Kinetics analysis methods for approximate folding landscapes | Zendy

Lydia Tapia | Zendy; Xinyu Tang | Zendy; Shawna Thomas | Zendy; Nancy M. Amato | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Kinetics analysis methods for approximate folding landscapes

Author(s) -

Lydia Tapia,

Xinyu Tang,

Shawna Thomas,

Nancy M. Amato

Publication year - 2007

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/btm199

Subject(s) - folding (dsp implementation) , protein folding , population , monte carlo method , biological system , kinetics , statistical physics , downhill folding , master equation , helix (gastropod) , energy landscape , chemistry , computer science , phi value analysis , physics , mathematics , thermodynamics , biology , statistics , ecology , biochemistry , demography , quantum mechanics , sociology , snail , electrical engineering , quantum , engineering

Protein motions play an essential role in many biochemical processes. Lab studies often quantify these motions in terms of their kinetics such as the speed at which a protein folds or the population of certain interesting states like the native state. Kinetic metrics give quantifiable measurements of the folding process that can be compared across a group of proteins such as a wild-type protein and its mutants.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research