Predicting Crystallization Propensity of Proteins from Arabidopsis Thaliana.

ABSTRACT:

Background

Many studies have correlated characteristics of amino acids with crystallization propensity, as part of the effort to determine the factors that affect the propensity of protein crystallization. However, these characteristics are constant; that is, the encoded amino acid sequences have the same value for each type of amino acid. To overcome this inflexibility, three dynamic characteristics of amino acids and protein were introduced to analyze the crystallization propensity of proteins. Both logistic regression and neural network models were used to correlate each of two dynamic characteristics with the crystallization propensity of 301 proteins from Arabidopsis thaliana, and their results were compared with those obtained from each of 531 constant amino acid characterist

SUBMITTER: Yan S 

PROVIDER: S-EPMC4657326 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature