Literature DB >> 19075747

Advances and pitfalls in protein structure prediction.

D Cozzetto1, A Tramontano.   

Abstract

Three dimensional protein structures are crucial for understanding biology at both molecular and system level. Despite the advances in experimental structural biology, the pace of sequence deposition into databanks considerably exceeds that of structure determination. Inevitably the functional annotation of genes and genomes requires the exploitation of bioinformatics methods for protein sequence comparison and structure prediction. Hence monitoring objectively the state of art of the field is of paramount importance, in order to make best use of computational protein models to address biological questions. This review describes some relevant issues in the field of structural bioinformatics, emphasizig both open basic questions and the progress being continuously achieved. It is reasonably expected that these bioinformatics methods will increasingly contribute to the biomedical, pharmaceutical and biotechnological research.

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Year:  2008        PMID: 19075747     DOI: 10.2174/138920308786733958

Source DB:  PubMed          Journal:  Curr Protein Pept Sci        ISSN: 1389-2037            Impact factor:   3.272


  2 in total

1.  Data mining approaches for genome-wide association of mood disorders.

Authors:  Mehdi Pirooznia; Fayaz Seifuddin; Jennifer Judy; Pamela B Mahon; James B Potash; Peter P Zandi
Journal:  Psychiatr Genet       Date:  2012-04       Impact factor: 2.458

2.  Protein structural model selection by combining consensus and single scoring methods.

Authors:  Zhiquan He; Meshari Alazmi; Jingfen Zhang; Dong Xu
Journal:  PLoS One       Date:  2013-09-02       Impact factor: 3.240

  2 in total

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