TWN-RENCOD: A novel method for protein binding site comparison

• Published in: Computational and structural biotechnology journal 2023-01, Vol.21, p.425-431
• Main Authors: Choi, Kwang-Eun, Balupuri, Anand, Kang, Nam Sook
• Format: Article
• Language: English
• Subjects: Binding site comparison method; Drug repurposing; Protein binding site; Sunitinib; Water network
• ISSN: 2001-0370; 2001-0370
• DOI: 10.1016/j.csbj.2022.12.014

Several diverse proteins possess similar binding sites. Protein binding site comparison provides valuable insights for the drug discovery and development. Binding site similarities are useful in understanding polypharmacology, identifying potential off-targets and repurposing of known drugs. Many binding site analysis and comparison methods are available today, however, these methods may not be adequate to explain variation in the activity of a drug or a small molecule against a number of similar proteins. Water molecules surrounding the protein surface contribute to structure and function of proteins. Water molecules form diverse types of hydrogen-bonded cyclic water-ring networks known as topological water networks (TWNs). Analysis of TWNs in binding site of proteins may improve understanding of the characteristics of binding sites. We propose TWN-based residue encoding (TWN-RENCOD), a novel binding site comparison method which compares the aqueous environment in binding sites of similar proteins. As compared to other existing methods, results obtained using our method correlated better with differences in wide range of activity of a known drug (Sunitinib) against nine different protein kinases (KIT, PDGFRA, VEGFR2, PHKG2, ITK, HPK1, MST3, PAK6 and CDK2). [Display omitted]