高建召(副教授,硕导)

Email: gaojz@nankai.edu.cn

来源:公用更新发稿时间:2020-05-14 09:26


2010年博士毕业于南开大学,20159-20165月在澳大利亚格里菲斯大学访问。生物信息学与计算生物学,蛋白质结构与功能, 深度学习在生物信息学中的应用,3D基因组,单细胞数据科学等。


发表论文:

Journal

Wei H, Wang B, Yang J, Gao J*.RNA      flexibility prediction with sequence profile and predicted solvent      accessibility. IEEE-ACM Transactions on Computational Biology      and Bioinformatics . 2019 Nov 28. doi:      10.1109/TCBB.2019.2956496

  • Zhang Zhaopeng, Ruan Jishou, Gao      Jianzhao*, Wu Fang-Xiang*.Predicting essential proteins from      protein-protein interactions using order statistics. Journal of      Theoretical Biology, 2019 Jun 25. pii:      S0022-5193(19)30257-7. doi: 10.1016/j.jtbi.2019.06.022

  • Mi P, Zhang QP, Zhang SH, Wang C, Zhang      SZ, Fang YC, Gao JZ, Feng DF, Chen DY, Feng XZ. The effects of      fluorene-9-bisphenol on female zebrafish (Danio rerio) reproductive and      exploratory behaviors. Chemosphere 2019 Apr      25;228:398-411. doi: 10.1016/j.chemosphere.2019.04.170.

  • Gao J, Miao Z, Zhang Z,      Wei H, Kurgan L.*,Prediction of Ion Channels and their Types from Protein      Sequences: Comprehensive Review and Comparative Assessment. Current      Drug Targets . 2019;20(5):579-592.

  • Gao J, Yang Y*, Zhou      Y*. Grid-based prediction of torsion angle probabilities of protein      backbone and its application to discrimination of protein intrinsic      disorder regions and selection of model structures. BMC      Bioinformatics. 2018;19(1):29.

  • Gao J, Wu Z, Hu G, Wang      K, Song J, Joachimiak A*, Kurgan L.* Survey of predictors of propensity      for protein production and crystallization with application to predict      resolution of crystal structures.Current Protein & Peptide      Science. 2018;19(2):200-210.

  • Yang Y, Gao J, Wang J,      Heffernan R, Hanson J, Paliwal K, Zhou Y. Sixty-five years of the long      march in protein secondary structure prediction: the final stretch? Brief      Bioinform. 2018;19(3):482-494.

  • Gao J, Tao XW, Zhao J,      Feng YM*, Cai YD*, Zhang N.* Computational Prediction of Protein Epsilon      Lysine Acetylation Sites Based on a Feature Selection Method. Combinatorial      Chemistry & High Throughput Screening. 2017;20(7):629-637.

  • Wang T, Zheng W, Wuyun Q, Wu Z, Ruan J, Hu      G, Gao J*. PrAS: Prediction of amidation sites using multiple      feature extraction. Computational Biology and Chemistry.2017;66:57-62.

  • Gao J, Yang Y*, Zhou      Y*. Predicting the errors of predicted local backbone angles and non-local      solvent-accessibilities of proteins by deep neural networks. Bioinformatics. 2016;      32(24):3768-3773.

  • Gao J, Cui W, Sheng Y,      Ruan J*, Kurgan L*.PSIONplus: Accurate Sequence-Based Predictor of Ion      Channels and Their Types, PLoS One, 2016;11(4):e0152964.

  • Zheng W, Ruan J, Hu G, Wang K, Hanlon      M, Gao J*, Analysis of Conformational B-Cell Epitopes in the      Antibody-Antigen Complex Using the Depth Function and the Convex      Hull, PLoS One, 2015; 10(8):e0134835.

  • Zheng W, Zhang C, Ruan J, Gao J*,      An ensemble method for prediction of conformational B-cell epitopes from      antigen sequences, Computational Biology and Chemistry, 2014; 49,      51–58. 

  • Gao J, Hu G, Wu Z, Ruan      J, Shen S, Hanlon M, Wang K*, Improved Prediction of Protein      Crystallization, Purification and Production Propensity Using Hybrid      Sequence Representation, Current Bioinformatics, 2014; 9,      57-64.

  • Gao J, Zhang N*, Ruan      J*, Prediction of protein modification sites of gamma-carboxylation using      position specific scoring matrices based evolutionary information, Computational      Biology and Chemistry, 2013; 47,215-220.

  • Wang K, Gao J, Shen S,      Tuszynski J, Ruan J, Hu G*, An Accurate Method for Prediction of      Protein-Ligand Binding Site on Protein Surface Using SVM and Statistical      Depth Function, BioMed Research International, Article      ID 409658, 7Pages, 2013.

  • Hu G, Gao J, Wang K*, Mizianty      M, Ruan J, Kurgan L*, Finding Protein Targets for Small Biologically      Relevant Ligands across Fold Space Using Inverse Ligand Binding      Predictions, Structure, 2012; 20(11):1815-22.

  • Gao J*, Faragg E, Zhou      Y, Ruan J, Kurgan L*, BEST: improved prediction of B-cell epitopes from      antigen sequences, PLoS One, 2012; 7(6): e40104.

  • Wang K , Cui W , Hu G, Gao J,      Wu Z, Qiu X, Ruan J,Feng Y,Qi Z, Shao Y, Tuszynski J, Computable features      required to evaluate the efficacy of drugs and a universal algorithm to      find optimally effective drug in a drug complex, PLoS One,      2012; 7(3):e33709.

  • Zhang H, Zhang T, Gao J, Ruan      J, Shen S, Kurgan L*, Determination of protein folding kinetic types using      sequence and predicted secondary structure and solvent      accessibility, Amino Acids,2012; 42(1):271-83.

  • Chen K, Mizianty M, Gao J,      Kurgan L*, A critical comparative assessment of predictions of protein      binding sites for small organic compounds, Structure,2011;19(5):613-21.

  • Gao J, Zhang T, Zhang      H, Shen S, Ruan J, Kurgan L*, Accurate prediction of protein folding rates      from sequence and sequence-derived residue flexibility and solvent      accessibility, PROTEINS: Structure, Function, and Bioinformatics,2010;      78(9):2114-30.

Book Chapter

  • Gao Jianzhao, Kurgan Lukasz*,      Computational prediction of B cell epitopes from antigen sequences (Book      chapter), Immunoinformatics (Second Edition), Methods in Molecular Biology      (series Editor: John Walker), Humana Press. 2014; 1184:197-215. doi:      10.1007/978-1-4939-1115-8_11.