466 related articles for article (PubMed ID: 16020471)
1. SPEM: improving multiple sequence alignment with sequence profiles and predicted secondary structures.
Zhou H; Zhou Y
Bioinformatics; 2005 Sep; 21(18):3615-21. PubMed ID: 16020471
[TBL] [Abstract][Full Text] [Related]
2. PROMALS: towards accurate multiple sequence alignments of distantly related proteins.
Pei J; Grishin NV
Bioinformatics; 2007 Apr; 23(7):802-8. PubMed ID: 17267437
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. QOMA: quasi-optimal multiple alignment of protein sequences.
Zhang X; Kahveci T
Bioinformatics; 2007 Jan; 23(2):162-8. PubMed ID: 17121778
[TBL] [Abstract][Full Text] [Related]
5. MSAProbs: multiple sequence alignment based on pair hidden Markov models and partition function posterior probabilities.
Liu Y; Schmidt B; Maskell DL
Bioinformatics; 2010 Aug; 26(16):1958-64. PubMed ID: 20576627
[TBL] [Abstract][Full Text] [Related]
6. PROMALS web server for accurate multiple protein sequence alignments.
Pei J; Kim BH; Tang M; Grishin NV
Nucleic Acids Res; 2007 Jul; 35(Web Server issue):W649-52. PubMed ID: 17452345
[TBL] [Abstract][Full Text] [Related]
7. MUSTANG: a multiple structural alignment algorithm.
Konagurthu AS; Whisstock JC; Stuckey PJ; Lesk AM
Proteins; 2006 Aug; 64(3):559-74. PubMed ID: 16736488
[TBL] [Abstract][Full Text] [Related]
8. Probalign: multiple sequence alignment using partition function posterior probabilities.
Roshan U; Livesay DR
Bioinformatics; 2006 Nov; 22(22):2715-21. PubMed ID: 16954142
[TBL] [Abstract][Full Text] [Related]
9. An iterative refinement algorithm for consistency based multiple structural alignment methods.
Chen Y; Crippen GM
Bioinformatics; 2006 Sep; 22(17):2087-93. PubMed ID: 16809393
[TBL] [Abstract][Full Text] [Related]
10. A comparison of scoring functions for protein sequence profile alignment.
Edgar RC; Sjölander K
Bioinformatics; 2004 May; 20(8):1301-8. PubMed ID: 14962936
[TBL] [Abstract][Full Text] [Related]
11. Profile-based direct kernels for remote homology detection and fold recognition.
Rangwala H; Karypis G
Bioinformatics; 2005 Dec; 21(23):4239-47. PubMed ID: 16188929
[TBL] [Abstract][Full Text] [Related]
12. transAlign: using amino acids to facilitate the multiple alignment of protein-coding DNA sequences.
Bininda-Emonds OR
BMC Bioinformatics; 2005 Jun; 6():156. PubMed ID: 15969769
[TBL] [Abstract][Full Text] [Related]
13. SVM-HUSTLE--an iterative semi-supervised machine learning approach for pairwise protein remote homology detection.
Shah AR; Oehmen CS; Webb-Robertson BJ
Bioinformatics; 2008 Mar; 24(6):783-90. PubMed ID: 18245127
[TBL] [Abstract][Full Text] [Related]
14. Fast model-based protein homology detection without alignment.
Hochreiter S; Heusel M; Obermayer K
Bioinformatics; 2007 Jul; 23(14):1728-36. PubMed ID: 17488755
[TBL] [Abstract][Full Text] [Related]
15. Distant homology detection using a LEngth and STructure-based sequence Alignment Tool (LESTAT).
Lee MM; Bundschuh R; Chan MK
Proteins; 2008 May; 71(3):1409-19. PubMed ID: 18076050
[TBL] [Abstract][Full Text] [Related]
16. The M-Coffee web server: a meta-method for computing multiple sequence alignments by combining alternative alignment methods.
Moretti S; Armougom F; Wallace IM; Higgins DG; Jongeneel CV; Notredame C
Nucleic Acids Res; 2007 Jul; 35(Web Server issue):W645-8. PubMed ID: 17526519
[TBL] [Abstract][Full Text] [Related]
17. PFRES: protein fold classification by using evolutionary information and predicted secondary structure.
Chen K; Kurgan L
Bioinformatics; 2007 Nov; 23(21):2843-50. PubMed ID: 17942446
[TBL] [Abstract][Full Text] [Related]
18. Fold recognition by combining sequence profiles derived from evolution and from depth-dependent structural alignment of fragments.
Zhou H; Zhou Y
Proteins; 2005 Feb; 58(2):321-8. PubMed ID: 15523666
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. The influence of gapped positions in multiple sequence alignments on secondary structure prediction methods.
Simossis VA; Heringa J
Comput Biol Chem; 2004 Dec; 28(5-6):351-66. PubMed ID: 15556476
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]