the syntheses of substituted aldehydes f and g. [22] Compound a (26 g, 0.10 mol) was dissolved in anhydrous acetone (150mL) containing potassium hydroxide (7.4 g, 0.13 mol) and tetrabutyl ammonium bromide (1.2 g, 3.7mmol), then iodomethane (7.6 mL, 0.15 mol) was added dropwise to the solution over 30 min at –10°C. The temperature was slowly raised to r.t. and the mixture was stirred for another 1 h; TLC (PE–EtOAc, 3:1) indicated completion. The solution was concentrated and then the mixture was diluted with CH2Cl2 (100 mL), washed with water (3 ×100 mL), and dried (Na2SO4). The solution was concentrated and the crude product b/c could be directly used for the next step without further separation and purification. Compound b/c (0.1 mol) was dissolved in 70% AcOH (200 mL) and stirred for 1.5 h at 75°C; TLC (PE–EtOAc, 2:1) indicated completion. The mixture was concentrated under reduced pressure and then co-evaporated with toluene (3 × 100 mL). The crude product d/e was obtained and could be directly used for the next step without further separation and purification. To a stirred solution of SiO2-NaIO4-H2O (100g) in CH2Cl2 (200 mL) was added Compound d/e (0.1 mol) in CH2Cl2 over 30 min at r.t. The mixture was stirred for another 1 h; TLC (PE–EtOAc, 3:1) indicated completion. The mixture was filtered and the the solution was concentrated, and purification of the residue by column chromatography (silica gel, PE–EtOAc, 4:1) gave g/f as a white solid in 87% overall yields. General procedure for the syntheses of oxidation system SiO2-NaIO4-H2O. To a 70°C solution of NaIO4 (25.7 g, 0.12 mol) in deionized water (100 mL) was added 200-300 mesh silica gel (100g) in several portions, and the system was stirred for 0.5 h. The oxidation system SiO2-NaIO4-H2O was obtained and could be used for the reactions directly. General procedure for the synthesis of intermediate compounds i/j. A solution of aldehyde f/g (5.5 mmol) and thiosemicarbazide h (5 mmol) in CH2Cl2 (100 mL) was heated to reflux for 6 h, at the end of which time TLC (eluent: 2:1 petroleum ether-EtOAc) indicated that the reaction was complete. The solvent was evaporated under diminished pressure at 40°C to give a white solid, and the crude product was used for next step directly without purification. General procedure for the synthesis of title compounds k/l. To a stirred solution of compound i/j (5.0 mmol) in CHCl3 (80 mL) was added MnO2 (10 g). The mixture was stirred for a further 1 h, at the end of which time TLC (eluent: 2:1 petroleum ether-EtOAc) indicated that the reaction was complete. After filtration, the filtrate was evaporated under reduced pressure to give a crude product, which was purified on silica gel column chromatography with 4:1 petroleum ether-EtOAc as the eluent to give the compounds k/l. 2-(4-Bromophenylamino)-5-(2R,3S-O-isopropylidene-4S-O-methyl-tetrahydrofuro-2,3,4-triol-5S)-1,3,4-thiadiazol (k1) Yield: 89%. White solid, mp 217.8-218.3°C. 1H-NMR (CDCl3):δ 10.49 (s, 1H, NH), 7.50-7.47 (m, 2H, ArH), 7.37–7.34 (m, 2H, ArH), 6.01 (d, J = 3.7 Hz, 1H,H-1), 5.61 (d, J = 3.1 Hz, 1H, H-4), 4.71 (d, J = 3.7 Hz, 1H, H-2), 3.96 (d, J = 3.1 Hz, 1H, H-3), 3.33 (s, 3H, OCH3), 1.58, 1.35 (2s, 6H, Me2C). ESI-MS m/z for C16H18BrN3O4S [M-H] Found: 425.9. HRMS calcd. for C16H18BrN3O4S [M+H]+ 428.02742. Found: 428.02686 2-(4-Tolylamino)-5-(2R,3S-O-isopropylidene-4S-O-methyl-tetrahydrofuro-2,3,4-triol-5S)-1,3,4-thiadiazole (k2) Yield: 75%. Pale yellow solid, mp 172.8-173.7°C. 1H-NMR (CDCl3):δ 10.05(s, 1H, NH), 7.33-7.16 (m, 4H, ArH), 6.00 (d, J = 3.7 Hz, 1H, H-1), 5.60 (d, J = 3.2 Hz, 1H, H-4), 4.69 (d, J = 3.7 Hz, 1H, H-2), 3.96 (d, J = 3.1 Hz, 1H, H-3), 3.30 (s, 3H, OCH3), 2.33(s, 3H, Ar-CH3), 1.57, 1.36 (2s, 6H, Me2C). ESI-MS m/z for C17H21N3O4S [M+H]+ Found: 364.0. HRMS calcd. for C17H21N3O4S [M+H]+ 364.13255. Found: 364.13193 2-(4-Methoxyphenylamino)-5-(2R,3S-O-isopropylidene-4S-O-methyl-tetrahydrofuro-2,3,4-triol-5S)-1,3,4-thiadiazole (k3) Yield: 79%. White solid, mp 211.3-211.7°C. 1H-NMR (CDCl3):δ 10.15 (s, 1H, NH), 7.35 (d, J = 8.9 Hz, 2H, ArH), 6.91 (d, J = 8.9 Hz, 2H, ArH), 5.99 (d, J = 3.7 Hz, 1H, H-1), 5.59 (d, J = 3.1 Hz, 1H, H-4), 4.68 (d, J = 3.7 Hz, 1H, H-2), 3.95 (d, J = 3.1 Hz,1H, H-3), 3.81 (s, 3H, Ar-OCH3), 3.31 (s, 3H, OCH3), 1.56, 1.36 (2s, 6H, Me2C). ESI-MS m/z for C17H21N3O5S [M+Na]+ Found: 402.1. HRMS calcd. for C17H21N3O5S [M+H]+ 380.12747. Found: 380.12708 2-(2,4-Dimethylphenylamino)-5-(2R,3S-O-isopropylidene-4S-O-methyl-tetrahydrofuro-2,3,4-triol-5S)-1,3,4-thiadiazole (k4) Yield: 81%. Pale yellow solid, mp 107.7-107.9°C.1H-NMR (CDCl3):δ 7.32 (d, J = 8.0 Hz, 1H, ArH), 7.06–7.01 (m, 2H, ArH), 5.95 (d, J = 3.7 Hz, 1H, H-1), 5.52 (d, J = 3.1 Hz, 1H, H-4), 4.81 (s, 1H, NH), 4.65 (d, J = 3.7 Hz, 1H, H-2), 3.92 (d, J = 3.1 Hz, 1H, H-3), 3.29 (s, 3H, OCH3), 2.32 (2s, 6H, Ar-OCH3), 1.54, 1.34 (2s, 6H, Me2C). ESI-MS m/z for C18H23N3O4S [M+H]+ Found: 378.1. HRMS calcd. for C18H23N3O4S [M+H]+ 378.14820. Found: 378.14798 2-(3,4-Dichlorophenylamino)-5-(2R,3S-O-isopropylidene-4S-O-methyl-tetrahydrofuro-2,3,4-triol-5S)-1,3,4-thiadiazole (k5) Yield: 78%. White solid, mp 191.1-192.1°C.1H-NMR (CDCl3):δ 11.05 (s, 1H, NH), 7.59 (d, J = 2.6 Hz, 1H, ArH), 7.42 (d, J = 8.7 Hz, 1H, ArH), 7.33 (dd, J = 8.8, 2.7 Hz, 1H, ArH), 6.03 (d, J = 3.6 Hz, 1H, H-1), 5.63 (d, J = 3.1 Hz, 1H, H-4), 4.72 (d, J = 3.6 Hz, 1H, H-2), 4.00 (d, J = 3.2 Hz, 1H, H-3), 3.34 (s, 3H, OCH3), 1.59, 1.38 (2s, 6H, Me2C). ESI-MS m/z for C16H17Cl2N3O4S [M+H]+ Found: 418.0. HRMS calcd. for C16H17Cl2N3O4S [M+H]+ 418.03896. Found: 418.03897 2-(2,5-Dichlorophenylamino)-5-(2R,3S-O-isopropylidene-4S-O-methyl-tetrahydrofuro-2,3,4-triol-5S)-1,3,4-thiadiazole (k6) Yield: 91%. White solid, mp 113.2-113.4°C.1H-NMR (CDCl3):δ 8.21 (d, J = 2.3 Hz, 1H, ArH), 7.30 (d, J = 8.5 Hz, 1H, ArH), 7.17 (s, 1H, NH), 6.98 (dd, J = 8.5, 2.4 Hz, 1H, ArH), 6.01 (d, J = 3.6 Hz, 1H, H-1), 5.60 (d, J = 3.2 Hz, 1H, H-4), 4.71 (d, J = 3.6 Hz, 1H, H-2), 3.99 (d, J = 3.2 Hz, 1H, H-3), 3.32 (s, 3H, OCH3), 1.55, 1.36 (2s, 6H, Me2C). ESI-MS m/z for C16H17Cl2N3O4S [M+Na]+ Found: 440.0. HRMS calcd. for C16H17Cl2N3O4S [M+H]+ 418.03896. Found: 418.03854 2-(Naphthalen-1-ylamino)-5-(2R,3S-O-isopropylidene-4S-O-methyl-tetrahydrofuro-2,3,4-triol-5S)-1,3,4-thiadiazole (k7) Yield: 73%. Pale yellow solid, mp 91.0-91.8°C.1H-NMR (DMSO-d6):δ 11.18 (br-s, 1H, NH), 8.24 (m, 1H, ArH), 8.11 (d, J = 7.5 Hz, 1H, ArH), 7.95 (m, 1H, ArH), 7.71 (d, J = 8.2 Hz, 1H, ArH), 7.61-7.50 (m, 3H, ArH), 5.96 (d, J = 3.7 Hz, 1H, H-1), 5.35 (d, J = 3.1 Hz, 1H, H-4), 4.82 (d, J = 3.7 Hz, 1H, H-2), 3.98 (d, J = 3.1 Hz, 1H, H-3), 3.29 (s, 3H, OCH3), 1.48, 1.30 (2s, 6H, Me2C). ESI-MS m/z for C20H21N3O4S [M-H] Found: 398.1. HRMS calcd. for C20H21N3O4S [M+H]+ 400.13255. Found: 400.13208 2-(4-Chloro-3-(trifluoromethyl)phenylamino)-5-(2R,3S-O-isopropylidene-4S-O-methyl-tetrahydrofuro-2,3,4-triol-5S)-1,3,4-thiadiazole (k8) Yield: 84%. White solid, mp 140.2-140.5°C.1H-NMR (CDCl3):δ 11.18 (s, 1H, NH), 7.85 (d, J = 2.8 Hz, 1H, ArH), 7.61 (dd, J = 8.7, 2.7 Hz, 1H, ArH), 7.50 (d, J = 8.7 Hz, 1H, ArH), 6.04 (d, J = 3.6Hz, 1H, H-1), 5.63 (d, J = 3.2 Hz, 1H, H-4), 4.73 (d, J = 3.7 Hz, 1H, H-2), 4.01 (d, J = 3.1 Hz, 1H, H-3), 3.34 (s, 3H, OCH3), 1.59, 1.39 (2s, 6H, Me2C). ESI-MS m/z for C17H17ClF3N3O4S [M-H] Found: 449.9. HRMS calcd. for C17H17ClF3N3O4S [M+H]+ 452.06532. Found: 452.06512 2-(Phenylamino)-5-(2R,3S-O-isopropylidene-4S-O-methyl-tetrahydrofuro-2,3,4-triol-5S)-1,3,4-thiadiazole (k9) Yield: 85%. White solid, mp 174.4-174.8°C.1H-NMR (CDCl3):δ 10.43 (s, 1H, NH), 7.45–7.35 (m, 4H, ArH), 7.07 (m, 1H, ArH), 6.01 (d, J = 3.6 Hz, 1H, H-1), 5.63 (d, J = 3.1 Hz, 1H, H-4), 4.71 (d, J = 3.7 Hz, 1H, H-2), 3.98 (d, J = 3.1 Hz, 1H, H-3), 3.32 (s, 3H, OCH3), 1.58, 1.36 (2s, 6H, Me2C). ESI-MS m/z for C16H19N3O4S [M+Na]+ Found: 372.0. HRMS calcd. for C16H19N3O4S [M+H]+ 350.11690. Found: 350.11682 2-(4-Chloro-2-(trifluoromethyl)phenylamino)-5-(2R,3S-O-isopropylidene-4S-O-methyl-tetrahydrofuro-2,3,4-triol-5S)-1,3,4-thiadiazole (k10) Yield: 79%. White solid, mp 188.6-189.2°C.1H-NMR (CDCl3):δ 7.98 (d, J = 8.8 Hz, 1H, ArH), 7.62 (d, J = 2.3 Hz, 1H, ArH), 7.53 (dd, J = 8.7, 2.3 Hz, 1H, ArH), 6.21 (s, 1H, NH), 5.99 (d, J = 3.6 Hz, 1H, H-1), 5.57 (d, J = 3.1 Hz, 1H, H-4), 4.69 (d, J = 3.6 Hz, 1H, H-2), 3.98 (d, J = 3.1 Hz, 1H, H-3), 3.32 (s, 3H, OCH3), 1.55, 1.34 (2s, 6H, Me2C). ESI-MS m/z for C17H17ClF3N3O4S [M+H]+ Found: 452.0. HRMS calcd. for C17H17ClF3N3O4S [M+H]+ 452.06532. Found: 452.06454 2-(2,5-(ditrifluoromethyl)phenylamino)-5-(2R,3S-O-isopropylidene-4S-O-methyl-tetrahydrofuro-2,3,4-triol-5S)-1,3,4-thiadiazole (k11) Yield: 87%. White solid, mp 120.1-121.0°C.1H-NMR (CDCl3):δ 8.44 (s, 1H, ArH), 7.77 (m, 1H, ArH), 7.52 (br-s, 1H, NH), 7.43 (m, 1H, ArH), 6.00 (d, J = 3.6 Hz, 1H, H-1), 5.60 (d, J = 3.2 Hz, 1H, H-4), 4.71 (d, J = 3.6 Hz, 1H, H-2), 4.00 (d, J = 3.2 Hz, 1H, H-3), 3.34 (s, 3H, OCH3), 1.56, 1.37 (2s, 6H, Me2C). ESI-MS m/z for C18H17F6N3O4S [M+Na]+ Found: 508.1. HRMS calcd. for C18H17F6N3O4S [M+H]+ 486.09167. Found: 486.09021 2-(4-Bromophenylamino)-5-(2R,3S-O-isopropylidene-4S-O-ethyl-tetrahydrofuro-2,3,4-triol-5S)-1,3,4-thiadiazol (l1) Yield: 86%. White solid, mp 213.5-214°C.1H-NMR (DMSO-d6):δ 10.52 (s, 1H, NH), 7.63–7.60 (m, 2H, ArH), 7.54–7.50 (m, 2H, ArH), 5.98 (d, J = 3.7 Hz, 1H, H-1), 5.35 (d, J = 3.0 Hz, 1H, H-4), 4.78 (d, J = 3.7 Hz, 1H, H-2), 4.06 (d, J = 3.0 Hz, 1H, H-3), 3.65, 3.36 (2m, 2H, CH3CH2), 1.48, 1.31 (2s, 6H, Me2C), 1.11 (t, J = 6.9 Hz, 3H, CH3CH2). ESI-MS m/z for C17H20BrN3O4S [M+Na]+ Found: 464.0. HRMS calcd. for C17H20BrN3O4S [M+H]+ 442.04307. Found: 442.04236 2-(4-Tolylamino)-5-(2R,3S-O-isopropylidene-4S-O-ethyl-tetrahydrofuro-2,3,4-triol-5S)-1,3,4-thiadiazole (l2) Yield: 82%. White solid, mp 189.4-193.7°C.1H-NMR (CDCl3):δ 9.91 (s, 1H, NH), 7.32–7.29 (m, 2H, ArH), 7.17 (m, 2H, ArH), 6.01 (d, J = 3.6 Hz, 1H, H-1), 5.60 (d, J = 3.1 Hz, 1H, H-4), 4.66 (d, J = 3.7 Hz, 1H, H-2), 4.05 (d, J = 3.1 Hz, 1H, H-3), 3.59, 3.34 (2m, 2H, CH3CH2), 2.33 (s, 3H, Ar-CH3), 1.57, 1.36 (2s, 6H, Me2C), 1.10 (t, J = 7.0 Hz, 3H, CH3CH2). ESI-MS m/z for C18H23N3O4S [M+H]+ Found: 378.1. HRMS calcd. for C18H23N3O4S [M+H]+ 378.14820. Found: 378.14789 2-(4-Methoxyphenylamino)-5-(2R,3S-O-isopropylidene-4S-O-ethyl-tetrahydrofuro-2,3,4-triol-5S)-1,3,4-thiadiazole (l3) Yield: 68%. Pale yellow solid, mp 163.1-165.4°C.1H-NMR (CDCl3):δ 9.81 (s, 1H, NH), 7.36–7.32 (m, 2H, ArH), 6.94-6.90 (m, 2H, ArH), 6.00 (d, J = 3.6 Hz, 1H, H-1), 5.58 (d, J = 3.1 Hz, 1H, H-4), 4.65 (d, J = 3.7 Hz, 1H, H-2), 4.03 (d, J = 3.0 Hz, 1H, H-3), 3.81 (s, 3H, CH3O), 3.57, 3.35 (2m, 2H, CH3CH2), 1.56, 1.35 (2s, 6H, Me2C), 1.10 (t, J = 7.0 Hz, 3H, CH3CH2). ESI-MS m/z for C18H23N3O5S [M+H]+ Found: 394.1. HRMS calcd. for C18H23N3O5S [M+H]+ 394.14312. Found: 394.14233 2-(2,4-Dimethylphenylamino)-5-(2R,3S-O-isopropylidene-4S-O-ethyl-tetrahydrofuro-2,3,4-triol-5S)-1,3,4-thiadiazole (l4) Yield: 77%. White solid, mp 134.7-135.5°C.1H-NMR (CDCl3):δ 8.21 (s, 1H, NH), 7.32 (d, J = 8.0 Hz, 1H, ArH), 7.06–7.00 (m, 2H, ArH), 5.96 (d, J = 3.6 Hz, 1H, H-1), 5.53 (d, J = 3.1 Hz, 1H, H-4), 4.63 (d, J = 3.7 Hz, 1H, H-2), 4.01 (d, J = 3.1 Hz, 1H, H-3), 3.55, 3.33 (2m, 2H, CH3CH2), 2.32 (s, 6H, Ar-CH3), 1.54, 1.34 (2s, 6H, Me2C), 1.08 (t, J = 7.0 Hz, 3H, CH3CH2). ESI-MS m/z for C19H25N3O4S [M+Na]+ Found: 414.1. HRMS calcd. for C19H25N3O4S [M+H]+ 392.16385. Found: 392.16321 2-(3,4-Dichlorophenylamino)-5-(2R,3S-O-isopropylidene-4S-O-ethyl-tetrahydrofuro-2,3,4-triol-5S)-1,3,4-thiadiazole (l5) Yield: 80%. White solid, mp 191.5-191.7°C.1H-NMR (CDCl3):δ 10.25 (s, 1H, NH), 7.60 (d, J = 2.6 Hz, 1H, ArH), 7.46–7.30 (m, 2H, ArH), 6.04 (d, J = 3.6 Hz, 1H, H-1), 5.61 (d, J = 3.1 Hz, 1H, H-4), 4.69 (d, J = 3.6 Hz, 1H, H-2), 4.08 (d, J = 3.1 Hz, 1H, H-3), 3.62, 3.39 (2m, 2H, CH3CH2), 1.58, 1.37 (2s, 6H, Me2C), 1.13 (t, J = 7.0 Hz, 3H, CH3CH2). ESI-MS m/z for C17H19Cl2N3O4S [M+H]+ Found: 432.0. HRMS calcd. for C17H19Cl2N3O4S [M+H]+ 432.05461. Found: 432.05469 2-(2,5-Dichlorophenylamino)-5-(2R,3S-O-isopropylidene-4S-O-ethyl-tetrahydrofuro-2,3,4-triol-5S)-1,3,4-thiadiazole (l6) Yield: 82%. White solid, mp 124.9-125.3°C.1H-NMR (CDCl3):δ 8.23 (d, J = 2.3 Hz, 1H, ArH), 7.69 (s, 1H, NH), 7.30 (m, 1H, ArH),6.98 (dd, J = 8.5, 2.4 Hz, 1H, ArH), 6.04 (d, J = 3.6 Hz, 1H, H-1), 5.61 (d, J = 3.1 Hz, 1H, H-4), 4.69 (d, J = 3.6 Hz, 1H, H-2), 4.09 (d, J = 3.1 Hz, 1H, H-3), 3.65-3.32 (2 m, 2 H, CH3CH2), 1.57, 1.37 (2 s, 6 H, Me2C), 1.12 (t, J = 7.0 Hz, 3H, CH3CH2). ESI-MS m/z for C17H19Cl2N3O4S [M+H]+ Found: 432.0. HRMS calcd. for C17H19Cl2N3O4S [M+H]+ 432.05461. Found: 432.05414 2-(Naphthalen-1-ylamino)-5-(2R,3S-O-isopropylidene-4S-O-ethyl-tetrahydrofuro-2,3,4-triol-5S)-1,3,4-thiadiazole (l7) Yield: 74%. Pale yellow solid, mp 53.9-55.5°C.1H-NMR (DMSO-d6):δ 10.26 (br-s, 1H, NH), 8.23 (m, 1H, ArH), 8.12 (d, J = 7.1 Hz, 1H, ArH), 7.96 (m, 1H, ArH), 7.70 (d, J = 8.2 Hz, 1H, ArH), 7.60–7.50 (m, 3H, ArH), 5.96 (d, J = 3.7 Hz, 1H, H-1), 5.34 (d, J = 3.0 Hz, 1H, H-4), 4.77 (d, J = 3.7 Hz, 1H, H-2), 4.06 (d, J = 3.0 Hz, 1H, H-3), 3.64, 3.36 (2m, 2H, CH3CH2), 1.48, 1.30 (2s, 6H, Me2C), 1.06 (t, J = 7.0 Hz, 3H, CH3CH2). ESI-MS m/z for C21H23N3O4S [M-H] Found: 412.0. HRMS calcd. for C21H23N3O4S [M+H]+ 414.14820. Found: 414.14752 2-(4-Chloro-3-(trifluoromethyl)phenylamino)-5-(2R,3S-O-isopropylidene-4S-O-ethyl-tetrahydrofuro-2,3,4-triol-5S)-1,3,4-thiadiazole (l8) Yield: 90%. White solid, mp 153.8-154.3°C.1H-NMR (CDCl3):δ 10.65 (br-s, 1H, NH), 7.84 (d, J = 2.6 Hz, 1H, ArH), 7.62 (dd, J = 8.7, 2.6 Hz, 1H, ArH), 7.50 (m, 1H, ArH), 6.04 (d, J = 3.6 Hz, 1H, H-1), 5.61 (d, J = 3.1 Hz, 1H, H-4), 4.70 (d, J = 3.6 Hz, 1H, H-2), 4.08 (d, J = 3.1 Hz, 1H, H-3), 3.64, 3.39 (2m, 2H, CH3CH2), 1.59, 1.38 (2s, 6H, Me2C), 1.13 (t, J = 7.0 Hz, 3H, CH3CH2). ESI-MS m/z for C18H19ClF3N3O4S [M-H] Found: 464.0. HRMS calcd. for C18H19ClF3N3O4S [M+H]+ 466.08097. Found: 466.08093 2-(Phenylamino)-5-(2R,3S-O-isopropylidene-4S-O-allyl-tetrahydrofuro-2,3,4-triol-5S)-1,3,4-thiadiazole (l9) Yield: 88%. White solid, mp 176.1-177.5°C.1H-NMR (CDCl3):δ 10.41 (s, 1H, NH), 7.41 (m, 4H, ArH), 7.09 (t, J = 7.1 Hz, 1H, ArH), 6.03 (d, J = 3.6 Hz, 1H, H-1), 5.64 (d, J = 3.1 Hz, 1H, H-4), 4.68 (d, J = 3.6 Hz, 1H, H-2), 4.07 (d, J = 3.0 Hz, 1H, H-3), 3.60, 3.35 (2m, 2H, CH3CH2), 1.58, 1.37 (2s, 6H, Me2C), 1.11 (t, J = 7.0 Hz, 3H, CH3CH2). ESI-MS m/z for C17H21N3O4S [M+H]+ Found: 364.1. HRMS calcd. for C17H21N3O4S [M+H]+ 364.13255. Found: 364.13220 2-(4-Chloro-2-(trifluoromethyl)phenylamino)-5-(2R,3S-O-isopropylidene-4S-O-ethyl-tetrahydrofuro-2,3,4-triol-5S)-1,3,4-thiadiazole (l10) Yield: 86%. White solid, mp 65.7-67.0°C.1H-NMR (CDCl3):δ 7.95 (d, J = 8.8 Hz, 1H, ArH), 7.63 (d, J = 2.4 Hz, 1H, ArH), 7.53 (dd, J = 8.6, 2.3 Hz, 1H, ArH), 5.99 (d, J = 3.6 Hz, 1H, H-1), 5.81 (s, 1H, NH), 5.57 (d, J = 3.1 Hz, 1H, H-4), 4.66 (d, J = 3.6 Hz, 1H, H-2), 4.06 (d, J = 3.1 Hz, 1H, H-3), 3.59, 3.36 (2m, 2H, CH3CH2), 1.55, 1.35 (2s, 6H, Me2C), 1.09 (t, J = 7.0 Hz, 3H, CH3CH2). ESI-MS m/z for C18H19ClF3N3O4S [M+Na]+ Found: 488.0. HRMS calcd. for C18H19ClF3N3O4S [M+H]+ 466.08097. Found: 466.07993 2-(2,5-(ditrifluoromethyl)phenylamino)-5-(2R,3S-O-isopropylidene-4S-O-ethyl-tetrahydrofuro-2,3,4-triol-5S)-1,3,4-thiadiazole (l11) Yield: 84%. White solid, mp 121.2-122.4°C.1H-NMR (CDCl3):δ 8.36 (s, 1H, NH), 7.78 (d, J = 8.0 Hz, 2H, ArH), 7.44 (d, J = 8.2 Hz, 1H, ArH), 6.02 (d, J = 3.6 Hz, 1H, H-1), 5.59 (d, J = 3.1 Hz, 1H, H-4), 4.68 (d, J = 3.6 Hz, 1H, H-2), 4.08 (d, J = 3.1 Hz, 1H, H-3), 3.62, 3.38 (2m, 2H, CH3CH2), 1.56, 1.37 (2s, 6H, Me2C), 1.12 (t, J = 7.0 Hz, 3H, CH3CH2). ESI-MS m/z for C19H19F6N3O4S [M+H]+ Found: 500.1. HRMS calcd. for C19H19F6N3O4S [M+H]+ 500.10732. Found: 500.10635

Fungicidal assays

Each of the test compounds were dissolved in DMSO. Fungicidal activities of compounds k, and l against Sclerotinia sclerotiorum, P. CapasiciLeonian, Botrytis cinerea, Rhizoctonia solani, Pyricularia oryae and Phomopsis asparagi were evaluated using the mycelium growth rate test. Inhibition rates of compounds k and l against Sclerotinia sclerotiorum, P. CapasiciLeonian, Botrytis cinerea, Rhizoctonia solani, Pyricularia oryae and Phomopsis asparagi at 50 μg/mL were determined first and the results are shown in SI. Then EC50 values were estimated using logit analysis. The commercial fungicide chlorothalonil was used as a control in the above bioassay. All computational studies were performed using SYBYL-X2.0 software. The compounds were built from fragments in the SYBYL database. Each structure was fully geometry-optimized by MINIMIZE module using the standard MMFF94 force field with a distance-dependent dielectric function and a 0.21 kJ/mol•nm energy gradient convergence criterion 1000 times. After optimization, considering all the carbon, nitrogen, sulfur atoms and oxygen atoms, superimposition of the molecules was carried out by Alignment Database module, using the most active compound k8 as a template molecule for aligning the other analogues. For each of the alignments, calculation of CoMFA steric and electrostatic fields were separately carried out at each lattice intersection on a regularly spaced grid of 1 nm x 1 nm x 1 nm units in X, Y, and Z directions. The van der Waals potential and columbic terms, which represent the steric and electrostatic terms, respectively, were calculated using the standard Tripos force field. A distance dependent dielectric constant of 1.00 was used. An sp3 carbon atom with a van der Waals radius of 1.52 Å and +1.0 charge was selected as the probe to compute the steric and electrostatic fields. Values of the steric and electrostatic energy were truncated at 30 kcal/mol. The electrostatic contributions were ignored at the lattice intersection with maximal steric interactions. CoMSIA calculates similarity indices at the intersections of a surrounding lattice. The similarity indices descriptors were derived with the same lattice box used in CoMFA. The five CoMSIA fields available within SYBYL (steric, electrostatic, hydrophobic, hydrogen bond donor and acceptor) were calculated at the grid lattice point using a probe atom of 1 Å radius as well as the charge, hydrophobic and hydrogen bond properties of H.

Conclusion

In this study, twenty two xylofuranose modified 1,3,4-thiadiazole derivatives were designed and synthesized. Some of the title compounds exhibited excellent antifungal activities against Sclerotinia sclerotiorum, among which, compounds k1, k8, l1 and l5 showed even better fungicidal activities than the commercial fungicide Chlorothalonil. Based on the COMFA and CoMSIA models, we provided a way to enhance the antifungal activity by changing the hydrophilicity, electrostatic property and volume of the substituents. Our suggested requirements of the molecular structures identified through 3D-QSAR are consistent with the experimental results, which can help in designing more active fungicides.

Fungicidal activity of target compounds against six fungus species.

(DOCX) Click here for additional data file.

HRMS spectral data of the target compounds.

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Predictive toxicity and log P values of the target compounds.

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The target name, the PDB ID and feature number of 22 compounds.

(DOCX) Click here for additional data file.

NMR and HRMS spectra of the target compounds.

(DOC) Click here for additional data file.
  16 in total

1.  Synthesis of 2-amino-5-sulfanyl-1,3,4-thiadiazole derivatives and evaluation of their antidepressant and anxiolytic activity.

Authors:  F Clerici; D Pocar; M Guido; A Loche; V Perlini; M Brufani
Journal:  J Med Chem       Date:  2001-03-15       Impact factor: 7.446

2.  Discovery of 3-hydroxy-4-carboxyalkylamidino-5-arylamino-isothiazoles as potent MEK1 inhibitors.

Authors:  Chamakura V N S Varaprasad; Dinesh Barawkar; Hassan El Abdellaoui; Subrata Chakravarty; Matthew Allan; Huanming Chen; Weijian Zhang; Jim Z Wu; Robert Tam; Robert Hamatake; Stanley Lang; Zhi Hong
Journal:  Bioorg Med Chem Lett       Date:  2006-05-24       Impact factor: 2.823

Review 3.  Natural products that have been used commercially as crop protection agents.

Authors:  Leonard G Copping; Stephen O Duke
Journal:  Pest Manag Sci       Date:  2007-06       Impact factor: 4.845

Review 4.  1,3,4-Thiadiazole: synthesis, reactions, and applications in medicinal, agricultural, and materials chemistry.

Authors:  Yang Hu; Cui-Yun Li; Xiao-Ming Wang; Yong-Hua Yang; Hai-Liang Zhu
Journal:  Chem Rev       Date:  2014-04-09       Impact factor: 60.622

5.  Enhancing the Enrichment of Pharmacophore-Based Target Prediction for the Polypharmacological Profiles of Drugs.

Authors:  Xia Wang; Chenxu Pan; Jiayu Gong; Xiaofeng Liu; Honglin Li
Journal:  J Chem Inf Model       Date:  2016-05-31       Impact factor: 4.956

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