Data science-driven analyses of drugs inducing hypertension as an adverse effect-Reference-Cited by-同舟云学术

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Data science-driven analyses of drugs inducing hypertension as an adverse effect

Published:2020-05-15 Issue:2 Volume:25 Page:801-810
ISSN:1381-1991
Container-title:Molecular Diversity
language:en
Short-container-title:Mol Divers

Author:

Sharma Reetu^ORCID

Funder

Department of Biotechnology, Government of West Bengal

Publisher

Springer Science and Business Media LLC

Subject

Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Drug Discovery,Molecular Biology,General Medicine,Information Systems,Catalysis

Link

https://link.springer.com/content/pdf/10.1007/s11030-020-10059-5.pdf

Reference53 articles.

1. Lewis PR, Karpa KD, Felix TM (2015) Adverse effects of common drugs: adults. FP Essent 436:23–30

2. Cheng F, Kovács IA, Barabási A-L (2019) Network-based prediction of drug combinations. Nat Commun 10(1):1197

3. Lipinski C, Hopkins A (2004) Navigating chemical space for biology and medicine. Nature 432(7019):855–861

4. Clemons PA, Wilson JA, Dančík V, Muller S, Carrinski HA, Wagner BK, Koehler AN, Schreiber SL (2011) Quantifying structure and performance diversity for sets of small molecules comprising small-molecule screening collections. Proc Natl Acad Sci USA 108(17):6817–6822

5. Clemons PA, Bodycombe NE, Carrinski HA, Wilson JA, Shamji AF, Wagner BK, Koehler AN, Schreiber SL (2010) Small molecules of different origins have distinct distributions of structural complexity that correlate with protein-binding profiles. Proc Natl Acad Sci USA 107(44):18787–18792

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