AI Article Synopsis

  • An increase in unknown enzymes due to genomics has led to a demand for improved methods to study them, particularly using enzyme inhibitors.
  • The proposed strategy involves categorizing oxidoreductase genes into structural groups called pharmacofamilies, which helps identify common features in their binding sites.
  • By utilizing NMR-based techniques for binding site mapping, researchers can efficiently design diverse inhibitor libraries that effectively target these enzymes.

Article Abstract

Genomics-driven growth in the number of enzymes of unknown function has created a need for better strategies to characterize them. Since enzyme inhibitors have traditionally served this purpose, we present here an efficient systems-based inhibitor design strategy, enabled by bioinformatic and NMR structural developments. First, we parse the oxidoreductase gene family into structural subfamilies termed pharmacofamilies, which share pharmacophore features in their cofactor binding sites. Then we identify a ligand for this site and use NMR-based binding site mapping (NMR SOLVE) to determine where to extend a combinatorial library, such that diversity elements are directed into the adjacent substrate site. The cofactor mimic is reused in the library in a manner that parallels the reuse of cofactor domains in the oxidoreductase gene family. A library designed in this manner yielded specific inhibitors for multiple oxidoreductases.

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http://dx.doi.org/10.1016/j.chembiol.2004.02.012DOI Listing

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