L
Liwei Li
Researcher at Indiana University
Publications - 33
Citations - 1018
Liwei Li is an academic researcher from Indiana University. The author has contributed to research in topics: Urokinase receptor & Virtual screening. The author has an hindex of 17, co-authored 33 publications receiving 921 citations. Previous affiliations of Liwei Li include Indiana University – Purdue University Indianapolis.
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Journal ArticleDOI
Discovery and characterization of small molecules that target the GTPase Ral
Chao Yan,Degang Liu,Liwei Li,Michael F. Wempe,Sunny Guin,May Khanna,Jeremy A. Meier,Brenton D. Hoffman,Charles Owens,Christina L. Wysoczynski,Matthew D. Nitz,William Eric Knabe,Mansoor Ahmed,David L. Brautigan,Bryce M. Paschal,Martin A. Schwartz,David N. M. Jones,David Ross,Samy O. Meroueh,Dan Theodorescu +19 more
TL;DR: Protein structure analysis and virtual screening are used to identify drug-like molecules that bind to a site on the GDP-bound form of Ral and RBC8 and BQU57 show selectivity for Ral relative to the GTPases Ras and RhoA and inhibit tumour xenograft growth to a similar extent to the depletion of RAl using RNA interference.
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Support vector regression scoring of receptor-ligand complexes for rank-ordering and virtual screening of chemical libraries.
Liwei Li,Bo Wang,Samy O. Meroueh +2 more
TL;DR: A variant of SVR-KB (SVR-KBD) was developed by following a target-specific tailoring strategy that was previously employed to derive SVM-SP, and showed a much higher enrichment, outperforming all other scoring functions tested, and was comparable in performance to the authors' previously derived scoring function S VM-SP.
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A Computational Investigation of Allostery in the Catabolite Activator Protein
TL;DR: A new mechanism by which CAP triggers the transcription activation that is based on an order to disorder transition mediated by cAMP binding as well as DNA is proposed.
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Analysis of structured and intrinsically disordered regions of transmembrane proteins.
TL;DR: This systematic bioinformatics investigation of intrinsically disordered regions obtained from integral membrane proteins for which crystal structures have been determined, and for which the intrinsic disorder was identified as missing electron density, suggests that developing new predictors that make use of data from dis ordered regions in helical bundles and beta barrels will likely lead to significantly more accurate disorder predictions for these two classes of integral membranes proteins.
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PDBcal: a comprehensive dataset for receptor-ligand interactions with three-dimensional structures and binding thermodynamics from isothermal titration calorimetry.
Liwei Li,Justin J. Dantzer,Jonathan Nowacki,Brian J. O’Callaghan,Samy O. Meroueh,Samy O. Meroueh +5 more
TL;DR: The most comprehensive hand‐curated calorimetry dataset to date, which contains thermodynamic and structural data for more than 400 receptor–ligand complexes, confirms the existence of enthalpy‐entropy compensation effect for the first time using strictly ITC data.