侯庆振，山东大学国家健康医疗大数据研究院生物信息大数据中心主任，山东大学硕士生导师，山东产业技术研究院博士生导师，山东大学公共卫生学院生物统计学系副研究员，山东大学青年学者未来计划，中国生物工程学会计算生物学与生物信息学专委会委员，Frontiers in Molecular Biosciences专刊主编，Bioinformatics, PeerJ, Computational Biology and Chemistry 等多个杂志审稿人。

研究方向和领域：

生物信息学；蛋白质功能与结构预测；机器学习/深度学习方法分析解决生物学医学问题；单细胞转录组分析.主要致力于挖掘生物医学大数据的生物学意义，分析生物大分子结构和功能的关联。研究方向包括利用机器学习以及深度学习的方法，发展预测蛋白质结构与功能的算法及工具；整合表观基因组学，转录组学和蛋白组学进行多组学分析，探索疾病的分子机制；聚焦单细胞转录组测序数据分析，寻找细胞间异质性和差异表达基因等

Selected Publications：

1. Hou, Q., Rooman, M., & Pucci, F. (2023). Enzyme stability-activity trade-off: new insights from protein stability weaknesses and evolutionary conservation. Journal of Chemical Theory and Computation (Accepted).

2.Wang, C., Yuan, C., Wang, Y., Chen, R., Shi, Y., Patti, G., & Hou, Q. (2023). MPI-VGAE: protein-metabolite enzymatic reaction link learning by variational graph autoencoders. Briefings in Bioinformatics (Accepted). 

3. Hou, Q., Waury, K., Gogishvil,D., & Feenstra, A., (2022). Ten quick tips for sequence-based prediction of protein properties using machine learning. PLOS Computational Biology, PMID: 36454728. 

4. Hou, Q., Stringer, B., Waury, K., Capel, H., Haydarlou, R., Xue, F., Abeln, S., Heringa, J., & Feenstra, A., (2021). SeRenDIP-CE: Sequence-based Interface Prediction for Conformational Epitopes. Bioinformatics, btab321. 

5. Hou, Q., Pucci, F., Ancien, F., Kwasigroch, J. M., Bourgeas, R., & Rooman, M. (2021). SWOTein: A structure-based approach to predict stability Strengths and Weaknesses of prOTEINs. Bioinformatics, btab034.

6. Hou, Q., Kwasigroch, J. M., Rooman, M., & Pucci, F. (2020). SOLart: a structure-based method to predict protein solubility and aggregation.Bioinformatics,36(5), 1445-1452.

7. Hou, Q., De Geest, P. F., Griffioen, C. J., Abeln, S., Heringa, J., & Feenstra, K. A. (2019). SeRenDIP: SEquential REmasteriNg to DerIve profiles for fast and accurate predictions of PPI interface positions. Bioinformatics, 35(22), 4794-4796.

8. Hou, Q., De Geest, P. F., Vranken, W. F., Heringa, J., & Feenstra, K. A. (2017). Seeing the trees through the forest: sequence-based homo-and heteromeric protein-protein interaction sites prediction using random forest.  Bioinformatics, 33(10), 1479-1487.

9. Hou, Q., Pucci, F., Pan, F., Xue, F., Rooman, M., & Feng, Q. (2022). Using metagenomic data to boost protein structure prediction and discovery. Computational and Structural Biotechnology Journal.

10. Pan, F., Zhao, H., Nicholas, S., Maitland, E., Liu, R., & Hou, Q. (2021). Parents’ Decisions to Vaccinate Children against COVID-19: A Scoping Review. Vaccines, 9(12), 1476.

11. Hou, Q., Dutilh, B. E., Huynen, M. A., Heringa, J., & Feenstra, K. A. (2015). Sequence specificity between interacting and non-interacting homologs identifies interface residues–a homodimer and monomer use case. BMC bioinformatics, 16(1), 1-12.