Literature DB >> 21169017

Discovery of novel class 1 phosphatidylinositide 3-kinases (PI3K) fragment inhibitors through structure-based virtual screening.

Fabrizio Giordanetto1, Bengt Kull, Anita Dellsén.   

Abstract

The discovery of ligand efficient and lipophilicity efficient fragment inhibitors of class 1 phosphatidylinositide 3-kinases (PI3K) is reported. A fragment version of the AstraZeneca compound bank was docked to a homology model of the PI3K p110β isoform. Interaction-based scoring of the predicted binding poses served to further prioritise the virtual fragment hits. Experimental screening confirmed potency for a total of 18 fragment inhibitors, belonging to five different structural classes. Copyright Â
© 2010 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 21169017     DOI: 10.1016/j.bmcl.2010.11.087

Source DB:  PubMed          Journal:  Bioorg Med Chem Lett        ISSN: 0960-894X            Impact factor:   2.823


  5 in total

1.  Effect of Binding Pose and Modeled Structures on SVMGen and GlideScore Enrichment of Chemical Libraries.

Authors:  David Xu; Samy O Meroueh
Journal:  J Chem Inf Model       Date:  2016-05-24       Impact factor: 4.956

2.  High-throughput screening campaigns against a PI3Kα isoform bearing the H1047R mutation identified potential inhibitors with novel scaffolds.

Authors:  Jia Wang; Grace Qun Gong; Yan Zhou; Woo-Jeong Lee; Christina Maree Buchanan; William Alexander Denny; Gordon William Rewcastle; Jackie Diane Kendall; James Michael Jeremy Dickson; Jack Urquhart Flanagan; Peter Robin Shepherd; De-Hua Yang; Ming-Wei Wang
Journal:  Acta Pharmacol Sin       Date:  2018-07-10       Impact factor: 6.150

Review 3.  Allosteric modulation of Ras and the PI3K/AKT/mTOR pathway: emerging therapeutic opportunities.

Authors:  Paul A Hubbard; Colleen L Moody; Ramachandran Murali
Journal:  Front Physiol       Date:  2014-12-16       Impact factor: 4.566

Review 4.  Drug Discovery of Plausible Lead Natural Compounds That Target the Insulin Signaling Pathway: Bioinformatics Approaches.

Authors:  Siba Shanak; Najlaa Bassalat; Ahmad Barghash; Sleman Kadan; Mahmoud Ardah; Hilal Zaid
Journal:  Evid Based Complement Alternat Med       Date:  2022-03-20       Impact factor: 2.629

Review 5.  In silico Methods for Design of Kinase Inhibitors as Anticancer Drugs.

Authors:  Zarko Gagic; Dusan Ruzic; Nemanja Djokovic; Teodora Djikic; Katarina Nikolic
Journal:  Front Chem       Date:  2020-01-08       Impact factor: 5.221

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.