Literature DB >> 18629085

Comparative modelling techniques: where are we?

Anna Tramontano1.   

Abstract

The enormous increase in data availability brought about by genomic projects is paralleled by an equally unprecedented increase in the expectations for new medical, pharmacological, environmental and biotechnological discoveries. Whether or not we will be able to meet (at least partially) these expectations will depend on how well we will be able to interpret the data and translate the mono-dimensional information encrypted in genomes into a detailed understanding of its biological meaning at the phenotypic level. The process is far from being trivial, and the obstacles along the road are formidable: even the problem of identifying coding regions in eukaryotic genomes is not completely solved. Far more complex is identification of the function of the encoded proteins, and this will probably represent the most challenging problem for the next generations of scientists.

Year:  2003        PMID: 18629085      PMCID: PMC2447371          DOI: 10.1002/cfg.306

Source DB:  PubMed          Journal:  Comp Funct Genomics        ISSN: 1531-6912


  3 in total

1.  Analysis and assessment of comparative modeling predictions in CASP4.

Authors:  A Tramontano; R Leplae; V Morea
Journal:  Proteins       Date:  2001

2.  Studies on the structural basis of ribonuclease activity.

Authors:  C B ANFINSEN; W F HARRINGTON; A HVIDT; K LINDERSTRØM-LANG; M OTTESEN; J SCHELLMAN
Journal:  Biochim Biophys Acta       Date:  1955-05

Review 3.  Protein structure: what is it possible to predict now?

Authors:  A V Finkelstein
Journal:  Curr Opin Struct Biol       Date:  1997-02       Impact factor: 6.809

  3 in total
  1 in total

1.  Fast and accurate methods for predicting short-range constraints in protein models.

Authors:  Dominik Gront; Andrzej Kolinski
Journal:  J Comput Aided Mol Des       Date:  2008-04-15       Impact factor: 3.686

  1 in total

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