Literature DB >> 15465330

Electrophilicity index as a possible descriptor of biological activity.

R Parthasarathi1, V Subramanian, D R Roy, P K Chattaraj.   

Abstract

The purpose of this study is to probe the suitability of DFT based chemical reactivity parameter, electrophilicity index as a possible biological activity descriptor in the development of QSAR. Testosterone derivatives with activity described in terms of various biological activity parameters and the estrogen derivatives by relative binding affinity (RBA) values have been selected as model systems. The implications for the ability of electrophilicity to describe the biological activities are discussed. From the results it is possible to observe that electrophilicity index may be suitable to effectively describe the biological activity.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15465330     DOI: 10.1016/j.bmc.2004.08.013

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


  24 in total

1.  Integration of renewable deep eutectic solvents with engineered biomass to achieve a closed-loop biorefinery.

Authors:  Kwang Ho Kim; Aymerick Eudes; Keunhong Jeong; Chang Geun Yoo; Chang Soo Kim; Arthur Ragauskas
Journal:  Proc Natl Acad Sci U S A       Date:  2019-06-24       Impact factor: 11.205

2.  DFT-based QSAR and QSPR models of several cis-platinum complexes: solvent effect.

Authors:  Pubalee Sarmah; Ramesh C Deka
Journal:  J Comput Aided Mol Des       Date:  2009-03-24       Impact factor: 3.686

Review 3.  Formation and signaling actions of electrophilic lipids.

Authors:  Francisco J Schopfer; Chiara Cipollina; Bruce A Freeman
Journal:  Chem Rev       Date:  2011-09-20       Impact factor: 60.622

4.  Computational approaches to find the active binding sites of biological targets against busulfan.

Authors:  T Karthick; Poonam Tandon
Journal:  J Mol Model       Date:  2016-05-30       Impact factor: 1.810

5.  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

6.  Analyzing toxicity through electrophilicity.

Authors:  D R Roy; U Sarkar; P K Chattaraj; A Mitra; J Padmanabhan; R Parthasarathi; V Subramanian; S Van Damme; P Bultinck
Journal:  Mol Divers       Date:  2006-06-09       Impact factor: 2.943

7.  Anticancer activity of nucleoside analogues: a density functional theory based QSAR study.

Authors:  Pubalee Sarmah; Ramesh C Deka
Journal:  J Mol Model       Date:  2009-07-21       Impact factor: 1.810

8.  On the intrinsic reactivity of highly potent trypanocidal cruzain inhibitors.

Authors:  Vinicius Bonatto; Pedro Henrique Jatai Batista; Lorenzo Cianni; Daniela De Vita; Daniel G Silva; Rodrigo Cedron; Daiane Y Tezuka; Sérgio de Albuquerque; Carolina Borsoi Moraes; Caio Haddad Franco; Jerônimo Lameira; Andrei Leitão; Carlos A Montanari
Journal:  RSC Med Chem       Date:  2020-09-09

9.  Arsenic toxicity: an atom counting and electrophilicity-based protocol.

Authors:  Debesh R Roy; Santanab Giri; Pratim K Chattaraj
Journal:  Mol Divers       Date:  2009-03-27       Impact factor: 2.943

10.  Structure-property relationships of a class of carbamate-based fatty acid amide hydrolase (FAAH) inhibitors: chemical and biological stability.

Authors:  Federica Vacondio; Claudia Silva; Alessio Lodola; Alessandro Fioni; Silvia Rivara; Andrea Duranti; Andrea Tontini; Silvano Sanchini; Jason R Clapper; Daniele Piomelli; Marco Mor; Giorgio Tarzia
Journal:  ChemMedChem       Date:  2009-09       Impact factor: 3.466

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.