We developed a computational workflow to mine the Protein Data Bank for isosteric replacements that exist in different binding site environments but have not necessarily been identified and exploited in compound design. Taking phosphate groups as examples, the workflow was used to construct 157 data sets, each composed of a reference protein complexed with AMP, ADP, ATP, or pyrophosphate as well other ligands. Phosphate binding sites appear to have a high hydration content and large size, resulting in U-shaped bioactive conformations recurrently found across unrelated protein families. A total of 16 413 replacements were extracted, filtered for a significant structural overlap on phosphate groups, and sorted according to their SMILES codes. In addition to the classical isosteres of phosphate, such as carboxylate, sulfone, or sulfonamide, unexpected replacements that do not conserve charge or polarity, such as aryl, aliphatic, or positively charged groups, were found.
Structural Isosteres of Phosphate Groups in the Protein Data Bank
Yuezhou Zhang,Alexandre Borrel,Léo Ghemtio,Leslie Regad,G. B. Gennäs,A. Camproux,J. Yli-Kauhaluoma,H. Xhaard
Published 2017 in Journal of Chemical Information and Modeling
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- Publication year
2017
- Venue
Journal of Chemical Information and Modeling
- Publication date
2017-03-13
- Fields of study
Biology, Medicine, Chemistry, Computer Science
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Semantic Scholar, PubMed
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