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OpenEye Scientific Software Inc oegraphsim python toolkits
Oegraphsim Python Toolkits, supplied by OpenEye Scientific Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/openeye+python+toolkits/oegraphsim+python+toolkits/10__1002_slash_cmdc__201900261-364-8-7
Average 90 stars, based on 1 article reviews
oegraphsim python toolkits - by Bioz Stars, 2026-09
90/100 stars

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Article Title: 2‐Phenyloxazole‐4‐carboxamide as a Scaffold for Selective Inhibition of Human Monoamine Oxidase B
Article Snippet: MACCS and ECFP6 fingerprints available within the OpenEye OEGraphSim Python Toolkits were used for the similarity calculations.

Article Title: Identification of 4-aryl-1H-pyrrole[2,3-b]pyridine derivatives for the development of new B-Raf inhibitors.
Article Snippet: This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record.. Please cite this article as doi: 10.1111/cbdd.13185 This article is protected by copyright.. All rights reserved.

Article Title: Structure-Activity Relationships of Hexahydrocyclopenta[c]quinoline Derivatives as Allosteric Inhibitors of CDK2 and EGFR.
Article Snippet: Due to their pivotal role in the modulation of cell pathways, protein kinases (PKs) are the targets of choice for a number of human diseases.. The standard approach of targeting the ATP binding site has recently come up against selectivity and drug resistance issues, which can be considerably decreased by targeting allosteric pockets.. In fact, allosteric modulators of protein kinases bind to less conserved binding sites thus allowing to bypass drug resistance issues clinically observed with ATPcompetitive drugs.

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Article Title: What do medicinal chemists actually make? A 50-year retrospective.
Article Snippet: Despite the dramatically increasing costs of pharmaceutical R&D, 3 productivity, as measured by the number of new drugs approved each year, has languished during the past decade.. Many different explanations have been proposed to account for this decline, such as increasing regulatory scrutiny, the inherent inefficiency of very large organizations, the pursuit of highly speculative targets identified from genomics, andmore objective decision-making about advancing marginal compounds into latestage clinical trials.. Another factor often cited to help explain low pharmaceutical productivity is that, paradoxically, many compounds synthesized by medicinal chemists are not “druglike”, at least as measured by various criteria such as the “rule of 5” or REOS.



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