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FINDSITE-metal: Integrating evolutionary information and machine learning for structure-based metal binding site prediction at the proteome level

The rapid accumulation of gene sequences, many of which are hypothetical proteins with unknown function, has stimulated the development of accurate computational tools for protein function prediction with evolution/structure-based approaches showing considerable promise. In this paper, we present FI...

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書誌詳細
主要な著者: Brylinski, Michal, Skolnick, Jeffrey
フォーマット: Artigo
言語:Inglês
出版事項: 2010
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC3060289/
https://ncbi.nlm.nih.gov/pubmed/21287609
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/prot.22913
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