128 related articles for article (PubMed ID: 21745480)
1. 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]
2. 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]
3. Contributions of residue pairing to beta-sheet formation: conservation and covariation of amino acid residue pairs on antiparallel beta-strands.
Mandel-Gutfreund Y; Zaremba SM; Gregoret LM
J Mol Biol; 2001 Feb; 305(5):1145-59. PubMed ID: 11162120
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. NdPASA: a novel pairwise protein sequence alignment algorithm that incorporates neighbor-dependent amino acid propensities.
Wang J; Feng JA
Proteins; 2005 Feb; 58(3):628-37. PubMed ID: 15616964
[TBL] [Abstract][Full Text] [Related]
7. Prediction and analysis of beta-turns in proteins by support vector machine.
Pham TH; Satou K; Ho TB
Genome Inform; 2003; 14():196-205. PubMed ID: 15706534
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Use of amino acid environment-dependent substitution tables and conformational propensities in structure prediction from aligned sequences of homologous proteins. II. Secondary structures.
Wako H; Blundell TL
J Mol Biol; 1994 May; 238(5):693-708. PubMed ID: 8182744
[TBL] [Abstract][Full Text] [Related]
10. Protein backbone angle prediction with machine learning approaches.
Kuang R; Leslie CS; Yang AS
Bioinformatics; 2004 Jul; 20(10):1612-21. PubMed ID: 14988121
[TBL] [Abstract][Full Text] [Related]
11. Fold recognition and accurate sequence-structure alignment of sequences directing beta-sheet proteins.
McDonnell AV; Menke M; Palmer N; King J; Cowen L; Berger B
Proteins; 2006 Jun; 63(4):976-85. PubMed ID: 16547930
[TBL] [Abstract][Full Text] [Related]
12. A machine learning information retrieval approach to protein fold recognition.
Cheng J; Baldi P
Bioinformatics; 2006 Jun; 22(12):1456-63. PubMed ID: 16547073
[TBL] [Abstract][Full Text] [Related]
13. Predicting protein secondary structure by a support vector machine based on a new coding scheme.
Wang LH; Liu J; Li YF; Zhou HB
Genome Inform; 2004; 15(2):181-90. PubMed ID: 15706504
[TBL] [Abstract][Full Text] [Related]
14. Aromatic side-chain interactions in proteins. II. Near- and far-sequence Phe-X pairs.
Thomas A; Meurisse R; Brasseur R
Proteins; 2002 Sep; 48(4):635-44. PubMed ID: 12211031
[TBL] [Abstract][Full Text] [Related]
15. A novel method of protein secondary structure prediction with high segment overlap measure: support vector machine approach.
Hua S; Sun Z
J Mol Biol; 2001 Apr; 308(2):397-407. PubMed ID: 11327775
[TBL] [Abstract][Full Text] [Related]
16. BuildBeta--a system for automatically constructing beta sheets.
Max N; Hu C; Kreylos O; Crivelli S
Proteins; 2010 Feb; 78(3):559-74. PubMed ID: 19768785
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Aromatic side-chain interactions in proteins. I. Main structural features.
Thomas A; Meurisse R; Charloteaux B; Brasseur R
Proteins; 2002 Sep; 48(4):628-34. PubMed ID: 12211030
[TBL] [Abstract][Full Text] [Related]
19. A 3D-1D substitution matrix for protein fold recognition that includes predicted secondary structure of the sequence.
Rice DW; Eisenberg D
J Mol Biol; 1997 Apr; 267(4):1026-38. PubMed ID: 9135128
[TBL] [Abstract][Full Text] [Related]
20. Fold recognition and ab initio structure predictions using hidden Markov models and beta-strand pair potentials.
Hubbard TJ; Park J
Proteins; 1995 Nov; 23(3):398-402. PubMed ID: 8710832
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
