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• W2799591485 abstract "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. Availability and implementation https://github.com/brgenzim/tmcrys Supplementary information Supplementary data are available at Bioinformatics online." @default.
• W2799591485 created "2018-05-17" @default.
• W2799591485 creator A5025649527 @default.
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• W2799591485 date "2018-04-26" @default.
• W2799591485 modified "2023-10-08" @default.
• W2799591485 title "TMCrys: predict propensity of success for transmembrane protein crystallization" @default.
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• W2799591485 doi "https://doi.org/10.1093/bioinformatics/bty342" @default.
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