scholarly journals Molecular modeling studies of 1,2,4-triazine derivatives as novel h-DAAO inhibitors by 3D-QSAR, docking and dynamics simulations

RSC Advances ◽  
2018 ◽  
Vol 8 (26) ◽  
pp. 14311-14327 ◽  
Author(s):  
Ping Ping Qian ◽  
Shuai Wang ◽  
Kai Rui Feng ◽  
Yu Jie Ren
Keyword(s):  
Molecular Modeling ◽  
Computational Modeling ◽  
3D Qsar ◽  
Modeling Methods ◽  
Modeling Studies ◽  
Triazine Derivatives ◽  
Molecular Modeling Studies ◽  
Dynamics Simulations

Computational modeling methods were successfully applied to discover new 1,2,4-triazine compounds as potential h-DAAO inhibitors.

Molecular modeling studies to characterize N-phenylpyrimidin-2-amine selectivity for CDK2 and CDK4 through 3D-QSAR and molecular dynamics simulations

2016 ◽  
Vol 12 (4) ◽  
pp. 1250-1268 ◽  
Author(s):  
Tahir Ali Chohan ◽  
Jiong-Jiong Chen ◽  
Hai-Yan Qian ◽  
You-Lu Pan ◽  
Jian-Zhong Chen
Keyword(s):  
Molecular Dynamics ◽  
Molecular Modeling ◽  
Molecular Dynamics Simulations ◽  
3D Qsar ◽  
Structure Activity ◽  
Modeling Studies ◽  
Molecular Modeling Studies ◽  
Dynamics Simulations

Molecular modeling simulations were carried out to understand the structure–activity and selectivity correlation of N-phenylpyrimidin-2-amines binding to CDK2 and CDK4.

Molecular Modeling Studies on 2,4-Disubstituted Imidazopyridines as Anti-Malarials: Atom-Based 3D-QSAR, Molecular Docking, Virtual Screening, In-Silico ADMET and Theoretical Analysis

2021 ◽  
pp. 2150012
Author(s):  
Suraj N. Mali ◽  
Anima Pandey
Keyword(s):  
Molecular Docking ◽  
Molecular Modeling ◽  
Virtual Screening ◽  
In Silico ◽  
Energy Gap ◽  
3D Qsar ◽  
Modeling Studies ◽  
In Vitro Investigation ◽  
In Silico Admet ◽  
Molecular Modeling Studies

Malarial parasites have been reported for moderate-high resistance towards classical antimalarial agents and henceforth development of newer novel chemical entities targeting multiple targets rather than targeting single target will be a highly promising strategy in antimalarial drug discovery. Herein, we carried out molecular modeling studies on 2,4-disubstituted imidazopyridines as anti-hemozoin formation inhibitors by using Schrödinger’s molecular modeling package (2020_4). We have developed statistically robust atom-based 3D-QSAR model (training set, [Formula: see text]; test set, [Formula: see text]; [Formula: see text] [Formula: see text]; root-mean-square error, [Formula: see text]; standard deviation, [Formula: see text]). Our molecular docking, in-silico ADMET analysis showed that dataset molecule 37, has highly promising results. Our ligand-based virtual screening resulted in top five ZINC hits, among them ZINC73737443 hit was observed with lesser energy gap, i.e. 7.85[Formula: see text]eV, higher softness value (0.127[Formula: see text]eV), and comparatively good docking score of [Formula: see text]10.2[Formula: see text]kcal/mol. Our in-silico analysis for a proposed hit, ZINC73737443 showed that this molecule has good ADMET, in-silico nonames toxic as well as noncarcinogenic profile. We believe that further experimental as well as the in-vitro investigation will throw more lights on the identification of ZINC73737443 as a potential antimalarial agent.

scholarly journals Molecular Modeling Studies on Benzimidazole Carboxamide Derivatives as PARP-1 Inhibitors Using 3D-QSAR and Docking

2011 ◽  
Vol 78 (3) ◽  
pp. 333-352 ◽  
Author(s):  
Huahui Zeng ◽  
Huabei Zhang ◽  
Fubin Jang ◽  
Lingzhou Zhao ◽  
Jianyuan Zhang
Keyword(s):  
Molecular Modeling ◽  
3D Qsar ◽  
Modeling Studies ◽  
Molecular Modeling Studies ◽  
Parp 1

Molecular Modeling Studies of Anti-Alzheimer Agents by QSAR, Molecular Docking and Molecular Dynamics Simulations Techniques

2020 ◽  
Vol 16 (7) ◽  
pp. 903-927 ◽  
Author(s):  
Rahman Abdizadeh ◽  
Farzin Hadizadeh ◽  
Tooba Abdizadeh
Keyword(s):  
Molecular Dynamics ◽  
Molecular Docking ◽  
Molecular Modeling ◽  
Molecular Dynamics Simulations ◽  
Data Set ◽  
Ache Inhibitors ◽  
Modeling Studies ◽  
Qsar Models ◽  
Molecular Modeling Studies ◽  
Dynamics Simulations

Background: Acetylcholinesterase (AChE), a serine hydrolase, is an important drug target in the treatment of Alzheimer's disease (AD). Thus, novel AChE inhibitors were designed and developed as potential drug candidates, for significant therapy of AD. Objective: In this work, molecular modeling studies, including CoMFA, CoMFA-RF, CoMSIA, HQSAR and molecular docking and molecular dynamics simulations were performed on a series of AChE inhibitors to get more potent anti-Alzheimer drugs. Methods: 2D/3D-QSAR models including CoMFA, CoMFA-RF, CoMSIA, and HQSAR methods were carried out on 40 pyrimidinylthiourea derivatives as data set by the Sybylx1.2 program. Molecular docking and molecular dynamics simulations were performed using the MOE software and the Sybyl program, respectively. Partial least squares (PLS) model as descriptors was used for QSAR model generation. Results: The CoMFA (q2, 0.629; r2ncv, 0.901; r2pred, 0.773), CoMFA-RF (q2, 0.775; r2ncv, 0.910; r2pred, 0.824), CoMSIA (q2, 0.754; r2ncv, 0.919; r2pred, 0.874) and HQSAR models (q2, 0.823; r2ncv, 0.976; r2pred, 0.854) for training and test set yielded significant statistical results. Conclusion: These QSAR models were excellent, robust and had good predictive capability. Contour maps obtained from the QSAR models were validated by molecular dynamics simulationassisted molecular docking study. The resulted QSAR models could be useful for the rational design of novel potent AChE inhibitors in Alzheimer's treatment.

3D-QSAR and molecular modeling studies on 2,3-dideoxy hexenopyranosid-4-uloses as anti-tubercular agents targeting alpha-mannosidase

2015 ◽  
Vol 59 ◽  
pp. 91-96 ◽  
Author(s):  
Priyanka Shah ◽  
Mohammad Saquib ◽  
Smriti Sharma ◽  
Irfan Husain ◽  
Sandeep K. Sharma ◽  
...  
Keyword(s):  
Molecular Modeling ◽  
3D Qsar ◽  
Modeling Studies ◽  
Molecular Modeling Studies
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