Literature DB >> 14697782

DFT-based QSAR study of testosterone and its derivatives.

P P Singh1, H K Srivastava, F A Pasha.   

Abstract

QSAR study of derivatives of testosterone has been made with the help of quantum mechanical parameters such as Absolute Hardness (eta) and Electronegativity (chi). These two parameters have been derived with the help of density functional theory. The 3-D modeling and geometry optimization of all the compounds have been done with the help of PCMODEL software and semiempirical PM3 calculations performed with the help of WinMOPAC-7.21 software. The absolute hardness provides valuable information due to maximum hardness principle and used in development of QSAR. The information provided by electronegativity is not as clear as in case of absolute hardness.

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Year:  2004        PMID: 14697782     DOI: 10.1016/j.bmc.2003.11.002

Source DB:  PubMed          Journal:  Bioorg Med Chem        ISSN: 0968-0896            Impact factor:   3.641


  8 in total

1.  Semiempirical QSAR study and ligand receptor interaction of estrogens.

Authors:  F A Pasha; H K Srivastava; P P Singh
Journal:  Mol Divers       Date:  2005       Impact factor: 2.943

2.  Application of artificial neural networks and DFT-based parameters for prediction of reaction kinetics of ethylbenzene dehydrogenase.

Authors:  Maciej Szaleniec; Małgorzata Witko; Ryszard Tadeusiewicz; Jakub Goclon
Journal:  J Comput Aided Mol Des       Date:  2006-06-16       Impact factor: 3.686

3.  Towards the design of cyclooxygenase (COX) inhibitors based on 4',5 di-substituted biphenyl acetic acid molecules: a QSAR study with a new DFT based descriptor - nucleus independent chemical shift.

Authors:  Ananda Sarkar; Golam Mostafa
Journal:  J Mol Model       Date:  2009-03-06       Impact factor: 1.810

4.  A model of atomic compressibility and its application in QSAR domain for toxicological property prediction.

Authors:  Hiteshi Tandon; Tanmoy Chakraborty; Vandana Suhag
Journal:  J Mol Model       Date:  2019-09-06       Impact factor: 1.810

5.  In silico QSAR studies of anilinoquinolines as EGFR inhibitors.

Authors:  Farhan Ahmad Pasha; Muhammad Muddassar; Anil Kumar Srivastava; Seung Joo Cho
Journal:  J Mol Model       Date:  2009-07-10       Impact factor: 1.810

6.  DFT and GA studies on the QSAR of 2-aryl-5-nitro-1H-indole derivatives as NorA efflux pump inhibitors.

Authors:  Yujie Dai; Xu Zhang; Xiuli Zhang; Huanjie Wang; Zhansheng Lu
Journal:  J Mol Model       Date:  2008-06-25       Impact factor: 1.810

7.  Molecular dynamics and QM/MM-based 3D interaction analyses of cyclin-E inhibitors.

Authors:  Farhan Ahmad Pasha; Mohammad Morshed Neaz
Journal:  J Mol Model       Date:  2012-10-20       Impact factor: 1.810

8.  Theoretical Reactivity Study of Indol-4-Ones and Their Correlation with Antifungal Activity.

Authors:  María de Los Ángeles Zermeño-Macías; Marco Martín González-Chávez; Francisco Méndez; Rodolfo González-Chávez; Arlette Richaud
Journal:  Molecules       Date:  2017-03-08       Impact factor: 4.411

  8 in total

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