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Items: 1 to 20 of 249

1.

Armadillo: domain boundary prediction by amino acid composition.

Dumontier M, Yao R, Feldman HJ, Hogue CW.

J Mol Biol. 2005 Jul 29;350(5):1061-73.

PMID:
15978619
2.

Domain boundary prediction based on profile domain linker propensity index.

Dong Q, Wang X, Lin L, Xu Z.

Comput Biol Chem. 2006 Apr;30(2):127-33. Epub 2006 Mar 13.

PMID:
16531120
4.

Characteristics and prediction of domain linker sequences in multi-domain proteins.

Tanaka T, Kuroda Y, Yokoyama S.

J Struct Funct Genomics. 2003;4(2-3):79-85.

PMID:
14649291
5.

An improved profile-level domain linker propensity index for protein domain boundary prediction.

Zhang Y, Liu B, Dong Q, Jin VX.

Protein Pept Lett. 2011 Jan;18(1):7-16.

PMID:
20955175
6.

Delineation of modular proteins: domain boundary prediction from sequence information.

Kong L, Ranganathan S.

Brief Bioinform. 2004 Jun;5(2):179-92.

PMID:
15260897
7.

SnapDRAGON: a method to delineate protein structural domains from sequence data.

George RA, Heringa J.

J Mol Biol. 2002 Feb 22;316(3):839-51.

PMID:
11866536
8.

DomNet: protein domain boundary prediction using enhanced general regression network and new profiles.

Yoo PD, Sikder AR, Taheri J, Zhou BB, Zomaya AY.

IEEE Trans Nanobioscience. 2008 Jun;7(2):172-81. doi: 10.1109/TNB.2008.2000747.

PMID:
18556265
9.

Prediction of number and position of domain boundaries in multi-domain proteins by use of amino acid sequence alone.

Dovidchenko NV, Lobanov MY, Galzitskaya OV.

Curr Protein Pept Sci. 2007 Apr;8(2):189-95. Review.

PMID:
17430200
10.

Characterization and prediction of linker sequences of multi-domain proteins by a neural network.

Miyazaki S, Kuroda Y, Yokoyama S.

J Struct Funct Genomics. 2002;2(1):37-51.

PMID:
12836673
11.

Automated prediction of domain boundaries in CASP6 targets using Ginzu and RosettaDOM.

Kim DE, Chivian D, Malmström L, Baker D.

Proteins. 2005;61 Suppl 7:193-200.

PMID:
16187362
12.

[Prediction of protein domain boundaries based on statistics of appearance of amino acid residues].

Galzitskaia OV, Dovidchenko NV, Lobanov MIu, Garbuzinskiń≠ SA.

Mol Biol (Mosk). 2006 Jan-Feb;40(1):111-21. Russian.

PMID:
16523698
13.

DomCut: prediction of inter-domain linker regions in amino acid sequences.

Suyama M, Ohara O.

Bioinformatics. 2003 Mar 22;19(5):673-4.

PMID:
12651735
14.
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16.

CATHEDRAL: a fast and effective algorithm to predict folds and domain boundaries from multidomain protein structures.

Redfern OC, Harrison A, Dallman T, Pearl FM, Orengo CA.

PLoS Comput Biol. 2007 Nov;3(11):e232.

17.

Improvement of domain linker prediction by incorporating loop-length-dependent characteristics.

Tanaka T, Yokoyama S, Kuroda Y.

Biopolymers. 2006;84(2):161-8.

PMID:
16134173
18.

PPRODO: prediction of protein domain boundaries using neural networks.

Sim J, Kim SY, Lee J.

Proteins. 2005 May 15;59(3):627-32.

PMID:
15789433
19.

Protein structure prediction based on sequence similarity.

Jaroszewski L.

Methods Mol Biol. 2009;569:129-56. doi: 10.1007/978-1-59745-524-4_7.

PMID:
19623489
20.

AutoSCOP: automated prediction of SCOP classifications using unique pattern-class mappings.

Gewehr JE, Hintermair V, Zimmer R.

Bioinformatics. 2007 May 15;23(10):1203-10. Epub 2007 Mar 22.

PMID:
17379694

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