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首页 /首页 /师资力量 /教师名录 /计算机科学与技术 /正文

蔡垂浦

蔡垂浦

职称:副教授

联系方式:

电子邮箱:chpcai@stu.edu.cn

办公地址:东海岸校区D栋南塔-516


个人简介:

蔡垂浦,博士,副教授,硕士研究生导师。主要研究兴趣为人工智能视角下的生物医药问题探索,包括基于机器学习的药物与天然产物的虚拟筛选、毒性评价和靶标识别;基于创新网络算法与多组学数据的复杂疾病精准医疗;基于系统药理学的中药及复方的作用机制分析等方面的交叉应用研究。近年来,以第一作者或通讯作者(含共同)在《J Chem Inf Model》《Food Chem Toxicol》《Front Pharmacol》等期刊发表SCI论文16篇,主编英文编著一部。受邀担任Discover Oncology, Front Pharmacol, Front Neurosci期刊的客座主编及评审编辑、Brain Sciences期刊的专题顾问委员会委员等,同时兼任J Chem Inf Model,Neurochem Res, Phytother Res等多个学术期刊审稿专家。先后主持国家自然科学基金青年科学基金、广东省自然科学基金青年提升项目、广东省自然科学基金面上项目、中国博士后科学基金面上资助等科研项目5项,教育部教指委等教改项目2项,累计主持项目经费超过120万元。


教育及工作背景:

2018/09-2021/01广州中医药大学中西医结合基础研究中心,博士后

2013/09-2018/06广州中医药大学科技创新中心,博士

2009/09-2013/06河南大学计算机科学与技术专业,学士


主持或参与的科研项目:

1.国家自然科学基金青年科学基金项目.项目编号:81903912.基于深度学习的中药心脏毒性预测及系统毒理学机制研究. (2020.01-2022.12). 24万元.主持

2.广东省基础与应用基础研究基金自然科学基金(青年提升项目).基于多模态异构生物分子网络的中药配伍减毒多层级科学内涵研究. (2024.01-2026.12). 30万元.主持

3.广东省基础与应用基础研究基金自然科学基金(面上项目).深度学习与网络近邻法融合的中药心脏毒性预测框架及其应用. (2023.01-2025.12). 10万元.主持

4.中国博士后科学基金面上资助项目.项目编号:2019M662878.基于多任务深层网络的中药心血管安全性评价平台的构建(2019.11-2021.01). 8万元.主持

5.汕头大学“卓越人才”计划优秀青年人才科研项目.项目编号:NTF21034.基于网络距离邻近算法的药物毒性研究(2021.07-2024.06). 50万元.主持

6.国家自然科学基金面上项目.基于网络距离法探讨“肾-髓-脑”理论调控内质网应激防治AD及补肾益智方干预的机制(2021.01-2024.12). 55万元.参与

7.国家自然科学基金面上项目.基于肠道CYP3A酶代谢途径探讨补肾益智方提高蛇床子素生物利用度治疗老年性痴呆的机制研究. (2020.01-2023.12). 52万元.参与

8.国家自然科学基金地区科学基金项目.基于系统药理学与代谢组学研究当归芍药散调控脑能量代谢防治AD的作用机制(2022/01-2025/12). 34万元.参与

9.国家自然科学基金青年科学基金项目.基于QM/MM方法对中药提取物中的DXR抑制剂的优化. (2019.01-2021.12). 21万元.参与

10.国家自然科学基金地区科学基金项目.基于小分子探针技术研究协同阿霉素抗乳腺癌并减轻心脏毒性的药物作用靶点. (2017.01-2020.12). 40万元.参与

11.国家自然科学基金青年科学基金项目.基于网络多靶标探讨补肾益智方抗AD药效物质基础及作用机制. (2017.01-2019.12). 17万元.参与

12.广东省普通高校重点领域专项(生物医药与健康).基于网络距离法的中药肝毒性预测及其毒理机制研究. (2022.01-2024.12). 30万元.参与

13.广东省普通高校特色创新项目(自然科学).基于系统药理学的中药有效成分药物靶标识别及其功能验证研究. (2017.01-2018.12). 10万元.参与


学术论文:

1. Cai, C., Guo, P., Zhou, Y., Zhou, J., Wang, Q., Zhang, F., Fang, J. * and Cheng, F. * (2019) Deep Learning-Based Prediction of Drug-Induced Cardiotoxicity. J Chem Inf Model 59(3), 1073-1084.

2. Cai, C., Xu, L., Fang, J., Dai, Z., Wu, Q., Liu, X., Wang, Q., Fang, J.*, Liu, A.L. * and Du, G.H. * (2021b) In Silico Prediction and Bioactivity Evaluation of Chemical Ingredients Against Influenza A Virus From Isatis tinctoria L. Front Pharmacol 12, 755396.

3. Liu, X., Li, H., Hwang, E., Park, B., Xiao, Y., Liu, S., Fang, J., Kim, Y.*, Yi, T.* and Cai, C*. (2022) Chemical Distance Measurement and Systems Pharmacology Approach Uncover the Novel Protective Effects of Bio-transformed Ginsenoside C-Mc Against UVB-Irradiated Photoaging. Oxid Med Cell Longev. 2022 Feb 9;2022:4691576. (corresponding author)

4. Cai, C., Fang, J. *, Guo, P., Wang, Q., Hong, H., Moslehi, J. and Cheng, F*. (2018) In Silico Pharmacoepidemiologic Evaluation of Drug-Induced Cardiovascular Complications Using Combined Classifiers. J Chem Inf Model 58(5), 943-956.

5. Cai, C., Wu, Q., Hong, H., He, L., Liu, Z., Gu, Y., Zhang, S., Wang, Q., Fan, X.* and Fang, J.* (2021a) In silico identification of natural products from Traditional Chinese Medicine for cancer immunotherapy. Sci Rep 11(1), 3332.

6. Cai, C., Wu, Q., Luo, Y., Ma, H., Shen, J., Zhang, Y., Yang, L., Chen, Y., Wen, Z. * and Wang, Q. * (2017) In silico prediction of ROCK II inhibitors by different classification approaches. Mol Divers 21(4), 791-807.

7. Wu, Q.#, Chen, Y.#, Gu, Y., Fang, S., Li, W., Wang, Q.*, Fang, J*. and Cai, C*. (2020) Systems pharmacology-based approach to investigate the mechanisms of Danggui-Shaoyao-san prescription for treatment of Alzheimer's disease. BMC Complement Med Ther 20(1), 282. (corresponding author)

8. Cai C*, Fang J*, Ke H. (2023) Editorial: Traditional medicine and phytochemicals for neurodegenerative diseases treatment: application of interdisciplinary technologies in novel therapeutic target and drug discovery. Front Neurosci. 2023 Aug 8;17:1268710.

9. Wu, Q.#, Fan, X.#, Hong, H.#, Gu, Y., Liu, Z., Fang, S., Wang, Q., Cai, C*. and Fang, J*. (2020) Comprehensive assessment of side effects in COVID-19 drug pipeline from a network perspective. Food Chem Toxicol 145, 111767. (corresponding author)

10. Wang, X.#, Feng, Y.#, Liu, S., Liu, J., Pan, S., Wei, L., Ma, Y,, Liu, Z., Xing, Y., Wang, J., Cui, Q.*, Zhang, Y.*, Wang, T.*, Cai, C.*. (2023) Hydroxychloroquine attenuates hERG channel by promoting the membrane channel degradation: computational simulation and experimental evidence for QT-interval prolongation with hydroxychloroquine treatment. Cardiology. 2023 May 22. (corresponding author)

11. Li, D.#, Cai, C.#, Liao, Y.#, Wu, Q., Ke, H., Guo, P., Wang, Q., Ding, B., Fang, J. * and Fang, S. * (2021) Systems pharmacology approach uncovers the therapeutic mechanism of medicarpin against scopolamine-induced memory loss. Phytomedicine 91, 153662. (co-first author)

12. Liu, Z.#, Cai, C. #, Du, J. #, Liu, B., Cui, L., Fan, X., Wu, Q., Fang, J. * and Xie, L. * (2020) TCMIO: A Comprehensive Database of Traditional Chinese Medicine on Immuno-Oncology. Front Pharmacol 11, 439. (co-first author)

13. Guo, P.#, Cai, C.#, Wu, X., Fan, X., Huang, W., Zhou, J., Wu, Q., Huang, Y., Zhao, W., Zhang, F., Wang, Q., Zhang, Y. * and Fang, J. * (2019) An Insight Into the Molecular Mechanism of Berberine Towards Multiple Cancer Types Through Systems Pharmacology. Front Pharmacol 10, 857. (co-first author)

14. Wu, Q.#, Cai, C.#, Guo, P., Chen, M., Wu, X., Zhou, J., Luo, Y., Zou, Y., Liu, A.L., Wang, Q., Kuang, Z.* and Fang, J.* (2019) In silico Identification and Mechanism Exploration of Hepatotoxic Ingredients in Traditional Chinese Medicine. Front Pharmacol 10, 458. (co-first author)

15. (2023) Systems Pharmacology Dissection of Pharmacological Mechanisms of Xiaochaihu Decoction against Human Coronavirus. BMC Complementary Medicine and Therapies. (co-first author8)

16. Wu, Q.#, Su, S.#, Cai, C.#, Xu, L., Fan, X., Ke, H., Dai, Z., Fang, S., Zhuo, Y., Wang, Q., Pan, H., Gu, Y.* and Fang, J.* (2023) Network Proximity-based computational pipeline identifies drug candidates for different pathological stages of Alzheimer's disease. Comput Struct Biotechnol J 21, 1907-1920. (co-first author)

17. Fang, J., Cai, C., Chai, Y., Zhou, J., Huang, Y., Gao, L., Wang, Q.* and Cheng, F.* (2019) Quantitative and systems pharmacology 4. Network-based analysis of drug pleiotropy on coronary artery disease. Eur J Med Chem 161, 192-204.

18. Fang, J., C. Cai, Q. Wang, P. Lin, Z. Zhao, and F. Cheng*. (2017) Systems pharmacology-based discovery of natural products for precision oncology through targeting cancer mutated genes. CPT-Pharmacometrics and Systems Pharmacology, 6.

19. Fang, J.#, Wu, Z.#, Cai, C., Wang, Q., Tang, Y.* and Cheng, F.* (2017) Quantitative and Systems Pharmacology. 1. In Silico Prediction of Drug-Target Interactions of Natural Products Enables New Targeted Cancer Therapy. J Chem Inf Model 57(11), 2657-2671.

20. Fang, J.#, Wu, Q.#, Ye, F.#, Cai, C., Xu, L., Gu, Y., Wang, Q., Liu, A.L.*, Tan, W.* and Du, G.H.* (2021) Network-Based Identification and Experimental Validation of Drug Candidates Toward SARS-CoV-2 via Targeting Virus-Host Interactome. Front Genet 12, 728960.

21. Luo, Y.#, Li, D.#, Liao, Y.#, Cai, C., Wu, Q., Ke, H., Liu, X., Li, H., Hong, H., Xu, Y., Wang, Q., Fang, J.* and Fang, S*. (2020) Systems Pharmacology Approach to Investigate the Mechanism of Kai-Xin-San in Alzheimer's Disease. Front Pharmacol 11, 381.

22. Hao N, Bai X, Hu A, Zhao G, Chen Y, Zhao J, Ling Q, Li X, Cai C, Wang Q, Wang Z*, Fang J*. (2023) Assessing the Global, Regional, and National Impact of High Body Mass Index on Alzheimer's Disease and Other Dementias Between 1990 and 2019. J Alzheimers Dis. Nov 30.

23.蔡垂浦,代朝,方坚松*.基于大规模比较蛋白质组学的内表型网络揭示阿尔茨海默病的血管功能障碍特征[J].中国药理学与毒理学杂志,2023,37(S1):20.

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