Literature DB >> 32393920

Active machine learning helps drug hunters tackle biology.

Michael Eisenstein1.   

Abstract

Year:  2020        PMID： 32393920     DOI： 10.1038/s41587-020-0521-4

Source DB:  PubMed          Journal:  Nat Biotechnol        ISSN： 1087-0156            Impact factor:   54.908


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  4 in total

Review 1.  Recent advances in the microbial production of isopentanol (3-Methyl-1-butanol).

Authors:  Weerawat Runguphan; Kittapong Sae-Tang; Sutipa Tanapongpipat
Journal:  World J Microbiol Biotechnol       Date:  2021-05-27       Impact factor: 3.312

2.  Structural insights into inhibition of PRRSV Nsp4 revealed by structure-based virtual screening, molecular dynamics, and MM-PBSA studies.

Authors:  Rajesh Kumar Pathak; Young-Jun Seo; Jun-Mo Kim
Journal:  J Biol Eng       Date:  2022-02-22       Impact factor: 4.355

3.  Illuminating elite patches of chemical space.

Authors:  Jonas Verhellen; Jeriek Van den Abeele
Journal:  Chem Sci       Date:  2020-09-17       Impact factor: 9.825

4.  Active Learning Accelerates Design and Optimization of Hole-Transporting Materials for Organic Electronics.

Authors:  Hadi Abroshan; H Shaun Kwak; Yuling An; Christopher Brown; Anand Chandrasekaran; Paul Winget; Mathew D Halls
Journal:  Front Chem       Date:  2022-01-17       Impact factor: 5.221
  4 in total

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