Anang A. Shelat
Papers
1
Total Citations
4
H-Index
1
About
Dr. Anang A. Shelat is a computational chemist and cheminformatician whose work bridges high-throughput screening (HTS) and data-driven drug discovery. His primary research focuses on developing computational models to analyze and interpret large-scale biological assay data, with a particular emphasis on integrating cheminformatics into the HTS pipeline. Dr. Shelat’s major contribution lies in advancing the dialogue between experimental screening and predictive modeling, as exemplified by his organization of the 2011 ACS symposium "Cheminformatics aspects of HTS: from robots to models," which convened leading experts to address the challenges of translating robotic screening outputs into actionable chemical insights. The resulting symposium summary (2013) has garnered 4 citations, reflecting its role as a reference point for researchers seeking to optimize screening workflows through computational approaches. Notably, Dr. Shelat’s work underscores the critical importance of data quality, assay design, and model validation in accelerating the identification of novel chemical probes and therapeutic leads. For students and researchers entering the field, his efforts highlight the synergy between automation and informatics—a cornerstone of modern drug discovery.
Research Focus
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Top Papers
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