2009
DOI: 10.1371/journal.pcbi.1000585
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Predicting Protein Ligand Binding Sites by Combining Evolutionary Sequence Conservation and 3D Structure

Abstract: Identifying a protein's functional sites is an important step towards characterizing its molecular function. Numerous structure- and sequence-based methods have been developed for this problem. Here we introduce ConCavity, a small molecule binding site prediction algorithm that integrates evolutionary sequence conservation estimates with structure-based methods for identifying protein surface cavities. In large-scale testing on a diverse set of single- and multi-chain protein structures, we show that ConCavity… Show more

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Cited by 401 publications
(359 citation statements)
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“…Conversely, some functional assay formats and direct ligandbinding methods (e.g., isothermal titration calorimetry, surface plasmon resonance) may detect the effect of a small molecule binding to a secondary site but be unable to distinguish it from a competitive ligand. Furthermore, many computational methods have been developed to predict ligand-binding sites from protein sequence conservation, 3D structure (12), or both (13). These tools have had some success in predicting sites from the apo structure (14), including the presence of cryptic pockets (15).…”
Section: Fragment-based Drug Designmentioning
confidence: 99%
“…Conversely, some functional assay formats and direct ligandbinding methods (e.g., isothermal titration calorimetry, surface plasmon resonance) may detect the effect of a small molecule binding to a secondary site but be unable to distinguish it from a competitive ligand. Furthermore, many computational methods have been developed to predict ligand-binding sites from protein sequence conservation, 3D structure (12), or both (13). These tools have had some success in predicting sites from the apo structure (14), including the presence of cryptic pockets (15).…”
Section: Fragment-based Drug Designmentioning
confidence: 99%
“…The analysis of solvent accessibility requires detailed knowledge of 29 ligand binding sites, which is limited to proteins with known ligand-bound structures. The second 30 approach uses evolutionary conservation of amino acids (Capra et al 2009;Lichtarge and Sowa 2002). 31 For example, amino acids in catalytic sites of enzymes are more conserved on average (Bartlett et al 32 2002).…”
Section: Introduction 23mentioning
confidence: 99%
“…Structural genomics research has also lead to methods, commercial instrumentation, labware, and reagents for high throughput cloning, expression, and crystallization of proteins [12][13][14][15][16]. New software tools for structure prediction [17,19], design of experiments, laboratory information management, novel structure based informatics [20][21][22], such as function prediction from structure, have also been developed [23][24][25].…”
Section: Introductionmentioning
confidence: 99%