223 related articles for article (PubMed ID: 19429599)
21. 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]
22. Structure-based evaluation of sequence comparison and fold recognition alignment accuracy.
Domingues FS; Lackner P; Andreeva A; Sippl MJ
J Mol Biol; 2000 Apr; 297(4):1003-13. PubMed ID: 10736233
[TBL] [Abstract][Full Text] [Related]
23. Fold recognition by combining profile-profile alignment and support vector machine.
Han S; Lee BC; Yu ST; Jeong CS; Lee S; Kim D
Bioinformatics; 2005 Jun; 21(11):2667-73. PubMed ID: 15769835
[TBL] [Abstract][Full Text] [Related]
24. Optimizing the size of the sequence profiles to increase the accuracy of protein sequence alignments generated by profile-profile algorithms.
Poleksic A; Fienup M
Bioinformatics; 2008 May; 24(9):1145-53. PubMed ID: 18337259
[TBL] [Abstract][Full Text] [Related]
25. Remote homology detection using a kernel method that combines sequence and secondary-structure similarity scores.
Wieser D; Niranjan M
In Silico Biol; 2009; 9(3):89-103. PubMed ID: 19795568
[TBL] [Abstract][Full Text] [Related]
26. On single and multiple models of protein families for the detection of remote sequence relationships.
Casbon JA; Saqi MA
BMC Bioinformatics; 2006 Jan; 7():48. PubMed ID: 16448555
[TBL] [Abstract][Full Text] [Related]
27. A generalized affine gap model significantly improves protein sequence alignment accuracy.
Zachariah MA; Crooks GE; Holbrook SR; Brenner SE
Proteins; 2005 Feb; 58(2):329-38. PubMed ID: 15562515
[TBL] [Abstract][Full Text] [Related]
28. Analysis of superfamily specific profile-profile recognition accuracy.
Casbon JA; Saqi MA
BMC Bioinformatics; 2004 Dec; 5():200. PubMed ID: 15603591
[TBL] [Abstract][Full Text] [Related]
29. Targeting novel folds for structural genomics.
McGuffin LJ; Jones DT
Proteins; 2002 Jul; 48(1):44-52. PubMed ID: 12012336
[TBL] [Abstract][Full Text] [Related]
30. SSEP-Domain: protein domain prediction by alignment of secondary structure elements and profiles.
Gewehr JE; Zimmer R
Bioinformatics; 2006 Jan; 22(2):181-7. PubMed ID: 16267083
[TBL] [Abstract][Full Text] [Related]
31. A Shannon entropy-based filter detects high- quality profile-profile alignments in searches for remote homologues.
Capriotti E; Fariselli P; Rossi I; Casadio R
Proteins; 2004 Feb; 54(2):351-60. PubMed ID: 14696197
[TBL] [Abstract][Full Text] [Related]
32. Fast and accurate automatic structure prediction with HHpred.
Hildebrand A; Remmert M; Biegert A; Söding J
Proteins; 2009; 77 Suppl 9():128-32. PubMed ID: 19626712
[TBL] [Abstract][Full Text] [Related]
33. Prediction of protein subcellular localization.
Yu CS; Chen YC; Lu CH; Hwang JK
Proteins; 2006 Aug; 64(3):643-51. PubMed ID: 16752418
[TBL] [Abstract][Full Text] [Related]
34. SnapDRAGON: a method to delineate protein structural domains from sequence data.
George RA; Heringa J
J Mol Biol; 2002 Feb; 316(3):839-51. PubMed ID: 11866536
[TBL] [Abstract][Full Text] [Related]
35. Discrimination of outer membrane proteins using support vector machines.
Park KJ; Gromiha MM; Horton P; Suwa M
Bioinformatics; 2005 Dec; 21(23):4223-9. PubMed ID: 16204348
[TBL] [Abstract][Full Text] [Related]
36. The SUPERFAMILY database in 2004: additions and improvements.
Madera M; Vogel C; Kummerfeld SK; Chothia C; Gough J
Nucleic Acids Res; 2004 Jan; 32(Database issue):D235-9. PubMed ID: 14681402
[TBL] [Abstract][Full Text] [Related]
37. Protein structure prediction of CASP5 comparative modeling and fold recognition targets using consensus alignment approach and 3D assessment.
Ginalski K; Rychlewski L
Proteins; 2003; 53 Suppl 6():410-7. PubMed ID: 14579329
[TBL] [Abstract][Full Text] [Related]
38. Protein structure prediction constrained by solution X-ray scattering data and structural homology identification.
Zheng W; Doniach S
J Mol Biol; 2002 Feb; 316(1):173-87. PubMed ID: 11829511
[TBL] [Abstract][Full Text] [Related]
39. Comparison of linear gap penalties and profile-based variable gap penalties in profile-profile alignments.
Wang C; Yan RX; Wang XF; Si JN; Zhang Z
Comput Biol Chem; 2011 Oct; 35(5):308-18. PubMed ID: 22000802
[TBL] [Abstract][Full Text] [Related]
40. Application of nonnegative matrix factorization to improve profile-profile alignment features for fold recognition and remote homolog detection.
Jung I; Lee J; Lee SY; Kim D
BMC Bioinformatics; 2008 Jul; 9():298. PubMed ID: 18590572
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]