J Chem Inf Model - A new protocol for predicting novel GSK-3? ATP competitive inhibitors.

Tópicos

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Resumo

Glycogen synthase kinase 3? (GSK-3?) is a potential therapeutic target for cancer, type-2 diabetes, and Alzheimer's disease. This paper proposes a new lead identification protocol that predicts new GSK-3? ATP competitive inhibitors with topologically diverse scaffolds. First, three-dimensional quantitative structure-activity relationship (3D QSAR) models were built and validated. These models are based upon known GSK-3? inhibitors, benzofuran-3-yl-(indol-3-yl) maleimides, by means of comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA). Second, 28826 maleimide derivatives were selected from the PubChem database. After filtration via Lipinski's rules, 10429 maleimide derivatives were left. Third, the FlexX-dock program was employed to virtually screen the 10429 compounds against GSK-3?. This resulted in 617 virtual hits. Fourth, the 3D QSAR models predicted that from the 617 virtual hits, 93 compounds would have GSK-3? inhibition values of less than 15 nM. Finally, from the 93 predicted active hits, 23 compounds were confirmed as GSK-3? inhibitors from literatures; their GSK-3? inhibition ranged from 1.3 to 480 nM. Therefore, the hits rate of our virtual screening protocol is greater than 25%. The protocol combines ligand- and structure-based approaches and therefore validates both approaches and is capable of identifying new hits with topologically diverse scaffolds.

Resumo Limpo

glycogen synthas kinas gsk potenti therapeut target cancer type diabet alzheim diseas paper propos new lead identif protocol predict new gsk atp competit inhibitor topolog divers scaffold first threedimension quantit structureact relationship d qsar model built valid model base upon known gsk inhibitor benzofuranylindolyl maleimid mean compar molecular field analysi comfa compar molecular similar indic analysi comsia second maleimid deriv select pubchem databas filtrat via lipinski rule maleimid deriv left third flexxdock program employ virtual screen compound gsk result virtual hit fourth d qsar model predict virtual hit compound gsk inhibit valu less nm final predict activ hit compound confirm gsk inhibitor literatur gsk inhibit rang nm therefor hit rate virtual screen protocol greater protocol combin ligand structurebas approach therefor valid approach capabl identifi new hit topolog divers scaffold

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