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Items: 1 to 20 of 101

1.

Identification of an ideal-like fingerprint for a protein fold using overlapped conserved residues based approach.

Goyal A, Sokalingam S, Hwang KS, Lee SG.

Sci Rep. 2014 Jul 10;4:5643. doi: 10.1038/srep05643.

3.

Identification of novel cupredoxin homologs using overlapped conserved residues based approach.

Goyal A, Madan B, Hwang KS, Lee SG.

J Microbiol Biotechnol. 2015 Jan;25(1):127-36.

4.

Extracting hydrogen-bond signature patterns from protein structure data.

Prasad T, Subramanian T, Hariharaputran S, Chaitra HS, Chandra N.

Appl Bioinformatics. 2004;3(2-3):125-35.

PMID:
15693738
5.

Accuracy of structure-based sequence alignment of automatic methods.

Kim C, Lee B.

BMC Bioinformatics. 2007 Sep 20;8:355.

6.
7.

Fold-recognition detects an error in the Protein Data Bank.

Bujnicki J, Rychlewski L, Fischer D.

Bioinformatics. 2002 Oct;18(10):1391-5. No abstract available.

8.

Detection of hydrogen-bond signature patterns in protein families.

Prasad T, Prathima MN, Chandra N.

Bioinformatics. 2003 Jan;19(1):167-8.

9.

PROMALS: towards accurate multiple sequence alignments of distantly related proteins.

Pei J, Grishin NV.

Bioinformatics. 2007 Apr 1;23(7):802-8. Epub 2007 Jan 31.

10.
11.

Protein fold recognition by mapping predicted secondary structures.

Russell RB, Copley RR, Barton GJ.

J Mol Biol. 1996 Jun 14;259(3):349-65.

PMID:
8676374
12.

Computational approaches for identification of conserved/unique binding pockets in the A chain of ricin.

Zhou CL, Zemla AT, Roe D, Young M, Lam M, Schoeniger JS, Balhorn R.

Bioinformatics. 2005 Jul 15;21(14):3089-96. Epub 2005 May 19.

13.

Hierarchical learning architecture with automatic feature selection for multiclass protein fold classification.

Huang CD, Lin CT, Pal NR.

IEEE Trans Nanobioscience. 2003 Dec;2(4):221-32.

PMID:
15376912
14.
15.

Joint evolutionary trees: a large-scale method to predict protein interfaces based on sequence sampling.

Engelen S, Trojan LA, Sacquin-Mora S, Lavery R, Carbone A.

PLoS Comput Biol. 2009 Jan;5(1):e1000267. doi: 10.1371/journal.pcbi.1000267. Epub 2009 Jan 23.

16.
17.

Blast sampling for structural and functional analyses.

Friedrich A, Ripp R, Garnier N, Bettler E, Deléage G, Poch O, Moulinier L.

BMC Bioinformatics. 2007 Feb 23;8:62.

18.
19.

Finding of residues crucial for supersecondary structure formation.

Kister AE, Gelfand I.

Proc Natl Acad Sci U S A. 2009 Nov 10;106(45):18996-9000. doi: 10.1073/pnas.0909714106. Epub 2009 Oct 23.

20.

Sequence based residue depth prediction using evolutionary information and predicted secondary structure.

Zhang H, Zhang T, Chen K, Shen S, Ruan J, Kurgan L.

BMC Bioinformatics. 2008 Sep 20;9:388. doi: 10.1186/1471-2105-9-388.

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