Predicting folding free energy changes upon single point mutations | Zendy

Zhe Zhang | Zendy; Lin Wang | Zendy; Yang Gao | Zendy; Jie Zhang | Zendy; Maksym Zhenirovskyy | Zendy; Emil Alexov | Zendy

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Predicting folding free energy changes upon single point mutations

Author(s) -

Zhe Zhang,

Lin Wang,

Yang Gao,

Jie Zhang,

Maksym Zhenirovskyy,

Emil Alexov

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/bts005

Subject(s) - folding (dsp implementation) , protein data bank (rcsb pdb) , point mutation , protein folding , mutation , stability (learning theory) , in silico , missense mutation , computational biology , genetics , biological system , computer science , biology , biochemistry , gene , machine learning , electrical engineering , engineering

The folding free energy is an important characteristic of proteins stability and is directly related to protein's wild-type function. The changes of protein's stability due to naturally occurring mutations, missense mutations, are typically causing diseases. Single point mutations made in vitro are frequently used to assess the contribution of given amino acid to the stability of the protein. In both cases, it is desirable to predict the change of the folding free energy upon single point mutations in order to either provide insights of the molecular mechanism of the change or to design new experimental studies.

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