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Identification of structurally conserved residues of proteins in absence of structural homologs using neural network ensemble

Motivation: So far various bioinformatics and machine learning techniques applied for identification of sequence and functionally conserved residues in proteins. Although few computational methods are available for the prediction of structurally conserved residues from protein structure, almost all...

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書誌詳細
主要な著者: Pugalenthi, Ganesan, Tang, Ke, Suganthan, P. N., Chakrabarti, Saikat
フォーマット: Artigo
言語:Inglês
出版事項: Oxford University Press 2009
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC2638999/
https://ncbi.nlm.nih.gov/pubmed/19038986
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btn618
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