Literature DB >> 20450477

Predictions of the ADMET properties of candidate drug molecules utilizing different QSAR/QSPR modelling approaches.

Mahmud Tareq Hassan Khan1.   

Abstract

The integration of early ADMET (absorption, distribution, metabolism, excretion and toxicity) profiling, or simply prediction, of 'lead' molecules to speed-up the 'lead' selection further for phase-I trial without losing large amount of revenue. The ADMET profiling and prediction is mostly dependent of a number of molecular descriptors, for example, Lipinski's 'Rule of 5' (Ro5). Recently a large number of articles have been reporting that it possible to do some prediction of the ADMET properties using the structural features of the molecules, utilizing several and multiple approaches. One of the most important approaches is the QSAR/QSPR modelling of the data derived from their activity profiles and their different structural features (i.e., quantitative molecular descriptors).

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20450477     DOI: 10.2174/138920010791514306

Source DB:  PubMed          Journal:  Curr Drug Metab        ISSN: 1389-2002            Impact factor:   3.731


  23 in total

1.  Research priorities in pharmacokinetics.

Authors:  Geoffrey T Tucker
Journal:  Br J Clin Pharmacol       Date:  2012-06       Impact factor: 4.335

2.  Combination of docking, molecular dynamics and quantum mechanical calculations for metabolism prediction of 3,4-methylenedioxybenzoyl-2-thienylhydrazone.

Authors:  Rodolpho C Braga; Vinícius M Alves; Carlos A M Fraga; Eliezer J Barreiro; Valéria de Oliveira; Carolina H Andrade
Journal:  J Mol Model       Date:  2011-09-08       Impact factor: 1.810

3.  Generative network complex (GNC) for drug discovery.

Authors:  Christopher Grow; Kaifu Gao; Duc Duy Nguyen; Guo-Wei Wei
Journal:  Commun Inf Syst       Date:  2019

Review 4.  A review of mathematical representations of biomolecular data.

Authors:  Duc Duy Nguyen; Zixuan Cang; Guo-Wei Wei
Journal:  Phys Chem Chem Phys       Date:  2020-02-26       Impact factor: 3.676

5.  Are 2D fingerprints still valuable for drug discovery?

Authors:  Kaifu Gao; Duc Duy Nguyen; Vishnu Sresht; Alan M Mathiowetz; Meihua Tu; Guo-Wei Wei
Journal:  Phys Chem Chem Phys       Date:  2020-04-29       Impact factor: 3.676

6.  Activity assessment of small drug molecules in estrogen receptor using multilevel prediction model.

Authors:  Vishan Kumar Gupta; Prashant Singh Rana
Journal:  IET Syst Biol       Date:  2019-06       Impact factor: 1.615

7.  Generative Network Complex for the Automated Generation of Drug-like Molecules.

Authors:  Kaifu Gao; Duc Duy Nguyen; Meihua Tu; Guo-Wei Wei
Journal:  J Chem Inf Model       Date:  2020-08-07       Impact factor: 4.956

8.  In silico investigation of potential SRC kinase ligands from traditional Chinese medicine.

Authors:  Weng Ieong Tou; Calvin Yu-Chian Chen
Journal:  PLoS One       Date:  2012-03-21       Impact factor: 3.240

9.  Cunninghamella as a microbiological model for metabolism of histamine H(3) receptor antagonist 1-[3-(4-tert-butylphenoxy)propyl]piperidine.

Authors:  Elżbieta Pękala; Paulina Kubowicz; Dorota Łażewska
Journal:  Appl Biochem Biotechnol       Date:  2012-09-16       Impact factor: 2.926

10.  Treatment of rheumatoid arthritis with traditional chinese medicine.

Authors:  Wen-Yuan Lee; Hsin-Yi Chen; Kuan-Chung Chen; Calvin Yu-Chian Chen
Journal:  Biomed Res Int       Date:  2014-06-04       Impact factor: 3.411

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.