Computational alanine scanning of protein-protein interfaces

TitleComputational alanine scanning of protein-protein interfaces
Publication TypeJournal Article
Year of Publication2004
AuthorsKortemme, T., Kim D. E., & Baker D.
JournalScience's STKE
Volume2004
Issue219
Paginationpl2
Date Published2004 Feb 10
ISSN1525-8882
KeywordsAlanine, Antigens, CD, Computational Biology, Cytokine Receptor gp130, Cytokines, Databases, Protein, Histocompatibility Antigens Class I, Immunoglobulin Fc Fragments, Immunoglobulin G, Ligands, Macromolecular Substances, Membrane Glycoproteins, Mutation, Predictive Value of Tests, Primary Publication, Protein Interaction Mapping, Protein Structure, Quaternary, Receptors, Immunologic, Receptors, Natural Killer Cell, Software Design, Thermodynamics
Abstract

Protein-protein interactions are key components of all signal transduction processes, so methods to alter these interactions promise to become important tools in dissecting function of connectivities in these networks. We have developed a fast computational approach for the prediction of energetically important amino acid residues in protein-protein interfaces (available at http://robetta.bakerlab.org/alaninescan), which we, following Peter Kollman, have termed "computational alanine scanning." The input consists of a three-dimensional structure of a protein-protein complex; output is a list of "hot spots," or amino acid side chains that are predicted to significantly destabilize the interface when mutated to alanine, analogous to the results of experimental alanine-scanning mutagenesis. 79% of hot spots and 68% of neutral residues were correctly predicted in a test of 233 mutations in 19 protein-protein complexes. A single interface can be analyzed in minutes. The computational methodology has been validated by the successful design of protein interfaces with new specificity and activity, and has yielded new insights into the mechanisms of receptor specificity and promiscuity in biological systems.

Alternate JournalSci. STKE
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