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Items: 1 to 20 of 97

1.

Function prediction of hypothetical proteins without sequence similarity to proteins of known function.

Kannan S, Hauth AM, Burger G.

Protein Pept Lett. 2008;15(10):1107-16.

PMID:
19075823
2.

Recent progresses in the application of machine learning approach for predicting protein functional class independent of sequence similarity.

Han L, Cui J, Lin H, Ji Z, Cao Z, Li Y, Chen Y.

Proteomics. 2006 Jul;6(14):4023-37. Review.

PMID:
16791826
5.
6.

Unassigned MURF1 of kinetoplastids codes for NADH dehydrogenase subunit 2.

Kannan S, Burger G.

BMC Genomics. 2008 Oct 2;9:455. doi: 10.1186/1471-2164-9-455.

7.

Prediction of functional class of novel plant proteins by a statistical learning method.

Han LY, Zheng CJ, Lin HH, Cui J, Li H, Zhang HL, Tang ZQ, Chen YZ.

New Phytol. 2005 Oct;168(1):109-21.

8.

Prediction of functional class of novel bacterial proteins without the use of sequence similarity by a statistical learning method.

Cui J, Han LY, Cai CZ, Zheng CJ, Ji ZL, Chen YZ.

J Mol Microbiol Biotechnol. 2005;9(2):86-100.

PMID:
16319498
9.

Homology-free prediction of functional class of proteins and peptides by support vector machines.

Zhu F, Han LY, Chen X, Lin HH, Ong S, Xie B, Zhang HL, Chen YZ.

Curr Protein Pept Sci. 2008 Feb;9(1):70-95. Review.

PMID:
18336324
10.

SubCellProt: predicting protein subcellular localization using machine learning approaches.

Garg P, Sharma V, Chaudhari P, Roy N.

In Silico Biol. 2009;9(1-2):35-44.

PMID:
19537160
11.

Prediction of protein-protein interaction sites in sequences and 3D structures by random forests.

Sikić M, Tomić S, Vlahovicek K.

PLoS Comput Biol. 2009 Jan;5(1):e1000278. doi: 10.1371/journal.pcbi.1000278. Epub 2009 Jan 30.

12.

Protein subcellular localization prediction using artificial intelligence technology.

Nair R, Rost B.

Methods Mol Biol. 2008;484:435-63. doi: 10.1007/978-1-59745-398-1_27.

PMID:
18592195
13.

Prediction of the protein structural class by specific peptide frequencies.

Costantini S, Facchiano AM.

Biochimie. 2009 Feb;91(2):226-9. doi: 10.1016/j.biochi.2008.09.005. Epub 2008 Oct 10.

PMID:
18957316
14.

Construction of functional interaction networks through consensus localization predictions of the human proteome.

Park S, Yang JS, Jang SK, Kim S.

J Proteome Res. 2009 Jul;8(7):3367-76. doi: 10.1021/pr900018z.

PMID:
19415893
15.

Comparing and combining predictors of mostly disordered proteins.

Oldfield CJ, Cheng Y, Cortese MS, Brown CJ, Uversky VN, Dunker AK.

Biochemistry. 2005 Feb 15;44(6):1989-2000.

PMID:
15697224
16.

Genetic programming for creating Chou's pseudo amino acid based features for submitochondria localization.

Nanni L, Lumini A.

Amino Acids. 2008 May;34(4):653-60. doi: 10.1007/s00726-007-0018-1. Epub 2008 Jan 4.

PMID:
18175047
17.

Recognition of protein function using the local similarity.

Alexandrov K, Sobolev B, Filimonov D, Poroikov V.

J Bioinform Comput Biol. 2008 Aug;6(4):709-25.

PMID:
18763738
18.

Prediction of human protein function from post-translational modifications and localization features.

Jensen LJ, Gupta R, Blom N, Devos D, Tamames J, Kesmir C, Nielsen H, Staerfeldt HH, Rapacki K, Workman C, Andersen CA, Knudsen S, Krogh A, Valencia A, Brunak S.

J Mol Biol. 2002 Jun 21;319(5):1257-65.

PMID:
12079362
19.

Automatic prediction of protein function.

Rost B, Liu J, Nair R, Wrzeszczynski KO, Ofran Y.

Cell Mol Life Sci. 2003 Dec;60(12):2637-50. Review.

PMID:
14685688

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