TMCrys: Predict propensity of success for transmembrane protein crystallization

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Abstract

Motivation: 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. Results: 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.

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Varga, J. K., & Tusnády, G. E. (2018). TMCrys: Predict propensity of success for transmembrane protein crystallization. Bioinformatics, 34(18), 3126–3130. https://doi.org/10.1093/bioinformatics/bty342

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