SKEMPI: a Structural Kinetic and Energetic database of Mutant Protein Interactions and its use in empirical models
Author(s) -
Iain H. Moal,
Juan FernándezRecio
Publication year - 2012
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bts489
Subject(s) - database , context (archaeology) , construct (python library) , computer science , mutation , computational biology , data mining , biology , genetics , gene , paleontology , programming language
Empirical models for the prediction of how changes in sequence alter protein-protein binding kinetics and thermodynamics can garner insights into many aspects of molecular biology. However, such models require empirical training data and proper validation before they can be widely applied. Previous databases contained few stabilizing mutations and no discussion of their inherent biases or how this impacts model construction or validation.
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