Su W - Search Results

1

PPD: A Manually Curated Database for Experimentally Verified Prokaryotic Promoters.

Su W, Liu ML, Yang YH, Wang JS, Li SH, Lv H, Dao FY, Yang H, Lin H. Su W, et al. J Mol Biol. 2021 May 28;433(11):166860. doi: 10.1016/j.jmb.2021.166860. Epub 2021 Feb 2. J Mol Biol. 2021. PMID: 33539888

2

iProEP: A Computational Predictor for Predicting Promoter.

Lai HY, Zhang ZY, Su ZD, Su W, Ding H, Chen W, Lin H. Lai HY, et al. Among authors: su zd, su w. Mol Ther Nucleic Acids. 2019 Sep 6;17:337-346. doi: 10.1016/j.omtn.2019.05.028. Epub 2019 Jun 13. Mol Ther Nucleic Acids. 2019. PMID: 31299595 Free PMC article.

3

An Overview on Predicting Protein Subchloroplast Localization by using Machine Learning Methods.

Liu ML, Su W, Guan ZX, Zhang D, Chen W, Liu L, Ding H. Liu ML, et al. Among authors: su w. Curr Protein Pept Sci. 2020;21(12):1229-1241. doi: 10.2174/1389203721666200117153412. Curr Protein Pept Sci. 2020. PMID: 31957607 Review.

4

A computational platform to identify origins of replication sites in eukaryotes.

Dao FY, Lv H, Zulfiqar H, Yang H, Su W, Gao H, Ding H, Lin H. Dao FY, et al. Among authors: su w. Brief Bioinform. 2021 Mar 22;22(2):1940-1950. doi: 10.1093/bib/bbaa017. Brief Bioinform. 2021. PMID: 32065211

5

iDNA-MS: An Integrated Computational Tool for Detecting DNA Modification Sites in Multiple Genomes.

Lv H, Dao FY, Zhang D, Guan ZX, Yang H, Su W, Liu ML, Ding H, Chen W, Lin H. Lv H, et al. Among authors: su w. iScience. 2020 Apr 24;23(4):100991. doi: 10.1016/j.isci.2020.100991. Epub 2020 Mar 19. iScience. 2020. PMID: 32240948 Free PMC article.

6

iCarPS: a computational tool for identifying protein carbonylation sites by novel encoded features.

Zhang D, Xu ZC, Su W, Yang YH, Lv H, Yang H, Lin H. Zhang D, et al. Among authors: su w. Bioinformatics. 2021 Apr 19;37(2):171-177. doi: 10.1093/bioinformatics/btaa702. Bioinformatics. 2021. PMID: 32766811

7

Predicting Preference of Transcription Factors for Methylated DNA Using Sequence Information.

Liu ML, Su W, Wang JS, Yang YH, Yang H, Lin H. Liu ML, et al. Among authors: su w. Mol Ther Nucleic Acids. 2020 Jul 31;22:1043-1050. doi: 10.1016/j.omtn.2020.07.035. eCollection 2020 Dec 4. Mol Ther Nucleic Acids. 2020. PMID: 33294291 Free PMC article.

8

A sequence-based deep learning approach to predict CTCF-mediated chromatin loop.

Lv H, Dao FY, Zulfiqar H, Su W, Ding H, Liu L, Lin H. Lv H, et al. Among authors: su w. Brief Bioinform. 2021 Sep 2;22(5):bbab031. doi: 10.1093/bib/bbab031. Brief Bioinform. 2021. PMID: 33634313

9

iDHS-Deep: an integrated tool for predicting DNase I hypersensitive sites by deep neural network.

Dao FY, Lv H, Su W, Sun ZJ, Huang QL, Lin H. Dao FY, et al. Among authors: su w. Brief Bioinform. 2021 Sep 2;22(5):bbab047. doi: 10.1093/bib/bbab047. Brief Bioinform. 2021. PMID: 33751027

10

A Survey for Predicting ATP Binding Residues of Proteins Using Machine Learning Methods.

Yang YH, Wang JS, Yuan SS, Liu ML, Su W, Lin H, Zhang ZY. Yang YH, et al. Among authors: su w. Curr Med Chem. 2022;29(5):789-806. doi: 10.2174/0929867328666210910125802. Curr Med Chem. 2022. PMID: 34514982 Review.

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