1. 天津市自然科学基金、18JCQNJC09600、基于深度学习的蛋白质模型评估研究、2018/04-2021/03、主持。
2. 
   
3. 国家自然科学基金青年项目、11701296、基于结构特征和机器学习的蛋白质结构模型评估新方法研究、2018/01-2020/12、主持。
4. 
   
5. 教育部博士点基金、20130031120001、B细胞表位相关若干数学问题研究、2014/01-2016/12、主持。
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7. 中央高校基本科研业务费、65011491、基于序列信息的构象型B细胞表位预测、2011/07-2013/06、主持。

详情可登陆个人网站：www.biomath.cn

发表论文：

• Marco Necci#,  Damiano Piovesan#, CAID Predictors, DisProt Curators, Silvio C.E. Tosatto*, Critical assessment of protein intrinsic disorder prediction., Nature Methods,  2021 .doi: 10.1038/s41592-021-01117-3.

1. Jianlong Wang#, Xuyi Chen#, Haijuan Hu#, Mengting Yao, Yanbiao Song, Aimin Yang, Xiuhua Xu, Ning Zhang, Jianzhao Gao*, and Bin Liu*, PCAT-1 facilitates breast cancer progression via binding to RACK1 and enhancing oxygen-independent stability of hypoxia-inducible factor-1α. Molecular Therapy - Nucleic Acids. 2021；24:310-324.  https://doi.org/10.1016/j.omtn.2021.02.034
2. Gao J, Wei H, Cano A, Kurgan L*. PSIONplusm Server for Accurate Multi-Label Prediction of Ion Channels and Their Types. Biomolecules. 2020;10(6):E876. Published 2020 Jun 7. doi:10.3390/biom10060876
3. 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
4. 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
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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.
12. 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.
13. 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.
14. 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.
15. 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.
16. 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.
17. 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.
18. 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.
19. 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.
20. 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.
21. 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.
22. 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.
23. 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.
24. 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.

• Marco Necci#,  Damiano Piovesan#, CAID Predictors, DisProt Curators, Silvio C.E. Tosatto*, Critical assessment of protein intrinsic disorder prediction., Nature Methods,  2021 .doi: 10.1038/s41592-021-01117-3.

1. Jianlong Wang#, Xuyi Chen#, Haijuan Hu#, Mengting Yao, Yanbiao Song, Aimin Yang, Xiuhua Xu, Ning Zhang, Jianzhao Gao*, and Bin Liu*, PCAT-1 facilitates breast cancer progression via binding to RACK1 and enhancing oxygen-independent stability of hypoxia-inducible factor-1α. Molecular Therapy - Nucleic Acids. 2021；24:310-324.  https://doi.org/10.1016/j.omtn.2021.02.034
2. Gao J, Wei H, Cano A, Kurgan L*. PSIONplusm Server for Accurate Multi-Label Prediction of Ion Channels and Their Types. Biomolecules. 2020;10(6):E876. Published 2020 Jun 7. doi:10.3390/biom10060876
3. 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
4. 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
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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.
12. 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.
13. 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.
14. 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.
15. 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.
16. 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.
17. 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.
18. 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.
19. 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.
20. 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.
21. 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.
22. 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.
23. 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.
24. 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.