• Title/Summary/Keyword: 3D QSAR

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Synthesis and 3D-QSAR of p-Hydroxybenzohydrazide Derivatives With Antimicrobial Activity Against Multidrug-Resistant Staphylococcus aureus (다중의약품에 저항하는 Staphylococcus aureus 균에 항균성을 가지는 파라-히드록시벤조히드라자이드 유도체의 합성과 구조-활성관계 3차원 정량분석)

  • Bhole, Ritesh P.;Bhusari, Kishore P.
    • Journal of the Korean Chemical Society
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    • v.54 no.1
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    • pp.77-87
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    • 2010
  • Hospital-acquired methicillin-resistant Staphylococcus aureus (MRSA) has been an increasing problem worldwide since the initial reports over 40 years ago. To examine new drug leads with potential antibacterial activities, Various N'-[(-3-substituted-4-oxo-1,3-thiazolidin-2-ylidene]-4-hydroxy benzohydrazide (4a-4.i) and N'-[-(3,4-disubstituted)-1,3-thiazolidin-2ylidene)]-4-hydroxybenzohydrazide from (5.a-5.i) to (10.a-10.i) were synthesized using appropriate synthetic route. The entire test compounds (4.a-4.i) and from (5.a-5.i) to (10.a-10.i) were assayed in vitro against s. aureus strain. The minimum inhibitory concentration (MIC) was determined for test compounds and for reference standards. The test compounds showed significant antibacterial activity against the strains used, when tested in vitro. In general, p-hydroxybenzohydrazide ring and substituted thiazoline ring are essential for antimicrobial activity. Among the compounds tested, compounds 6.f, 7.g, 9.f and 10.f, 10 i were found to be most potent. The test compounds were found nontoxic upto the dose level of 2000 ${\mu}g$/mL. The intact compounds were then subjected for 3D-QSAR studies. 3D-QSAR study based on the principal of alignment of pharmacophoric features by Schrodinger PHASE module. The 3D-QSAR study allowed us to confirm the preferential binding mode of p-hydroxybenzohydrazide inside the active site.

Hypothetical Drug Binding Receptor Site Analysis Using CoMFA Method for 3-Arylisoquinolines Active against SK-OV-3 Tumor Cell Line (CoMFA법을 이용한 3-아릴이소퀴놀린 화합물들의 SK-OV-3 암세포에 대한 가상의 약물 작용 수용체 해석)

  • 김의기;민선영;정병호;천승훈;최보길;조원제
    • YAKHAK HOEJI
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    • v.46 no.4
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    • pp.219-225
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    • 2002
  • We have performed a 3D-QSAR/CoMFA analysis of the cytotoxic activities of thirty-five 3-arylisoquinoline derivatives against SK-OV-3 tumor cell line. The results suggested that the electrostatic, steric and hydrophobic factors of 3-arylisoquinolines were strongly correlated with the antitumor activity. Considerable predictive ability (cross-validated r2 as high as 0.841) was obtained through CoMFA.

Comparative Molecular Field Analysis of Pyrrolopyrimidines as LRRK2 Kinase Inhibitors

  • Balupuri, Anand;Balasubramanian, Pavithra K.;Cho, Seung Joo
    • Journal of Integrative Natural Science
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    • v.9 no.1
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    • pp.1-9
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    • 2016
  • Leucine rich repeat kinase 2 (LRRK2) is a highly promising target for Parkinson's disease (PD) that affects millions of people worldwide. A three-dimensional quantitative structure-activity relationship (3D-QSAR) analysis was performed on a series of pyrrolopyrimidine-based selective LRRK2 kinase inhibitors. This study was performed to rationalize the structural requirements responsible for the inhibitory activity of these compounds. A reliable 3D-QSAR model was developed using comparative molecular field analysis (CoMFA) technique. The model produced statistically acceptable results with a cross-validated correlation coefficient ($q^2$) of 0.539 and a non-cross-validated correlation coefficient ($r^2$) of 0.871. Robustness of the model was further evaluated by bootstrapping and progressive scrambling analysis. This work could assist in designing more potent LRRK2 inhibitors.

Hologram and Receptor-Guided 3D QSAR Analysis of Anilinobipyridine JNK3 Inhibitors

  • Chung, Jae-Yoon;Cho, Art-E;Hah, Jung-Mi
    • Bulletin of the Korean Chemical Society
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    • v.30 no.11
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    • pp.2739-2748
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    • 2009
  • Hologram and three dimensional quantitative structure activity relationship (3D QSAR) studies for a series of anilinobipyridine JNK3 inhibitors were performed using various alignment-based comparative molecular field analysis (COMFA) and comparative molecular similarity indices analysis (CoMSIA). The in vitro JNK3 inhibitory activity exhibited a strong correlation with steric and electrostatic factors of the molecules. Using four different types of alignments, the best model was selected based on the statistical significance of CoMFA ($q_2\;=\;0.728,\;r_2\;=\;0.865$), CoMSIA ($q_2\;=\;0.706,\;r_2\;=\;0.960$) and Hologram QSAR (HQSAR: $q_2\;=\;0.838,\;r_2\;=\;0.935$). The graphical analysis of produced CoMFA and CoMSIA contour maps in the active site indicated that steric and electrostatic interactions with key residues are crucial for potency and selectivity of JNK3 inhibitors. The HQSAR analysis showed a similar qualitative conclusion. We believe these findings could be utilized for further development of more potent and selective JNK3 inhibitors.

Various Partial Charge Schemes on 3D-QSAR Models for P-gp Inhibiting Adamantyl Derivatives

  • Gadhe, Changdev G.;Madhavan, Thirumurthy;Kothandan, Gugan;Lee, Tae-Bum;Lee, Kyeong;Cho, Seung-Joo
    • Bulletin of the Korean Chemical Society
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    • v.32 no.5
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    • pp.1604-1612
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    • 2011
  • We developed three-dimensional quantitative structure activity relationship (3D-QASR) models for 17 adamantyl derivatives as P-glycoprotein (P-gp) inhibitors. Eighteen different partial charge calculation methods were tested to check the feasibility of the 3D-QSAR models. Best predictive comparative molecular field analysis (CoMFA) model was obtained with the Austin Model 1-Bond Charge Correction (AM1-BCC) atomic charge. The 3D-QSAR models were derived with CoMFA and comparative molecular similarity indices analysis (CoMSIA). The final CoMFA model ($q^2$ = 0.764, $r^2$ = 0.988) was calculated with an AM1-BCC charge and electrostatic parameter, whereas the CoMSIA model ($q^2$ = 0.655, $r^2$ = 0.964) was derived with an AM1-BCC charge and combined steric, electrostatic, hydrophobic and HB-acceptor parameters. Leave-five-out (LFO) cross-validation was also performed, which yielded good correlation coefficient for both CoMFA (0.801) and CoMSIA (0.656) models. Robustness of the developed models was checked further with 1000 run bootstrapping analyses, which gave an acceptable correlation coefficient for CoMFA (BS-$r^2$ = 0.997, BS-SD = 0.003) and CoMSIA (BS-$r^2$ = 0.996, BS-SD = 0.018).

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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CoMFA and CoMSIA 3D QSAR Studies on Pimarane Cyclooxygenase-2 (COX-2) Inhibitors

  • Suh, Young-Ger;Lee, Kwang-Ok;Park, Hyun-Ju;Kim, Young-Ho;Moon, Sung-Hyun
    • Proceedings of the PSK Conference
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    • 2003.04a
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    • pp.250.1-250.1
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    • 2003
  • In this work, we have conducted 3D-QSAR studies on a series of acanthonic acid derivatives that act as COX-2 inhibitors, using two different methods: comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA). CoMFA and CoMSIA analysis of twenty five pimarane analogues produced good models with high predictive abilities. (omitted)

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A CoMFA Study of Glycogen Synthase Kinase 3 Inhibitors

  • Balupuri, Anand;Balasubramanian, Pavithra K.;Cho, Seung Joo
    • Journal of Integrative Natural Science
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    • v.8 no.1
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    • pp.40-47
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    • 2015
  • Glycogen synthase kinase 3 (GSK-3) is a serine/threonine protein kinase that has recently emerged as a promising target in drug discovery. It is involved in multiple cellular processes and associated with the pathogenesis of several diseases. A three-dimensional quantitative structure-activity relationship (3D-QSAR) analysis was performed on a series of GSK-3 inhibitors to understand the structural basis for inhibitory activity. Comparative molecular field analysis (CoMFA) method was used to derive 3D-QSAR models. A reliable CoMFA model was developed using ligand-based alignment scheme. The model produced statistically acceptable results with a cross-validated correlation coefficient ($q^2$) of 0.594 and a non-cross-validated correlation coefficient ($r^2$) of 0.943. Robustness of the model was checked by bootstrapping and progressive scrambling analysis. This study could assist in the design of novel compounds with enhanced GSK-3 inhibitory activity.