TMCrys: predict propensity of success for transmembrane protein crystallization.

Varga, Julia K; Tusnády, Gábor E · Bioinformatics · 2018

basic_science · Level V

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Abstract

Transmembrane proteins (TMPs) are crucial in the life of the cells. As they have special properties, their structure is hard to determine--the PDB database consists of 2% TMPs, despite the fact that they are predicted to make up to 25% of the human proteome. Crystallization prediction methods were developed to aid the target selection for structure determination, however, there is a need for a TMP specific service. Here, we present TMCrys, a crystallization prediction method that surpasses existing prediction methods in performance thanks to its specialization for TMPs. We expect TMCrys to improve target selection of TMPs. https://github.com/brgenzim/tmcrys. Supplementary data are available at Bioinformatics online.

Medical subject headings