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Items: 1 to 20 of 277

1.

Identification and characterization of plastid-type proteins from sequence-attributed features using machine learning.

Kaundal R, Sahu SS, Verma R, Weirick T.

BMC Bioinformatics. 2013;14 Suppl 14:S7. doi: 10.1186/1471-2105-14-S14-S7. Epub 2013 Oct 9.

3.
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Prediction of mitochondrial proteins of malaria parasite using split amino acid composition and PSSM profile.

Verma R, Varshney GC, Raghava GP.

Amino Acids. 2010 Jun;39(1):101-10. doi: 10.1007/s00726-009-0381-1. Epub 2009 Nov 12.

PMID:
19908123
5.

Prediction and analysis of protein solubility using a novel scoring card method with dipeptide composition.

Huang HL, Charoenkwan P, Kao TF, Lee HC, Chang FL, Huang WL, Ho SJ, Shu LS, Chen WL, Ho SY.

BMC Bioinformatics. 2012;13 Suppl 17:S3. doi: 10.1186/1471-2105-13-S17-S3. Epub 2012 Dec 13.

6.

Prediction and classification of aminoacyl tRNA synthetases using PROSITE domains.

Panwar B, Raghava GP.

BMC Genomics. 2010 Sep 22;11:507. doi: 10.1186/1471-2164-11-507.

7.

Prediction of nuclear proteins using SVM and HMM models.

Kumar M, Raghava GP.

BMC Bioinformatics. 2009 Jan 19;10:22. doi: 10.1186/1471-2105-10-22.

8.

Protein-RNA interface residue prediction using machine learning: an assessment of the state of the art.

Walia RR, Caragea C, Lewis BA, Towfic F, Terribilini M, El-Manzalawy Y, Dobbs D, Honavar V.

BMC Bioinformatics. 2012 May 10;13:89. doi: 10.1186/1471-2105-13-89.

9.

Prediction of nuclear proteins using nuclear translocation signals proposed by probabilistic latent semantic indexing.

Su EC, Chang JM, Cheng CW, Sung TY, Hsu WL.

BMC Bioinformatics. 2012;13 Suppl 17:S13. doi: 10.1186/1471-2105-13-S17-S13. Epub 2012 Dec 13.

10.

VirulentPred: a SVM based prediction method for virulent proteins in bacterial pathogens.

Garg A, Gupta D.

BMC Bioinformatics. 2008 Jan 28;9:62. doi: 10.1186/1471-2105-9-62.

11.

SCMPSP: Prediction and characterization of photosynthetic proteins based on a scoring card method.

Vasylenko T, Liou YF, Chen HA, Charoenkwan P, Huang HL, Ho SY.

BMC Bioinformatics. 2015;16 Suppl 1:S8. doi: 10.1186/1471-2105-16-S1-S8. Epub 2015 Jan 21.

12.

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.

13.

Prediction of mitochondrial proteins based on genetic algorithm - partial least squares and support vector machine.

Tan F, Feng X, Fang Z, Li M, Guo Y, Jiang L.

Amino Acids. 2007 Nov;33(4):669-75. Epub 2007 Aug 15.

PMID:
17701100
14.

plprot: a comprehensive proteome database for different plastid types.

Kleffmann T, Hirsch-Hoffmann M, Gruissem W, Baginsky S.

Plant Cell Physiol. 2006 Mar;47(3):432-6. Epub 2006 Jan 17.

PMID:
16418230
15.

Support vector machine (SVM) based multiclass prediction with basic statistical analysis of plasminogen activators.

Muthukrishnan S, Puri M, Lefevre C.

BMC Res Notes. 2014 Jan 27;7:63. doi: 10.1186/1756-0500-7-63.

16.

Prediction of membrane transport proteins and their substrate specificities using primary sequence information.

Mishra NK, Chang J, Zhao PX.

PLoS One. 2014 Jun 26;9(6):e100278. doi: 10.1371/journal.pone.0100278. eCollection 2014.

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18.

A Support Vector Machine based method to distinguish proteobacterial proteins from eukaryotic plant proteins.

Verma R, Melcher U.

BMC Bioinformatics. 2012;13 Suppl 15:S9. doi: 10.1186/1471-2105-13-S15-S9. Epub 2012 Sep 11.

19.

Stability of halophilic proteins: from dipeptide attributes to discrimination classifier.

Zhang G, Huihua G, Yi L.

Int J Biol Macromol. 2013 Feb;53:1-6. doi: 10.1016/j.ijbiomac.2012.10.031. Epub 2012 Nov 6.

PMID:
23142140
20.

SVM based prediction of RNA-binding proteins using binding residues and evolutionary information.

Kumar M, Gromiha MM, Raghava GP.

J Mol Recognit. 2011 Mar-Apr;24(2):303-13. doi: 10.1002/jmr.1061.

PMID:
20677174

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