Literature DB >> 16046621

The implications of higher (or lower) success in secondary structure prediction of chain fragments.

Chung-Jung Tsai1, Ruth Nussinov.   

Abstract

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Year:  2005        PMID： 16046621      PMCID： PMC2279305          DOI： 10.1110/ps.051581805

Source DB:  PubMed          Journal:  Protein Sci        ISSN： 0961-8368            Impact factor:   6.725


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  9 in total

1.  A novel method of protein secondary structure prediction with high segment overlap measure: support vector machine approach.

Authors:  S Hua; Z Sun
Journal:  J Mol Biol       Date:  2001-04-27       Impact factor: 5.469

2.  Anatomy of protein structures: visualizing how a one-dimensional protein chain folds into a three-dimensional shape.

Authors:  C J Tsai; J V Maizel; R Nussinov
Journal:  Proc Natl Acad Sci U S A       Date:  2000-10-24       Impact factor: 11.205

3.  Secondary structure prediction with support vector machines.

Authors:  J J Ward; L J McGuffin; B F Buxton; D T Jones
Journal:  Bioinformatics       Date:  2003-09-01       Impact factor: 6.937

4.  Combining the GOR V algorithm with evolutionary information for protein secondary structure prediction from amino acid sequence.

Authors:  A Kloczkowski; K-L Ting; R L Jernigan; J Garnier
Journal:  Proteins       Date:  2002-11-01

5.  The effect of long-range interactions on the secondary structure formation of proteins.

Authors:  Daisuke Kihara
Journal:  Protein Sci       Date:  2005-06-29       Impact factor: 6.725

6.  Contact order, transition state placement and the refolding rates of single domain proteins.

Authors:  K W Plaxco; K T Simons; D Baker
Journal:  J Mol Biol       Date:  1998-04-10       Impact factor: 5.469

Review 7.  Empirical predictions of protein conformation.

Authors:  P Y Chou; G D Fasman
Journal:  Annu Rev Biochem       Date:  1978       Impact factor: 23.643

8.  Combining evolutionary information and neural networks to predict protein secondary structure.

Authors:  B Rost; C Sander
Journal:  Proteins       Date:  1994-05

9.  Analysis of the accuracy and implications of simple methods for predicting the secondary structure of globular proteins.

Authors:  J Garnier; D J Osguthorpe; B Robson
Journal:  J Mol Biol       Date:  1978-03-25       Impact factor: 5.469
  9 in total
  2 in total

1.  A Consensus Data Mining secondary structure prediction by combining GOR V and Fragment Database Mining.

Authors:  Taner Z Sen; Haitao Cheng; Andrzej Kloczkowski; Robert L Jernigan
Journal:  Protein Sci       Date:  2006-09-25       Impact factor: 6.725

2.  A generalized analysis of hydrophobic and loop clusters within globular protein sequences.

Authors:  Richard Eudes; Khanh Le Tuan; Jean Delettré; Jean-Paul Mornon; Isabelle Callebaut
Journal:  BMC Struct Biol       Date:  2007-01-08
  2 in total

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