Format
Sort by
Items per page

Send to

Choose Destination

Search results

Items: 1 to 20 of 366

1.

iRNA(m6A)-PseDNC: Identifying N6-methyladenosine sites using pseudo dinucleotide composition.

Chen W, Ding H, Zhou X, Lin H, Chou KC.

Anal Biochem. 2018 Sep 7. pii: S0003-2697(18)30763-2. doi: 10.1016/j.ab.2018.09.002. [Epub ahead of print]

PMID:
30201554
2.

pLoc_bal-mGneg: predict subcellular localization of Gram-negative bacterial proteins by quasi-balancing training dataset and general PseAAC.

Cheng X, Xiao X, Chou KC.

J Theor Biol. 2018 Sep 7. pii: S0022-5193(18)30435-1. doi: 10.1016/j.jtbi.2018.09.005. [Epub ahead of print]

PMID:
30201434
3.

Implications of Newly Identified Brain eQTL Genes and Their Interactors in Schizophrenia.

Cai L, Huang T, Su J, Zhang X, Chen W, Zhang F, He L, Chou KC.

Mol Ther Nucleic Acids. 2018 Sep 7;12:433-442. doi: 10.1016/j.omtn.2018.05.026. Epub 2018 Jul 11.

4.

Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: a comprehensive revisit and benchmarking of existing methods.

Li F, Wang Y, Li C, Marquez-Lago TT, Leier A, Rawlings ND, Haffari G, Revote J, Akutsu T, Chou KC, Purcell AW, Pike RN, Webb GI, Ian Smith A, Lithgow T, Daly RJ, Whisstock JC, Song J.

Brief Bioinform. 2018 Aug 29. doi: 10.1093/bib/bby077. [Epub ahead of print]

PMID:
30184176
5.

pLoc_bal-mHum: Predict subcellular localization of human proteins by PseAAC and quasi-balancing training dataset.

Chou KC, Cheng X, Xiao X.

Genomics. 2018 Sep 1. pii: S0888-7543(18)30276-3. doi: 10.1016/j.ygeno.2018.08.007. [Epub ahead of print]

PMID:
30179658
6.

pLoc_bal-mAnimal: predict subcellular localization of animal proteins by balancing training dataset and PseAAC.

Cheng X, Lin WZ, Xiao X, Chou KC.

Bioinformatics. 2018 Jul 13. doi: 10.1093/bioinformatics/bty628. [Epub ahead of print]

PMID:
30010789
7.

iRSpot-Pse6NC: Identifying recombination spots in Saccharomyces cerevisiae by incorporating hexamer composition into general PseKNC.

Yang H, Qiu WR, Liu G, Guo FB, Chen W, Chou KC, Lin H.

Int J Biol Sci. 2018 May 22;14(8):883-891. doi: 10.7150/ijbs.24616. eCollection 2018.

8.

Quokka: a comprehensive tool for rapid and accurate prediction of kinase family-specific phosphorylation sites in the human proteome.

Li F, Li C, Marquez-Lago TT, Leier A, Akutsu T, Purcell AW, Smith AI, Lithgow T, Daly RJ, Song J, Chou KC.

Bioinformatics. 2018 Jun 27. doi: 10.1093/bioinformatics/bty522. [Epub ahead of print]

PMID:
29947803
9.

iLoc-lncRNA: predict the subcellular location of lncRNAs by incorporating octamer composition into general PseKNC.

Su ZD, Huang Y, Zhang ZY, Zhao YW, Wang D, Chen W, Chou KC, Lin H.

Bioinformatics. 2018 Jun 21. doi: 10.1093/bioinformatics/bty508. [Epub ahead of print]

PMID:
29931187
10.

iProt-Sub: a comprehensive package for accurately mapping and predicting protease-specific substrates and cleavage sites.

Song J, Wang Y, Li F, Akutsu T, Rawlings ND, Webb GI, Chou KC.

Brief Bioinform. 2018 Apr 19. doi: 10.1093/bib/bby028. [Epub ahead of print]

PMID:
29897410
11.

iEnhancer-EL: Identifying enhancers and their strength with ensemble learning approach.

Liu B, Li K, Huang DS, Chou KC.

Bioinformatics. 2018 Jun 7. doi: 10.1093/bioinformatics/bty458. [Epub ahead of print]

PMID:
29878118
12.

iRNA-3typeA: Identifying Three Types of Modification at RNA's Adenosine Sites.

Chen W, Feng P, Yang H, Ding H, Lin H, Chou KC.

Mol Ther Nucleic Acids. 2018 Jun 1;11:468-474. doi: 10.1016/j.omtn.2018.03.012. Epub 2018 Mar 30.

13.

pLoc_bal-mGpos: Predict subcellular localization of Gram-positive bacterial proteins by quasi-balancing training dataset and PseAAC.

Xiao X, Cheng X, Chen G, Mao Q, Chou KC.

Genomics. 2018 May 26. pii: S0888-7543(18)30260-X. doi: 10.1016/j.ygeno.2018.05.017. [Epub ahead of print]

PMID:
29842950
14.

iPhosT-PseAAC: Identify phosphothreonine sites by incorporating sequence statistical moments into PseAAC.

Khan YD, Rasool N, Hussain W, Khan SA, Chou KC.

Anal Biochem. 2018 Jun 1;550:109-116. doi: 10.1016/j.ab.2018.04.021. Epub 2018 Apr 25.

PMID:
29704476
15.

iRO-3wPseKNC: identify DNA replication origins by three-window-based PseKNC.

Liu B, Weng F, Huang DS, Chou KC.

Bioinformatics. 2018 Sep 15;34(18):3086-3093. doi: 10.1093/bioinformatics/bty312.

PMID:
29684124
16.

Bastion6: a bioinformatics approach for accurate prediction of type VI secreted effectors.

Wang J, Yang B, Leier A, Marquez-Lago TT, Hayashida M, Rocker A, Zhang Y, Akutsu T, Chou KC, Strugnell RA, Song J, Lithgow T.

Bioinformatics. 2018 Aug 1;34(15):2546-2555. doi: 10.1093/bioinformatics/bty155.

PMID:
29547915
17.

iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences.

Chen Z, Zhao P, Li F, Leier A, Marquez-Lago TT, Wang Y, Webb GI, Smith AI, Daly RJ, Chou KC, Song J.

Bioinformatics. 2018 Jul 15;34(14):2499-2502. doi: 10.1093/bioinformatics/bty140.

PMID:
29528364
18.

PREvaIL, an integrative approach for inferring catalytic residues using sequence, structural, and network features in a machine-learning framework.

Song J, Li F, Takemoto K, Haffari G, Akutsu T, Chou KC, Webb GI.

J Theor Biol. 2018 Apr 14;443:125-137. doi: 10.1016/j.jtbi.2018.01.023. Epub 2018 Feb 1.

PMID:
29408627
19.

iDNA6mA-PseKNC: Identifying DNA N6-methyladenosine sites by incorporating nucleotide physicochemical properties into PseKNC.

Feng P, Yang H, Ding H, Lin H, Chen W, Chou KC.

Genomics. 2018 Jan 31. pii: S0888-7543(18)30009-0. doi: 10.1016/j.ygeno.2018.01.005. [Epub ahead of print]

PMID:
29360500
20.

A Novel Modeling in Mathematical Biology for Classification of Signal Peptides.

Ehsan A, Mahmood K, Khan YD, Khan SA, Chou KC.

Sci Rep. 2018 Jan 18;8(1):1039. doi: 10.1038/s41598-018-19491-y.

Supplemental Content

Loading ...
Support Center