ThermoMutDB: a thermodynamic database for missense mutations.

ABSTRACT: Proteins are intricate, dynamic structures, and small changes in their amino acid sequences can lead to large effects on their folding, stability and dynamics. To facilitate the further development and evaluation of methods to predict these changes, we have developed ThermoMutDB, a manually curated database containing >14,669 experimental data of thermodynamic parameters for wild type and mutant proteins. This represents an increase of 83% in unique mutations over previous databases and includes thermodynamic information on 204 new proteins. During manual curation we have also corrected annotation errors in previously curated entries. Associated with each entry, we have included information on the unfolding Gibbs free energy and melting temperature change, and have associated entries with

SUBMITTER: Xavier JS 

PROVIDER: S-EPMC7778973 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature