2012
DOI: 10.2174/138161212799436412
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Computational Prediction of Protein Hot Spot Residues

Abstract: Most biological processes involve multiple proteins interacting with each other. It has been recently discovered that certain residues in these protein-protein interactions, which are called hot spots, contribute more significantly to binding affinity than others. Hot spot residues have unique and diverse energetic properties that make them challenging yet important targets in the modulation of protein-protein complexes. Design of therapeutic agents that interact with hot spot residues has proven to be a valid… Show more

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Cited by 89 publications
(41 citation statements)
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“…This is similar to the hot-spot predictions to determine key interface residues. [64][65][66] We generated DDG predictions for the Prime and MacroModel methods on this data set and utilized predictions using the Discovery Studio method previously determined. 63 The results of these DDG predictions are shown in Supplementary Table 6.…”
Section: Evaluation Of Prediction Methodsmentioning
confidence: 99%
“…This is similar to the hot-spot predictions to determine key interface residues. [64][65][66] We generated DDG predictions for the Prime and MacroModel methods on this data set and utilized predictions using the Discovery Studio method previously determined. 63 The results of these DDG predictions are shown in Supplementary Table 6.…”
Section: Evaluation Of Prediction Methodsmentioning
confidence: 99%
“…The most common targeted sites are: active sites, allosteric sites, and protein-protein interaction sites. [125, 126] These binding sites present different features, shape and dynamics that sometimes make them difficult to target. A growing number of promising allosteric drugs are showing that structure-based drug design efforts can usefully go beyond the active site region of the protein of interest.…”
Section: Mapping Of Druggable Binding Sitesmentioning
confidence: 99%
“…The rare amino acid residue tryptophan contributes in a disproportionally high frequency to short peptide motifs that mediate protein-protein interactions (54)(55)(56). In the large tegument proteins of the Alphaherpesvirinae, 21 of the 32 tryptophans are con-…”
Section: Discussionmentioning
confidence: 99%
“…Hot spots on protein surfaces are specific amino acid peptide motifs that contribute more than others to the binding affinity of protein-protein interaction interfaces (54)(55)(56). The composition of hot spots is distinctive and not random, with tryptophans (W) having the highest frequency; when tryptophan with its large hydrophobic surface is mutated to alanine (A), the size difference of these residues generates a cavity that creates a local destabilization (54,57,58 …”
mentioning
confidence: 99%