New Computational Approaches Aimed at the Prediction of More Selective and Active Drugs-Reference-Cited by-同舟云学术

New Computational Approaches Aimed at the Prediction of More Selective and Active Drugs

Published:2020-08-24 Issue:18 Volume:20 Page:1581-1581
ISSN:1568-0266
Container-title:Current Topics in Medicinal Chemistry
language:en
Short-container-title:CTMC

Author:

Concu Riccardo¹

Affiliation:

1. Requimte/Faculdade de Ciências da Universidade Do Porto Rua do Campo Alegre, s/n 4169-007 Porto, Portugal

Abstract

Publisher

Bentham Science Publishers Ltd.

Subject

Drug Discovery,General Medicine

Reference5 articles.

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2. Concu,R.; González-Durruthy,M.; Cordeiro, M.N.D.S. Developing a multi-target model to predict the activity of monoamine o xidase a and b drugs. Curr. Top. Med. Chem. 2020,20(18),1593-1600

3. Kumar,V.; De,P.; Ojha, P.K.; Saha,A.; Roy, K. A multi-layered variable selection strategy for qsar modeling of butyrylch olinesterase inhibitors. Curr. Top. Med. Chem. 2020,20(18),1601-1627

4. Gómez-Ganau,S.; Castillo,J.; Cervantes,A.; de Julián Ortiz, J.V.; Gozalbes, R. Computational evaluation and in vitro validation of new epidermal growth factor receptor inhibitors. Curr. Top. Med. Chem. 2020,20(18),1628-1639

5. Pei,Z.; Shi,M.; Guo,J.; Shen, B. Heart rate variability based prediction of personalized drug therapeutic res ponse: the present status and the perspec-tives. Curr. Top. Med. Chem. 2020,20(18),1640-1650. Dr. Riccardo Concu (Guest Editor) Investigator Requimte/Faculdade de Ciências da Universidade Do Porto Rua do Campo Alegre, s/n 4169-007 Porto Portugal E-mails: ric.concu@gmail.com; riccardo.concu@fc.up.pt 1873-4294/20 $65.00+.00 © 2020 Bentham Science Publishers

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