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EducationWorkExperienceResumeResearch FieldsLecturesProjectsPublications[1]Zeng, Y., Wei, Z., Yuan, Q., Chen, S., Yu, W., Lu, Y., Gao, J.*, & Yang, Y.* (2023). Identifying B-cell epitopes using AlphaFold2 predicted structures and pretrained language model. Bioinformatics, 39(4). https://doi.org/10.1093/bioinformatics/btad187 [2]Bai, H., Zhang, Q., Zhang, S., Wang, J., Luo, B., Dong, Y., Gao, J., Cheng, T., Dong, F., & Ema, H. (2022). Multiple cells of origin in common with various types of mouse N-Myc acute leukemia. Leuk Res, 117, 106843. https://doi.org/10.1016/j.leukres.2022.106843 [3]Gao, J*., Zheng, S., Yao, M., & Wu, P. (2021). Precise estimation of residue relative solvent accessible area from Cα atom distance matrix using a deep learning method. Bioinformatics, 38(1), 94-98. https://doi.org/10.1093/bioinformatics/btab616 [4]Hu, G., Katuwawala, A., Wang, K., Wu, Z., Ghadermarzi, S., Gao, J., & Kurgan, L. (2021). flDPnn: Accurate intrinsic disorder prediction with putative propensities of disorder functions. Nat Commun, 12(1), 4438. https://doi.org/10.1038/s41467-021-24773-7 [5]Jin, C., Gao, J., Shi, Z., & Zhang, H. (2021). ATTCry: Attention-based neural network model for protein crystallization prediction. Neurocomputing, 463, 265-274. [6]Necci, M., Piovesan, D., CAID Predictors (including Gao J.), C. P. I. G., Curators, D., & Tosatto, S. C. E. (2021). Critical assessment of protein intrinsic disorder prediction. Nat Methods, 18(5), 472-481. https://doi.org/10.1038/s41592-021-01117-3 [7]Ni, X., Geng, B., Zheng, H., Shi, J., Hu, G., & Gao, J.* (2021). Accurate Estimation of Single-Cell Differentiation Potency Based on Network Topology and Gene Ontology Information. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 19(6), 3255-3262. [8]Wang, J., Chen, X., Hu, H., Yao, M., Song, Y., Yang, A., Xu, X., Zhang, N., Gao, J.*, & Liu, B.* (2021). PCAT-1 facilitates breast cancer progression via binding to RACK1 and enhancing oxygen-independent stability of HIF-1α. Mol Ther Nucleic Acids, 24, 310-324. https://doi.org/10.1016/j.omtn.2021.02.034 [9]Wei, H., Wang, B., Yang, J., & Gao, J.* (2021). RNA flexibility prediction with sequence profile and predicted solvent accessibility. IEEE/ACM Trans Comput Biol Bioinform, 18(5), 2017-2022. https://doi.org/10.1109/tcbb.2019.2956496 [10]Ye, L., Wu, P., Peng, Z., Gao, J., Liu, J., & Yang, J. (2021). Improved estimation of model quality using predicted inter-residue distance. Bioinformatics, 37(21), 3752-3759. https://doi.org/10.1093/bioinformatics/btab632 [11]Gao, J., Wei, H., Cano, A., & Kurgan, L. (2020). PSIONplus(m) Server for Accurate Multi-Label Prediction of Ion Channels and Their Types. Biomolecules, 10(6). https://doi.org/10.3390/biom10060876 [12]Mi, P., Zhang, Q.-P., Zhang, S.-H., Wang, C., Zhang, S.-Z., Fang, Y.-C., Gao, J., Feng, D.-F., Chen, D.-Y., & Feng, X.-Z. (2019). The effects of fluorene-9-bisphenol on female zebrafish (Danio rerio) reproductive and exploratory behaviors. Chemosphere, 228, 398-411. https://doi.org/10.1016/j.chemosphere.2019.04.170 [13]Zhang, Z., Ruan, J., Gao, J.*, & Wu, F.-X.* (2019). Predicting essential proteins from protein-protein interactions using order statistics. J Theor Biol, 480, 274-283. https://doi.org/10.1016/j.jtbi.2019.06.022 [14]Gao, J., Miao, Z., Zhang, Z., Wei, H., & Kurgan, L. (2019). Prediction of Ion Channels and their Types from Protein Sequences: Comprehensive Review and Comparative Assessment. Curr Drug Targets, 20(5), 579-592. https://doi.org/10.2174/1389450119666181022153942 [15]Gao, J., Wu, Z., Hu, G., Wang, K., Song, J., Joachimiak, A., & Kurgan, L. (2018). Survey of Predictors of Propensity for Protein Production and Crystallization with Application to Predict Resolution of Crystal Structures. Curr Protein Pept Sci, 19(2), 200-210. https://doi.org/10.2174/1389203718666170921114437 [16]Gao, J., Yang, Y., & Zhou, Y. (2018). 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, 19(1), 29. https://doi.org/10.1186/s12859-018-2031-7 [17]Yang, Y., Gao, J., Wang, J., Heffernan, R., Hanson, J., Paliwal, K., & Zhou, Y. (2018). Sixty-five years of the long march in protein secondary structure prediction: the final stretch? Brief Bioinform, 19(3), 482-494. https://doi.org/10.1093/bib/bbw129 [18]Gao, J., Tao, X.-W., Zhao, J., Feng, Y.-M., Cai, Y.-D., & Zhang, N. (2017). Computational Prediction of Protein Epsilon Lysine Acetylation Sites Based on a Feature Selection Method. Comb Chem High Throughput Screen, 20(7), 629-637. https://doi.org/10.2174/1386207320666170314093216 [19]Wang, T., Zheng, W., Wuyun, Q., Wu, Z., Ruan, J., Hu, G., & Gao, J.*(2017). PrAS: Prediction of amidation sites using multiple feature extraction. Comput Biol Chem, 66, 57-62. https://doi.org/10.1016/j.compbiolchem.2016.11.004 [20]Gao, J., Yang, Y., & Zhou, Y. (2016). Predicting the errors of predicted local backbone angles and non-local solvent- accessibilities of proteins by deep neural networks. Bioinformatics, 32(24), 3768-3773. https://doi.org/10.1093/bioinformatics/btw549 [21]Gao, J., Cui, W., Sheng, Y., Ruan, J., & Kurgan, L. (2016). PSIONplus: Accurate Sequence-Based Predictor of Ion Channels and Their Types. PLoS One, 11(4), e0152964. https://doi.org/10.1371/journal.pone.0152964 [22]Zheng, W., Ruan, J., Hu, G., Wang, K., Hanlon, M., & Gao, J.* (2015). Analysis of Conformational B-Cell Epitopes in the Antibody-Antigen Complex Using the Depth Function and the Convex Hull. PLoS One, 10(8), e0134835. https://doi.org/10.1371/journal.pone.0134835 [23]Zheng, W., Zhang, C., Hanlon, M., Ruan, J., & Gao, J.* (2014). An ensemble method for prediction of conformational B-cell epitopes from antigen sequences. Comput Biol Chem, 49, 51-58. https://doi.org/10.1016/j.compbiolchem.2014.02.002 [24]Gao, J., Hu, G., Wu, Z., Ruan, J., Shen, S., Hanlon, M., & Wang, K. (2014). Improved prediction of protein crystallization, purification and production propensity using hybrid sequence representation. Current Bioinformatics, 9(1), 57-64. [25]Gao, J., & Kurgan, L. (2014). Computational prediction of B cell epitopes from antigen sequences. Methods Mol Biol, 1184, 197-215. https://doi.org/10.1007/978-1-4939-1115-8_11 [26]Wang, K., Gao, J., Shen, S., Tuszynski, J. A., Ruan, J., & Hu, G. (2013). An accurate method for prediction of protein-ligand binding site on protein surface using SVM and statistical depth function. Biomed Res Int, 2013, 409658. https://doi.org/10.1155/2013/409658 [27]Gao, J., Zhang, N., & Ruan, J. (2013). Prediction of protein modification sites of gamma-carboxylation using position specific scoring matrices based evolutionary information. Comput Biol Chem, 47, 215-220. https://doi.org/10.1016/j.compbiolchem.2013.09.002 [28]Zhang, H., Zhang, T., Gao, J., Ruan, J., Shen, S., & Kurgan, L. (2012). Determination of protein folding kinetic types using sequence and predicted secondary structure and solvent accessibility. Amino Acids, 42(1), 271-283. https://doi.org/10.1007/s00726-010-0805-y [29]Gao, J., Faraggi, E., Zhou, Y., Ruan, J., & Kurgan, L. (2012). BEST: improved prediction of B-cell epitopes from antigen sequences. PLoS One, 7(6), e40104. https://doi.org/10.1371/journal.pone.0040104 [30]Hu, G., Gao, J., Wang, K., Mizianty, M. J., Ruan, J., & Kurgan, L. (2012). Finding protein targets for small biologically relevant ligands across fold space using inverse ligand binding predictions. Structure, 20(11), 1815-1822. https://doi.org/10.1016/j.str.2012.09.011 [31]Wang, K., Cui, W., Hu, G., Gao, J., Wu, Z., Qiu, X., Ruan, J., Feng, Y., Qi, Z., Shao, Y., & Tuszynski, J. A. (2012). Computable features required to evaluate the efficacy of drugs and a universal algorithm to find optimally effective drug in a drug complex. PLoS One, 7(3), e33709. https://doi.org/10.1371/journal.pone.0033709 [32]Chen, K., Mizianty, M. J., Gao, J., & Kurgan, L. (2011). A critical comparative assessment of predictions of protein-binding sites for biologically relevant organic compounds. Structure, 19(5), 613-621. https://doi.org/10.1016/j.str.2011.02.015 [33]Gao, J., Zhang, T., Zhang, H., Shen, S., Ruan, J., & Kurgan, L. (2010). Accurate prediction of protein folding rates from sequence and sequence-derived residue flexibility and solvent accessibility. Proteins, 78(9), 2114-2130. https://doi.org/10.1002/prot.22727 Academic ExchangeAwardsResearch Achievements |