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An in silico high-throughput screen identifies potential se..:
Meirson T
;
Samson AO
;
Gil-Henn H
https://www.dovepress.com/an-in-silico-high-throughput-screen-identifies-potential-selective-inh-peer-reviewed-article-DDDT. , 2017
Link:
https://doaj.org/article/01ef532f9e614f8e825e52cbe2a3c..
RT Journal T1 <Title>An in silico high-throughput screen identifies potential selective inhibitors for the non-receptor tyrosine kinase Pyk2</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:01ef532f9e614f8e825e52cbe2a3c24b&Exemplar=1&LAN=DE A1 Meirson T A1 Samson AO A1 Gil-Henn H PB Dove Medical Press YR 2017 K1 Pyk2 K1 virtual screen K1 efficiency metrics K1 molecular dynamics K1 Therapeutics. Pharmacology K1 RM1-950 JF https://www.dovepress.com/an-in-silico-high-throughput-screen-identifies-potential-selective-inh-peer-reviewed-article-DDDT LK http://dx.doi.org/https://doaj.org/article/01ef532f9e614f8e825e52cbe2a3c24b DO https://doaj.org/article/01ef532f9e614f8e825e52cbe2a3c24b SF ELIB - SuUB Bremen
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