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An Integrative Computational Framework Based on a Two-Step Random Forest Algorithm Improves Prediction of Zinc-Binding Sites in Proteins

Zinc-binding proteins are the most abundant metalloproteins in the Protein Data Bank where the zinc ions usually have catalytic, regulatory or structural roles critical for the function of the protein. Accurate prediction of zinc-binding sites is not only useful for the inference of protein function...

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Detalhes bibliográficos
Main Authors: Zheng, Cheng, Wang, Mingjun, Takemoto, Kazuhiro, Akutsu, Tatsuya, Zhang, Ziding, Song, Jiangning
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2012
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3499040/
https://ncbi.nlm.nih.gov/pubmed/23166753
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0049716
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