TMCrys: predict propensity of success for transmembrane protein crystallization.
basic_science · Level V
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- Record sourced from PubMed, PMID 29718100.
- Also identified by DOI 10.1093/bioinformatics/bty342 and PMC identifier 6137969.
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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
- Membrane Proteins