Format
Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 100

1.

Predicting multisite protein subcellular locations: progress and challenges.

Du P, Xu C.

Expert Rev Proteomics. 2013 Jun;10(3):227-37. doi: 10.1586/epr.13.16. Review.

PMID:
23777214
2.
3.

Predicting subcellular location of proteins using integrated-algorithm method.

Cai YD, Lu L, Chen L, He JF.

Mol Divers. 2010 Aug;14(3):551-8. doi: 10.1007/s11030-009-9182-4. Epub 2009 Aug 7.

PMID:
19662505
4.

Prediction of protein subcellular locations using a new measure of information discrepancy.

Jin L, Tang H, Fang W.

J Bioinform Comput Biol. 2005 Aug;3(4):915-27.

PMID:
16078367
5.

Application of pseudo amino acid composition for predicting protein subcellular location: stochastic signal processing approach.

Pan YX, Zhang ZZ, Guo ZM, Feng GY, Huang ZD, He L.

J Protein Chem. 2003 May;22(4):395-402.

PMID:
13678304
6.

Prediction of protein subcellular multisite localization using a new feature extraction method.

Wang LY, Wang D, Chen YH.

Genet Mol Res. 2016 Sep 23;15(3). doi: 10.4238/gmr.15039013.

PMID:
27706790
7.

iLoc-Hum: using the accumulation-label scale to predict subcellular locations of human proteins with both single and multiple sites.

Chou KC, Wu ZC, Xiao X.

Mol Biosyst. 2012 Feb;8(2):629-41. doi: 10.1039/c1mb05420a. Epub 2011 Dec 1.

PMID:
22134333
8.

Predicting subcellular location of apoptosis proteins based on wavelet transform and support vector machine.

Qiu JD, Luo SH, Huang JH, Sun XY, Liang RP.

Amino Acids. 2010 Apr;38(4):1201-8. doi: 10.1007/s00726-009-0331-y. Epub 2009 Aug 4.

PMID:
19653066
9.

Artificial neural network model for predicting protein subcellular location.

Cai YD, Liu XJ, Chou KC.

Comput Chem. 2002 Jan;26(2):179-82.

PMID:
11778941
10.

Hum-PLoc: a novel ensemble classifier for predicting human protein subcellular localization.

Chou KC, Shen HB.

Biochem Biophys Res Commun. 2006 Aug 18;347(1):150-7. Epub 2006 Jun 21. Erratum in: Biochem Biophys Res Commun. 2006 Oct 6;348(4):1479.

PMID:
16808903
11.

A new hybrid approach to predict subcellular localization of proteins by incorporating gene ontology.

Chou KC, Cai YD.

Biochem Biophys Res Commun. 2003 Nov 21;311(3):743-7.

PMID:
14623335
12.

Recent progress in predicting protein sub-subcellular locations.

Du P, Li T, Wang X.

Expert Rev Proteomics. 2011 Jun;8(3):391-404. doi: 10.1586/epr.11.20. Review.

PMID:
21679119
13.

Predicting plant protein subcellular multi-localization by Chou's PseAAC formulation based multi-label homolog knowledge transfer learning.

Mei S.

J Theor Biol. 2012 Oct 7;310:80-7. doi: 10.1016/j.jtbi.2012.06.028. Epub 2012 Jun 27. Erratum in: J Theor Biol. 2013 Dec 7;338:111.

PMID:
22750634
14.

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
15.

Automated protein subcellular localization based on local invariant features.

Li C, Wang XH, Zheng L, Huang JF.

Protein J. 2013 Mar;32(3):230-7. doi: 10.1007/s10930-013-9478-1.

PMID:
23512411
16.

Prediction of protein subcellular localization.

Yu CS, Chen YC, Lu CH, Hwang JK.

Proteins. 2006 Aug 15;64(3):643-51.

PMID:
16752418
17.

Predicting protein localization in budding yeast.

Chou KC, Cai YD.

Bioinformatics. 2005 Apr 1;21(7):944-50. Epub 2004 Oct 28.

PMID:
15513989
18.

iLoc-Plant: a multi-label classifier for predicting the subcellular localization of plant proteins with both single and multiple sites.

Wu ZC, Xiao X, Chou KC.

Mol Biosyst. 2011 Dec;7(12):3287-97. doi: 10.1039/c1mb05232b. Epub 2011 Oct 10.

PMID:
21984117
19.

Going from where to why--interpretable prediction of protein subcellular localization.

Briesemeister S, Rahnenf├╝hrer J, Kohlbacher O.

Bioinformatics. 2010 May 1;26(9):1232-8. doi: 10.1093/bioinformatics/btq115. Epub 2010 Mar 17.

20.

Predicting protein subcellular location using digital signal processing.

Pan YX, Li DW, Duan Y, Zhang ZZ, Xu MQ, Feng GY, He L.

Acta Biochim Biophys Sin (Shanghai). 2005 Feb;37(2):88-96.

PMID:
15685365

Supplemental Content

Support Center