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Merging cultures and disciplines to create a drug discovery ecosystem at Virginia commonwealth university: Medicinal chemistry, structural biology, molecular and behavioral pharmacology and computational chemistry

Authors :
Glen E. Kellogg
Yana Cen
Malgorzata Dukat
Keith C. Ellis
Youzhong Guo
Jiong Li
Aaron E. May
Martin K. Safo
Shijun Zhang
Yan Zhang
Umesh R. Desai
Source :
SLAS Discovery, Vol 28, Iss 6, Pp 255-269 (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

The Department of Medicinal Chemistry, together with the Institute for Structural Biology, Drug Discovery and Development, at Virginia Commonwealth University (VCU) has evolved, organically with quite a bit of bootstrapping, into a unique drug discovery ecosystem in response to the environment and culture of the university and the wider research enterprise. Each faculty member that joined the department and/or institute added a layer of expertise, technology and most importantly, innovation, that fertilized numerous collaborations within the University and with outside partners. Despite moderate institutional support with respect to a typical drug discovery enterprise, the VCU drug discovery ecosystem has built and maintained an impressive array of facilities and instrumentation for drug synthesis, drug characterization, biomolecular structural analysis and biophysical analysis, and pharmacological studies. Altogether, this ecosystem has had major impacts on numerous therapeutic areas, such as neurology, psychiatry, drugs of abuse, cancer, sickle cell disease, coagulopathy, inflammation, aging disorders and others. Novel tools and strategies for drug discovery, design and development have been developed at VCU in the last five decades; e.g., fundamental rational structure-activity relationship (SAR)-based drug design, structure-based drug design, orthosteric and allosteric drug design, design of multi-functional agents towards polypharmacy outcomes, principles on designing glycosaminoglycans as drugs, and computational tools and algorithms for quantitative SAR (QSAR) and understanding the roles of water and the hydrophobic effect.

Details

Language :
English
ISSN :
24725552 and 02476711
Volume :
28
Issue :
6
Database :
Directory of Open Access Journals
Journal :
SLAS Discovery
Publication Type :
Academic Journal
Accession number :
edsdoj.96b02476711041fea6a676aac62c3785
Document Type :
article
Full Text :
https://doi.org/10.1016/j.slasd.2023.02.006