CCHMM_PROF: a HMM-based coiled-coil predictor with evolutionary information | Zendy

Lisa Bartoli | Zendy; Piero Fariselli | Zendy; Anders Krogh | Zendy; Rita Casadio | Zendy

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CCHMM_PROF: a HMM-based coiled-coil predictor with evolutionary information

Author(s) -

Lisa Bartoli,

Piero Fariselli,

Anders Krogh,

Rita Casadio

Publication year - 2009

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btp539

Subject(s) - coiled coil , computer science , false positive paradox , hidden markov model , artificial intelligence , pattern recognition (psychology) , electromagnetic coil , computational biology , data mining , biology , physics , biochemistry , quantum mechanics

The widespread coiled-coil structural motif in proteins is known to mediate a variety of biological interactions. Recognizing a coiled-coil containing sequence and locating its coiled-coil domains are key steps towards the determination of the protein structure and function. Different tools are available for predicting coiled-coil domains in protein sequences, including those based on position-specific score matrices and machine learning methods.

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