113 related articles for article (PubMed ID: 18391242)
1. BETTY: prediction of beta-strand type from sequence.
Zimmermann O; Wang L; Hansmann UH
In Silico Biol; 2007; 7(4-5):535-42. PubMed ID: 18391242
[TBL] [Abstract][Full Text] [Related]
2. Support vector machines for prediction of dihedral angle regions.
Zimmermann O; Hansmann UH
Bioinformatics; 2006 Dec; 22(24):3009-15. PubMed ID: 17005536
[TBL] [Abstract][Full Text] [Related]
3. Prediction of strand pairing in antiparallel and parallel beta-sheets using information theory.
Steward RE; Thornton JM
Proteins; 2002 Aug; 48(2):178-91. PubMed ID: 12112687
[TBL] [Abstract][Full Text] [Related]
4. Pairwise covariance adds little to secondary structure prediction but improves the prediction of non-canonical local structure.
Bystroff C; Webb-Robertson BJ
BMC Bioinformatics; 2008 Oct; 9():429. PubMed ID: 18847485
[TBL] [Abstract][Full Text] [Related]
5. LOCUSTRA: accurate prediction of local protein structure using a two-layer support vector machine approach.
Zimmermann O; Hansmann UH
J Chem Inf Model; 2008 Sep; 48(9):1903-8. PubMed ID: 18763837
[TBL] [Abstract][Full Text] [Related]
6. The interstrand amino acid pairs play a significant role in determining the parallel or antiparallel orientation of beta-strands.
Zhang N; Ruan J; Duan G; Gao S; Zhang T
Biochem Biophys Res Commun; 2009 Aug; 386(3):537-43. PubMed ID: 19540200
[TBL] [Abstract][Full Text] [Related]
7. Strand-loop-strand motifs: prediction of hairpins and diverging turns in proteins.
Kuhn M; Meiler J; Baker D
Proteins; 2004 Feb; 54(2):282-8. PubMed ID: 14696190
[TBL] [Abstract][Full Text] [Related]
8. Prediction of the parallel/antiparallel orientation of beta-strands using amino acid pairing preferences and support vector machines.
Zhang N; Duan G; Gao S; Ruan J; Zhang T
J Theor Biol; 2010 Apr; 263(3):360-8. PubMed ID: 20035768
[TBL] [Abstract][Full Text] [Related]
9. Application of machine learning to structural molecular biology.
Sternberg MJ; King RD; Lewis RA; Muggleton S
Philos Trans R Soc Lond B Biol Sci; 1994 Jun; 344(1310):365-71. PubMed ID: 7800706
[TBL] [Abstract][Full Text] [Related]
10. Support vector machines for the classification and prediction of beta-turn types.
Cai YD; Liu XJ; Xu XB; Chou KC
J Pept Sci; 2002 Jul; 8(7):297-301. PubMed ID: 12148778
[TBL] [Abstract][Full Text] [Related]
11. Parallel and antiparallel β-strands differ in amino acid composition and availability of short constituent sequences.
Tsutsumi M; Otaki JM
J Chem Inf Model; 2011 Jun; 51(6):1457-64. PubMed ID: 21520893
[TBL] [Abstract][Full Text] [Related]
12. Prediction of protein secondary structure content for the twilight zone sequences.
Homaeian L; Kurgan LA; Ruan J; Cios KJ; Chen K
Proteins; 2007 Nov; 69(3):486-98. PubMed ID: 17623861
[TBL] [Abstract][Full Text] [Related]
13. Prediction of protein structural class using novel evolutionary collocation-based sequence representation.
Chen K; Kurgan LA; Ruan J
J Comput Chem; 2008 Jul; 29(10):1596-604. PubMed ID: 18293306
[TBL] [Abstract][Full Text] [Related]
14. Better prediction of the location of alpha-turns in proteins with support vector machine.
Wang Y; Xue Z; Xu J
Proteins; 2006 Oct; 65(1):49-54. PubMed ID: 16894602
[TBL] [Abstract][Full Text] [Related]
15. Prediction of protein structure class by coupling improved genetic algorithm and support vector machine.
Li ZC; Zhou XB; Lin YR; Zou XY
Amino Acids; 2008 Oct; 35(3):581-90. PubMed ID: 18427714
[TBL] [Abstract][Full Text] [Related]
16. Three-stage prediction of protein beta-sheets by neural networks, alignments and graph algorithms.
Cheng J; Baldi P
Bioinformatics; 2005 Jun; 21 Suppl 1():i75-84. PubMed ID: 15961501
[TBL] [Abstract][Full Text] [Related]
17. Studies on the rules of β-strand alignment in a protein β-sheet structure.
Zhang L; Zhang N; Ruan JS; Zhang T
J Theor Biol; 2011 Sep; 285(1):69-76. PubMed ID: 21745480
[TBL] [Abstract][Full Text] [Related]
18. Prediction of turn types in protein structure by machine-learning classifiers.
Meissner M; Koch O; Klebe G; Schneider G
Proteins; 2009 Feb; 74(2):344-52. PubMed ID: 18618702
[TBL] [Abstract][Full Text] [Related]
19. A machine learning based method for the prediction of secretory proteins using amino acid composition, their order and similarity-search.
Garg A; Raghava GP
In Silico Biol; 2008; 8(2):129-40. PubMed ID: 18928201
[TBL] [Abstract][Full Text] [Related]
20. Prediction of beta-sheet topology and disulfide bridges in polypeptides.
Klepeis JL; Floudas CA
J Comput Chem; 2003 Jan; 24(2):191-208. PubMed ID: 12497599
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]