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AutoDesigner, a

Authors :
Pieter H, Bos
Evelyne M, Houang
Fabio, Ranalli
Abba E, Leffler
Nicholas A, Boyles
Volker A, Eyrich
Yuval, Luria
Dana, Katz
Haifeng, Tang
Robert, Abel
Sathesh, Bhat
Source :
Journal of chemical information and modeling. 62(8)
Publication Year :
2022

Abstract

The lead optimization stage of a drug discovery program generally involves the design, synthesis, and assaying of hundreds to thousands of compounds. The design phase is usually carried out via traditional medicinal chemistry approaches and/or structure-based drug design (SBDD) when suitable structural information is available. Two of the major limitations of this approach are (1) difficulty in rapidly designing potent molecules that adhere to myriad project criteria, or the multiparameter optimization (MPO) problem, and (2) the relatively small number of molecules explored compared to the vast size of chemical space. To address these limitations, we have developed AutoDesigner, a

Details

ISSN :
1549960X
Volume :
62
Issue :
8
Database :
OpenAIRE
Journal :
Journal of chemical information and modeling
Accession number :
edsair.pmid..........811661abdc40d502e2fe41699c616932