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Paper   IPM / Computer Science / 10943
School of Computer Science
  Title:   Impact of residue accessible surface area on the prediction of protein secondary structures
  Author(s): 
1.  A. Momen-Roknabadi
2.  M. Sadeghi
3.  H. Pezeshk
4.  S. A. Marashi
  Status:   Published
  Journal: BMC Bioinformatics
  Vol.:  9
  Year:  2008
  Supported by:  IPM
  Abstract:
The problem of accurate prediction of protein secondary structure continues to be one of the challenging problems in Bioinformatics. It has been previously suggested that amino acid relative solvent accessibility (RSA) might be an effective factor for increasing the accuracy of protein secondary structure prediction. Previous studies have either used a single constant threshold to classify residues into discrete classes (buries vs. exposed), or used the real-value predicted RSAs in their prediction method.

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