• Title/Summary/Keyword: CoMFA & CoMSIA

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3D-QSAR and Molecular Docking Studies on Benzotriazoles as Antiproliferative Agents and Histone Deacetylase Inhibitors

  • Li, Xiaolin;Fu, Jie;Shi, Wei;Luo, Yin;Zhang, Xiaowei;Zhu, Hailiang;Yu, Hongxia
    • Bulletin of the Korean Chemical Society
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    • v.34 no.8
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    • pp.2387-2393
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    • 2013
  • Benzotriazole is an important synthetic auxiliary for potential clinical applications. A series of benzotriazoles as potential antiproliferative agents by inhibiting histone deacetylase (HDAC) were recently reported. Three-dimensional quantitative structure-activity relationship (3D-QSAR), including comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA), were performed to elucidate the 3D structural features required for the antiproliferative activity. The results of both ligand-based CoMFA model ($q^2=0.647$, $r^2=0.968$, ${r^2}_{pred}=0.687$) and CoMSIA model ($q^2=0.685$, $r^2=0.928$, ${r^2}_{pred}=0.555$) demonstrated the highly statistical significance and good predictive ability. The results generated from CoMFA and CoMSIA provided important information about the structural characteristics influence inhibitory potency. In addition, docking analysis was applied to clarify the binding modes between the ligands and the receptor HDAC. The information obtained from this study could provide some instructions for the further development of potent antiproliferative agents and HDAC inhibitors.

Minimum Structural Requirements for Fungicidal Evaluation of N-Phenyl-O-phenylthionocarbamates against the Capsicum Phytophthora Blight (Phyophthora capsici) Based on the 3D-QSARs

  • Soung, Min-Gyu;Jang, Seok-Chan;Sung, Nack-Do
    • Bulletin of the Korean Chemical Society
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    • v.31 no.11
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    • pp.3297-3300
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    • 2010
  • In this study, the 3D-QSARs (three-dimensional quantitative structure-activity relationships: CoMFA and CoMSIA) between structural changes of N-phenyl-O-phenylthionocarbamate analogues (1-30) and their fungicidal activities against the capsicum phytophthora (Phyophthora capsici) fungi were analyzed, then considered quantitatively in terms of minimum structural requirements for fungicidal evaluation. The statistical qualities ($r^2_{cv.}$ = 0.510 and $r^2_{ncv.}$ = 0.948) of the optimal CoMFA 1 model are improved over the other models in the conditions of field combinations, and the two alignments. In the optimal CoMFA 1 model, relative contribution percentages of the CoMFA field were: steric field, 52.3%; electrostatic field, 37.8%; hydrophobic field, 9.9%. Results were similar for the CoMFA 2 model. Therefore, the steric field of the analogues had the highest contribution ratio for fungicidal activity. Specifically, with the contour map of steric fields, the fungicidal activity increased when bulky steric Y-substituents were introduced to the meta-position on the N-phenyl ring and small steric Y-subsituents were introduced to its para-position.

The 3-D QSAR study of antitumor arylsulfonylimidazolidinone derivatives by CoMFA and COMSIA

  • ParkChoo, Hea-Young;Choi, Su-Young;Jung, Sang-Hun
    • Proceedings of the PSK Conference
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    • 2002.10a
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    • pp.357.1-357.1
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    • 2002
  • Three-dimensional quantitative activity relationship (3D-QSAR) study for a series of arylsulfonylimidazolidinone derivatives with antitumor activity was conducted using comparative molecular field analysis (CoMFA) and comparative molecular similarity indices anaysis (CoMSIA). The in vitro cytotoxicity against human lung carcinoma (A549) exhibited a strong correlation with steric and electrostatic factors of the molecules. (omitted)

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3D-QSAR Analysis on Antidepressant Activity of Tricyclic Isoxazole Analogues against Medetomidine-induced Loss of Righting (Medetomidine에 유발된 정좌반사소실에 대한 Tricyclic Isoxazole 유도체들의 항우울성에 관한 3D-QSAR 분석)

  • Choi, Min-Sung;Sung, Nack-Do;Myung, Pyung-Keun
    • YAKHAK HOEJI
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    • v.55 no.2
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    • pp.98-105
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    • 2011
  • To search the minimum structural requirement of tricyclic isoxazole analogues (1~30) as new class potent antidepressant, thee-dimensional quanti- tative-structure relationship (3D-QSAR) models between substituents ($R_1{\sim}R_5$) of tricyclic isoxazoles and their antidepressant activity against medetomidine-induced loss of righting were performed and discussed quantitatively using comparative molecular field analysis (CoMFA) and comparative molecular similarity indies analysis (CoMSIA) methods. The correlativity and predictability ($r^2$=0.484 and $q^2$=0.947) of CoMSIA-2 model were higher than those of the rest models. The inhibitory activity against medetomidine-induced loss of righting was dependent on electrostatic field (43.4%), hydrophobic field (35.3%), and steric field (21.2%) of tricyclic isoxazoles. From the CoMSIA-2 contour maps, it is predicted that the antidepressant activity of potent antidepressants against medetomidine-induced loss of righting will be able to increase by the substituents ($R_1{\sim}R_5$) which were in accord with CoMSIA field.

3D-QSAR Analysis of Antidepressant, Tricyclic Isoxazole Analogues against para-Chloroamphetamine-induced Excitation (para-Chloroamphetamine에 유도된 흥분작용에 대한 항우울 약물 Tricyclic Isoxazole 유도체들의 3D-QSAR 분석)

  • Choi, Min-Sung;Sung, Nack-Do;Myung, Pyung-Keun
    • YAKHAK HOEJI
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    • v.55 no.2
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    • pp.91-97
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    • 2011
  • To search a new anti-depressant agents against para-chloroamphetamine-induced excitation, three dimensional quantitative-structure relationships (3D-QSAR) models between structure of 3a,4-dihydro-3H-[1]-benzopyronao[4,3]isoxazoles (1-30) and thieir inhibitory activity against para-chloroamphetamine-induced excitation were performed and discussed quantitatively using comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) methods. From these basis on the findings, the optimized CoMSIA-2F model ($q^2$=0.793 and $r^2$=0.952) showed the best statistical results. And also, it is found that the para-chloroamphetamine inhibitory activity from the optimized CoMSIA-2F model was dependent on steric field (35.2%) and electrostatic field (64.8%) of tricyclic isoxazoles. Particularly, it is predicted that the inhibitory activity against para-chloroamphetamine-induced excitation will be able to increase by the designed compounds from the CoMSIA-2F model.

The 3D-QSAR Studies on the Indolinones Derivatives of PTKIs: CoMFA& CoMSIA

  • Kwack, In-Young;Kim, Chan-Kyung;Hyun, Kwan-Hoon;Lee, Bon-Su;Park, Hyung-Yeon
    • Proceedings of the PSK Conference
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    • 2003.10b
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    • pp.186.3-186.3
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    • 2003
  • The three-dimensional quantitative structure-activity relationship (3D-QSAR) study using the comparative molecular field analysis (CoMFA) was performed on indolinones derivatives as an inhibitor of the protein tyrosine kinase of fibroblast growth factor receptor (FGFR). In the training set, twenty-four indolinone derivatives were aligned based on the indole fragment and the steric and electrostatic fields were included in the analysis. The best predicted model showed the cross-validated coefficient (r$^2$$\sub$cv/) of 0.804 and bib-cross validated coefficient (r$^2$) of 0.942. The CoMFA study can be used to predict several new inhibitors of the FGFR.

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Characterization of Binding Mode for Human Coagulation Factor XI (FXI) Inhibitors

  • Cho, Jae Eun;Kim, Jun Tae;Jung, Seo Hee;Kang, Nam Sook
    • Bulletin of the Korean Chemical Society
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    • v.34 no.4
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    • pp.1212-1220
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    • 2013
  • The human coagulation factor XI (FXI) is a serine protease that plays a significant role in blocking of the blood coagulation cascade as an attractive antithrombotic target. Selective inhibition of FXIa (an activated form of factor XI) disrupts the intrinsic coagulation pathway without affecting the extrinsic pathway or other coagulation factors such as FXa, FIIa, FVIIa. Furthermore, targeting the FXIa might significantly reduce the bleeding side effects and improve the safety index. This paper reports on a docking-based three dimensional quantitative structure activity relationship (3D-QSAR) study of the potent FXIa inhibitors, the chloro-phenyl tetrazole scaffold series, using comparative molecular field analysis (CoMFA) and comparative molecular similarity analysis (CoMSIA) methods. Due to the characterization of FXIa binding site, we classified the alignment of the known FXIa inhibitors into two groups according to the docked pose: S1-S2-S4 and S1-S1'-S2'. Consequently, highly predictive 3D-QSAR models of our result will provide insight for designing new potent FXIa inhibitors.

3D-QSAR Analysis on the Antitrypanosomal Activity of Phenoxy, Phenylthio or Benzyloxy Group Substituted Quinolone Analogues (Phenoxy, Phenylthio 및 Benzyloxy-기가 치환된 Quinolone 유도체들의 항트리파노소마 활성에 대한 3D-QSAR 분석)

  • Myung, Pyung-Keun;Kang, Na-Na;Kim, Sang-Jin;Sung, Nack-Do
    • YAKHAK HOEJI
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    • v.54 no.4
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    • pp.288-294
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    • 2010
  • Three dimensional quantitative-structure relationships (3D-QSARs) models between structures of phenoxy, phenylthio or benzyloxy substituted quinolone analogues and their antitrypanosomal activity against Chagas disease (Trypanosoma cruzi) were derived and discussed quantitatively using comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) methods. The optimized CoMFA 1 model ($q^2$=0.528 and $r^2$=0.964) showed the best statistical results. According to the optimized CoMFA 1 model, the antitrypanosomal activities were dependent on the steric (60.0%) and electrostatic (36.2%) factors of quinolone derivatives. From the contour maps, it is predicted that the activity will be increased when sterically favored groups were located in $R_4$ and $R_5$ position and sterically disfavored groups were located in $R_2$ position. Also, the positively charged groups on $R_2$ would be able to increase the antitrypanosomal activities.

3D-QSAR Analyses on the Inhibition Activity of 4-Hydroxybenzyl alcohol Analogues Against Tyrosinase (4-Hydroxybenzyl alcohol 유도체들의 Tyrosinase 활성 저해에 대한 3D-QSAR 분석)

  • Kim, Sang Jin;Sung, Nack Do
    • Journal of the Society of Cosmetic Scientists of Korea
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    • v.39 no.4
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    • pp.329-335
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    • 2013
  • Three-dimensional quantitative structure-activity relationships (3D-QSARs) models between the substituents with changing groups ($R_1$ & $R_2$) of 4-hydroxybenzyl alcohol (4-HBA) derivatives as substrate molecule and their inhibitory activities against tyrosinase were derived and discussed quantitatively. The optimized CoMSIA FF model showed the best predictability and fitness ($r^2$ = 0.858 & $q^2$ = 0.951). The contour maps of the optimized CoMSIA FF model showed that, the inhibitory activities of the analogues against tyrosinase were expected to increase when hydrophobic (Hy) favor, negative charge (E) favor, steric (S) disfavor and hydrogen bond donor (HD) disfavor groups were substituted at the $R_2$ position. When the hydrogen bond donor (HD) favor groups were substituted at the $R_1$ position, it is predicted that the substituents will be able to increase the inhibitory activity.

The Search of Pig Pheromonal Odorants for Biostimulation Control System Technologies: Prediction of Pig Pheromonal Tetrahydrofuran-2-yl Family Compounds by Means of Ligand Based Approach (생물학적 자극 통제 수단으로 활용하기 위한 돼지 페로몬성 냄새 물질의 탐색: Ligand Based Approach에 의한 돼지 페로몬성 Tetrahydrofuran-2-yl 계 화합물의 예측)

  • Soung, Min-Gyu;Cho, Yun-Gi;Park, Chang-Sik;Sung, Nack-Do
    • Reproductive and Developmental Biology
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    • v.32 no.3
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    • pp.141-146
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    • 2008
  • To search a new porcine pheromonal odorant, the models of four type (2D-QSAR, HQSAR, CoMFA & CoMSlA) were derived from quantitative structure-activity relationship (QSAR) between tetrahydrofuran-2-yl family compounds and their observed binding affinity constants (Obs.p$[Od]_{50}$). The optimized CoMFA model (predictability; $r^{2}_{cv.}(q^2)$=0.886 & correlation coefficient: $r^{2}_{ncv.}$=0.984) from ligand based approaches was confirmed as the best model among them. The $N^{1}$-allyl-$N^{2}$-(tetrahydrofuran-2-yl)methyl)oxalamide (P1), 2-(4-trimethylammoniummethylcyclohexyloxy)tetrahydrofurane (P5) and 2-(3-trimethylammoniummethylcyclohexyloxy)tetrahydrofurane (P6) molecules predicted as porcine pheromonal odorant by the CoMFA model were showed relatively high binding affinity constant values (Pred.p$[Od]_{50}=8{\sim}10$) and very lower toxicity values against some sorts of toxicity.