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Items: 1 to 20 of 219

1.

Prediction of protein-glucose binding sites using support vector machines.

Nassif H, Al-Ali H, Khuri S, Keirouz W.

Proteins. 2009 Oct;77(1):121-32. doi: 10.1002/prot.22424.

PMID:
19415755
2.

ProMate: a structure based prediction program to identify the location of protein-protein binding sites.

Neuvirth H, Raz R, Schreiber G.

J Mol Biol. 2004 Apr 16;338(1):181-99.

PMID:
15050833
3.

Prediction of protein-RNA binding sites by a random forest method with combined features.

Liu ZP, Wu LY, Wang Y, Zhang XS, Chen L.

Bioinformatics. 2010 Jul 1;26(13):1616-22. doi: 10.1093/bioinformatics/btq253. Epub 2010 May 18.

4.

Prediction of protein-protein interaction sites using support vector machines.

Koike A, Takagi T.

Protein Eng Des Sel. 2004 Feb;17(2):165-73. Epub 2004 Jan 20.

5.

Computational identification of ubiquitylation sites from protein sequences.

Tung CW, Ho SY.

BMC Bioinformatics. 2008 Jul 15;9:310. doi: 10.1186/1471-2105-9-310.

6.

Prediction of lipid-binding sites based on support vector machine and position specific scoring matrix.

Xiong W, Guo Y, Li M.

Protein J. 2010 Aug;29(6):427-31. doi: 10.1007/s10930-010-9269-x.

PMID:
20658312
7.

Applying the Naïve Bayes classifier with kernel density estimation to the prediction of protein-protein interaction sites.

Murakami Y, Mizuguchi K.

Bioinformatics. 2010 Aug 1;26(15):1841-8. doi: 10.1093/bioinformatics/btq302. Epub 2010 Jun 6.

8.

Improved prediction of protein binding sites from sequences using genetic algorithm.

Du X, Cheng J, Song J.

Protein J. 2009 Aug;28(6):273-80. doi: 10.1007/s10930-009-9192-1.

PMID:
19629657
9.

Design of accurate predictors for DNA-binding sites in proteins using hybrid SVM-PSSM method.

Ho SY, Yu FC, Chang CY, Huang HL.

Biosystems. 2007 Jul-Aug;90(1):234-41. Epub 2006 Aug 23.

PMID:
17275170
10.

Prediction of small molecule binding property of protein domains with Bayesian classifiers based on Markov chains.

Bulashevska A, Stein M, Jackson D, Eils R.

Comput Biol Chem. 2009 Dec;33(6):457-60. doi: 10.1016/j.compbiolchem.2009.09.005. Epub 2009 Oct 9.

PMID:
19892602
11.

Identification of catalytic residues from protein structure using support vector machine with sequence and structural features.

Pugalenthi G, Kumar KK, Suganthan PN, Gangal R.

Biochem Biophys Res Commun. 2008 Mar 14;367(3):630-4. doi: 10.1016/j.bbrc.2008.01.038. Epub 2008 Jan 17.

PMID:
18206645
12.

PRINTR: prediction of RNA binding sites in proteins using SVM and profiles.

Wang Y, Xue Z, Shen G, Xu J.

Amino Acids. 2008 Aug;35(2):295-302. doi: 10.1007/s00726-007-0634-9. Epub 2008 Jan 31.

PMID:
18235992
13.

Recognition templates for predicting adenylate-binding sites in proteins.

Zhao S, Morris GM, Olson AJ, Goodsell DS.

J Mol Biol. 2001 Dec 14;314(5):1245-55.

PMID:
11743737
14.
15.

Predicting protein pK(a) by environment similarity.

Milletti F, Storchi L, Cruciani G.

Proteins. 2009 Aug 1;76(2):484-95. doi: 10.1002/prot.22363.

PMID:
19241472
16.

Prediction of protein accessible surface areas by support vector regression.

Yuan Z, Huang B.

Proteins. 2004 Nov 15;57(3):558-64.

PMID:
15382233
17.

Prediction of protein binding sites in protein structures using hidden Markov support vector machine.

Liu B, Wang X, Lin L, Tang B, Dong Q, Wang X.

BMC Bioinformatics. 2009 Nov 20;10:381. doi: 10.1186/1471-2105-10-381.

18.

Predicting RNA-binding sites of proteins using support vector machines and evolutionary information.

Cheng CW, Su EC, Hwang JK, Sung TY, Hsu WL.

BMC Bioinformatics. 2008 Dec 12;9 Suppl 12:S6. doi: 10.1186/1471-2105-9-S12-S6.

19.

Using LogitBoost classifier to predict protein structural classes.

Cai YD, Feng KY, Lu WC, Chou KC.

J Theor Biol. 2006 Jan 7;238(1):172-6. Epub 2005 Jul 25.

PMID:
16043193
20.

Sequence-based prediction of protein interaction sites with an integrative method.

Chen XW, Jeong JC.

Bioinformatics. 2009 Mar 1;25(5):585-91. doi: 10.1093/bioinformatics/btp039. Epub 2009 Jan 19.

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