Wu J - Search Results

1

Diagnostic model generated by MRI-derived brain features in toddlers with autism spectrum disorder.

Xiao X, Fang H, Wu J, Xiao C, Xiao T, Qian L, Liang F, Xiao Z, Chu KK, Ke X. Xiao X, et al. Among authors: wu j. Autism Res. 2017 Apr;10(4):620-630. doi: 10.1002/aur.1711. Epub 2016 Nov 22. Autism Res. 2017. PMID: 27874271

2

WDL-RF: predicting bioactivities of ligand molecules acting with G protein-coupled receptors by combining weighted deep learning and random forest.

Wu J, Zhang Q, Wu W, Pang T, Hu H, Chan WKB, Ke X, Zhang Y. Wu J, et al. Among authors: wu w. Bioinformatics. 2018 Jul 1;34(13):2271-2282. doi: 10.1093/bioinformatics/bty070. Bioinformatics. 2018. PMID: 29432522 Free PMC article.

3

Function Prediction for G Protein-Coupled Receptors through Text Mining and Induction Matrix Completion.

Wu J, Yin Q, Zhang C, Geng J, Wu H, Hu H, Ke X, Zhang Y. Wu J, et al. Among authors: wu h. ACS Omega. 2019 Feb 12;4(2):3045-3054. doi: 10.1021/acsomega.8b02454. eCollection 2019 Feb 28. ACS Omega. 2019. PMID: 31459527 Free PMC article.

4

Precise modelling and interpretation of bioactivities of ligands targeting G protein-coupled receptors.

Wu J, Liu B, Chan WKB, Wu W, Pang T, Hu H, Yan S, Ke X, Zhang Y. Wu J, et al. Among authors: wu w. Bioinformatics. 2019 Jul 15;35(14):i324-i332. doi: 10.1093/bioinformatics/btz336. Bioinformatics. 2019. PMID: 31510691 Free PMC article.

5

Homologous G Protein-Coupled Receptors Boost the Modeling and Interpretation of Bioactivities of Ligand Molecules.

Wu J, Sun Y, Chan WKB, Zhu Y, Zhu W, Huang W, Hu H, Yan S, Pang T, Ke X, Li F. Wu J, et al. J Chem Inf Model. 2020 Mar 23;60(3):1865-1875. doi: 10.1021/acs.jcim.9b01000. Epub 2020 Feb 18. J Chem Inf Model. 2020. PMID: 32040913

6

Multi-instance multilabel learning with weak-label for predicting protein function in electricigens.

Wu JS, Hu HF, Yan SC, Tang LH. Wu JS, et al. Biomed Res Int. 2015;2015:619438. doi: 10.1155/2015/619438. Epub 2015 May 5. Biomed Res Int. 2015. PMID: 26075251 Free PMC article.

7

Sequence-based prediction of microRNA-binding residues in proteins using cost-sensitive Laplacian support vector machines.

Wu JS, Zhou ZH. Wu JS, et al. IEEE/ACM Trans Comput Biol Bioinform. 2013 May-Jun;10(3):752-9. doi: 10.1109/TCBB.2013.75. IEEE/ACM Trans Comput Biol Bioinform. 2013. PMID: 24091407

8

RealVS: Toward Enhancing the Precision of Top Hits in Ligand-Based Virtual Screening of Drug Leads from Large Compound Databases.

Yin Y, Hu H, Yang Z, Xu H, Wu J. Yin Y, et al. Among authors: wu j. J Chem Inf Model. 2021 Oct 25;61(10):4924-4939. doi: 10.1021/acs.jcim.1c01021. Epub 2021 Oct 7. J Chem Inf Model. 2021. PMID: 34619030

9

Predicting Conversion from MCI to AD Combining Multi-Modality Data and Based on Molecular Subtype.

Li HT, Yuan SX, Wu JS, Gu Y, Sun X. Li HT, et al. Brain Sci. 2021 May 21;11(6):674. doi: 10.3390/brainsci11060674. Brain Sci. 2021. PMID: 34064186 Free PMC article.

10

A novel method for quantitatively predicting non-covalent interactions from protein and nucleic acid sequence.

Wu J, Hu D, Xu X, Ding Y, Yan S, Sun X. Wu J, et al. J Mol Graph Model. 2011 Nov;31:28-34. doi: 10.1016/j.jmgm.2011.08.001. Epub 2011 Aug 11. J Mol Graph Model. 2011. PMID: 21920789

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