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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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| Главные авторы: | , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2010
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| Предметы: | |
| Online-ссылка: | 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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