Detection of ligand binding hot spots on protein surfaces via fragment-based methods: Application to DJ-1 and glucocerebrosidase

Melissa R. Landon, Raquel L. Lieberman, Quyen Q. Hoang, Shulin Ju, Jose M.M. Caaveiro, Susan D. Orwig, Dima Kozakov, Ryan Brenke, Gwo Yu Chuang, Dmitry Beglov, Sandor Vajda, Gregory A. Petsko, Dagmar Ringe

研究成果: Contribution to journalArticle査読

70 被引用数 (Scopus)

抄録

The identification of hot spots, i.e., binding regions that contribute substantially to the free energy of ligand binding, is a critical step for structure-based drug design. Here we present the application of two fragment-based methods to the detection of hot spots for DJ-1 and glucocerebrosidase (GCase), targets for the development of therapeutics for Parkinson's and Gaucher's diseases, respectively. While the structures of these two proteins are known, binding information is lacking. In this study we employ the experimental multiple solvent crystal structures (MSCS) method and computational fragment mapping (FTMap) to identify regions suitable for the development of pharmacological chaperones for DJ-1 and GCase. Comparison of data derived via MSCS and FTMap also shows that FTMap, a computational method for the identification of fragment binding hot spots, is an accurate and robust alternative to the performance of expensive and difficult crystallographic experiments.

本文言語英語
ページ(範囲)491-500
ページ数10
ジャーナルJournal of Computer-Aided Molecular Design
23
8
DOI
出版ステータス出版済み - 2009
外部発表はい

All Science Journal Classification (ASJC) codes

  • Drug Discovery
  • Computer Science Applications
  • Physical and Theoretical Chemistry

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