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Current Topics in Medicinal Chemistry

Editor-in-Chief

ISSN (Print): 1568-0266
ISSN (Online): 1873-4294

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Editorial

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

Author(s): Riccardo Concu

Volume 20, Issue 18, 2020

Page: [1581 - 1581] Pages: 1

DOI: 10.2174/156802662018200630150100

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[1]
Garcia-Hernandez, C.; Fernández, A.; Serratosa, F. Learning the edit costs of graph edit distance applied to ligand-based virtual screening. Curr. Top. Med. Chem., 2020, 20(18), 1582-1592.
[2]
Concu, R.; González-Durruthy, M.; Cordeiro, M.N.D.S. Developing a multi-target model to predict the activity of monoamine oxidase 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 butyrylcholinesterase 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 response: the present status and the perspectives. Curr. Top. Med. Chem., 2020, 20(18), 1640-1650.

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