TMCrys

TMCrys predicts crystallization propensity of transmembrane proteins (TMPs) to support target selection for structural studies.


Key Features:

  • TMP specialization: Predicts crystallization propensity specifically for transmembrane proteins (TMPs).
  • Crystallization propensity prediction: Estimates likelihood of successful crystallization for TMP targets.
  • Improved predictive accuracy: Focuses exclusively on TMPs to address limitations of general crystallization prediction methods and enhance prediction accuracy.
  • Focus on TMP-specific characteristics: Developed with attention to the unique characteristics of transmembrane proteins.

Scientific Applications:

  • Target selection for structural studies: Predicts which TMPs are more likely to yield successful crystallization, supporting prioritization of targets for structure determination.
  • Prioritization of experiments and resources: Helps allocate experimental effort and resources toward TMPs with higher predicted crystallization success.
  • Support for therapeutic target characterization: Aids selection of TMPs for structural characterization that are potential therapeutic targets.

Methodology:

Leverages specialization for transmembrane proteins to inform prediction of crystallization propensity.

Topics

Details

License:
GPL-3.0
Tool Type:
command-line tool
Operating Systems:
Linux, Mac
Programming Languages:
R, Perl
Added:
6/1/2018
Last Updated:
11/25/2024

Operations

Publications

Varga JK, Tusnády GE. TMCrys: predict propensity of success for transmembrane protein crystallization. Bioinformatics. 2018;34(18):3126-3130. doi:10.1093/bioinformatics/bty342. PMID:29718100. PMCID:PMC6137969.

PMID: 29718100
PMCID: PMC6137969
Funding: - Hungarian Scientific Research Fund: K119287 - Hungarian Academy of Sciences: FIEK_16-1-2016-0005, LP2012/35 - National Research, Development and Innovation Fund: ÚNKP-16-2_VBK-016

Documentation