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Results: 1 to 20 of 122

Related Citations for PubMed (Select 18450811)

1.

Characterization and prediction of residues determining protein functional specificity.

Capra JA, Singh M.

Bioinformatics. 2008 Jul 1;24(13):1473-80. doi: 10.1093/bioinformatics/btn214. Epub 2008 May 1.

2.

SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition.

Melvin I, Ie E, Kuang R, Weston J, Stafford WN, Leslie C.

BMC Bioinformatics. 2007 May 22;8 Suppl 4:S2.

3.

Predicting functionally important residues from sequence conservation.

Capra JA, Singh M.

Bioinformatics. 2007 Aug 1;23(15):1875-82. Epub 2007 May 22.

4.

Automated discovery of 3D motifs for protein function annotation.

Polacco BJ, Babbitt PC.

Bioinformatics. 2006 Mar 15;22(6):723-30. Epub 2006 Jan 12.

5.

Multi-RELIEF: a method to recognize specificity determining residues from multiple sequence alignments using a Machine-Learning approach for feature weighting.

Ye K, Feenstra KA, Heringa J, Ijzerman AP, Marchiori E.

Bioinformatics. 2008 Jan 1;24(1):18-25. Epub 2007 Nov 17.

6.

Automated protein subfamily identification and classification.

Brown DP, Krishnamurthy N, Sjölander K.

PLoS Comput Biol. 2007 Aug;3(8):e160.

7.

Enhanced recognition of protein transmembrane domains with prediction-based structural profiles.

Cao B, Porollo A, Adamczak R, Jarrell M, Meller J.

Bioinformatics. 2006 Feb 1;22(3):303-9. Epub 2005 Nov 17.

8.

SCPRED: accurate prediction of protein structural class for sequences of twilight-zone similarity with predicting sequences.

Kurgan L, Cios K, Chen K.

BMC Bioinformatics. 2008 May 1;9:226. doi: 10.1186/1471-2105-9-226.

9.

Efficient algorithms for accurate hierarchical clustering of huge datasets: tackling the entire protein space.

Loewenstein Y, Portugaly E, Fromer M, Linial M.

Bioinformatics. 2008 Jul 1;24(13):i41-9. doi: 10.1093/bioinformatics/btn174.

10.

Prediction of functional specificity determinants from protein sequences using log-likelihood ratios.

Pei J, Cai W, Kinch LN, Grishin NV.

Bioinformatics. 2006 Jan 15;22(2):164-71. Epub 2005 Nov 8.

11.

Predicting disulfide connectivity from protein sequence using multiple sequence feature vectors and secondary structure.

Song J, Yuan Z, Tan H, Huber T, Burrage K.

Bioinformatics. 2007 Dec 1;23(23):3147-54. Epub 2007 Oct 17.

12.

HYPLOSP: a knowledge-based approach to protein local structure prediction.

Chen CT, Lin HN, Sung TY, Hsu WL.

J Bioinform Comput Biol. 2006 Dec;4(6):1287-307.

PMID:
17245815
13.
14.

Bayesian search of functionally divergent protein subgroups and their function specific residues.

Marttinen P, Corander J, Törönen P, Holm L.

Bioinformatics. 2006 Oct 15;22(20):2466-74. Epub 2006 Jul 26.

15.

Predicting protein structure classes from function predictions.

Sommer I, Rahnenführer J, Domingues FS, de Lichtenberg U, Lengauer T.

Bioinformatics. 2004 Mar 22;20(5):770-6. Epub 2004 Jan 29.

16.

POODLE-L: a two-level SVM prediction system for reliably predicting long disordered regions.

Hirose S, Shimizu K, Kanai S, Kuroda Y, Noguchi T.

Bioinformatics. 2007 Aug 15;23(16):2046-53. Epub 2007 Jun 1.

17.

Combining specificity determining and conserved residues improves functional site prediction.

Kalinina OV, Gelfand MS, Russell RB.

BMC Bioinformatics. 2009 Jun 9;10:174. doi: 10.1186/1471-2105-10-174.

18.

A novel method for estimating ancestral amino acid composition and its application to proteins of the Last Universal Ancestor.

Brooks DJ, Fresco JR, Singh M.

Bioinformatics. 2004 Sep 22;20(14):2251-7. Epub 2004 Apr 8.

19.

Efficient functional clustering of protein sequences using the Dirichlet process.

Brown DP.

Bioinformatics. 2008 Aug 15;24(16):1765-71. doi: 10.1093/bioinformatics/btn244. Epub 2008 May 29.

20.

A structural alignment kernel for protein structures.

Qiu J, Hue M, Ben-Hur A, Vert JP, Noble WS.

Bioinformatics. 2007 May 1;23(9):1090-8. Epub 2007 Jan 18.

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