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Items: 1 to 20 of 143

1.

SCMCRYS: predicting protein crystallization using an ensemble scoring card method with estimating propensity scores of P-collocated amino acid pairs.

Charoenkwan P, Shoombuatong W, Lee HC, Chaijaruwanich J, Huang HL, Ho SY.

PLoS One. 2013 Sep 3;8(9):e72368. doi: 10.1371/journal.pone.0072368. eCollection 2013.

2.

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.

3.

Propensity scores for prediction and characterization of bioluminescent proteins from sequences.

Huang HL.

PLoS One. 2014 May 14;9(5):e97158. doi: 10.1371/journal.pone.0097158. eCollection 2014.

4.

SCMMTP: identifying and characterizing membrane transport proteins using propensity scores of dipeptides.

Liou YF, Vasylenko T, Yeh CL, Lin WC, Chiu SH, Charoenkwan P, Shu LS, Ho SY, Huang HL.

BMC Genomics. 2015;16 Suppl 12:S6. doi: 10.1186/1471-2164-16-S12-S6. Epub 2015 Dec 9.

5.

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.

6.

RFCRYS: sequence-based protein crystallization propensity prediction by means of random forest.

Jahandideh S, Mahdavi A.

J Theor Biol. 2012 Aug 7;306:115-9. doi: 10.1016/j.jtbi.2012.04.028. Epub 2012 May 2.

PMID:
22726810
7.

Ranking Gene Ontology terms for predicting non-classical secretory proteins in eukaryotes and prokaryotes.

Huang WL.

J Theor Biol. 2012 Nov 7;312:105-13. doi: 10.1016/j.jtbi.2012.07.027. Epub 2012 Aug 8.

8.

FRKAS: knowledge acquisition using a fuzzy rule base approach to insight of DNA-binding domains/proteins.

Huang HL, Chang FL, Ho SJ, Shu LS, Huang WL, Ho SY.

Protein Pept Lett. 2013 Mar;20(3):299-308.

PMID:
22591472
9.

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.

10.

Prediction of protein subcellular multi-localization based on the general form of Chou's pseudo amino acid composition.

Li LQ, Zhang Y, Zou LY, Zhou Y, Zheng XQ.

Protein Pept Lett. 2012 Apr;19(4):375-87.

PMID:
22185507
11.

Prediction and analysis of antibody amyloidogenesis from sequences.

Liaw C, Tung CW, Ho SY.

PLoS One. 2013;8(1):e53235. doi: 10.1371/journal.pone.0053235. Epub 2013 Jan 7.

12.

SCMHBP: prediction and analysis of heme binding proteins using propensity scores of dipeptides.

Liou YF, Charoenkwan P, Srinivasulu Y, Vasylenko T, Lai SC, Lee HC, Chen YH, Huang HL, Ho SY.

BMC Bioinformatics. 2014;15 Suppl 16:S4. doi: 10.1186/1471-2105-15-S16-S4. Epub 2014 Dec 8.

13.

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.

14.
15.

Prediction of membrane proteins using split amino acid and ensemble classification.

Hayat M, Khan A, Yeasin M.

Amino Acids. 2012 Jun;42(6):2447-60. doi: 10.1007/s00726-011-1053-5. Epub 2011 Aug 18.

PMID:
21850437
16.
17.

Sequence-based prediction of protein crystallization, purification and production propensity.

Mizianty MJ, Kurgan L.

Bioinformatics. 2011 Jul 1;27(13):i24-33. doi: 10.1093/bioinformatics/btr229.

18.

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.

19.

Mito-GSAAC: mitochondria prediction using genetic ensemble classifier and split amino acid composition.

Afridi TH, Khan A, Lee YS.

Amino Acids. 2012 Apr;42(4):1443-54. doi: 10.1007/s00726-011-0888-0. Epub 2011 Mar 29.

PMID:
21445589
20.

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