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方坚松 研究员
2020-03-23 14:13     (点击: )

 

方坚松 FANG JIANSONG 研究员

所属学院(所):科技创新中心

导师类别: 硕士生导师

科研方向:中医药学新技术新方法、老年痴呆药理学

/博士招生学院:科技创新中心

学科领域:中药学

个人简介

方坚松,1986年出生,广东揭阳人,广州中医药大学科技创新中心副研究员、硕士研究生导师、北京协和医学院(清华大学医学部)药理学博士,国家留学基金委公派克利夫兰医学中心博士后。长期从事基于网络医学框架下的中医药学新技术新方法研究,运用前沿网络医学及人工智能等技术,深度挖掘药物与临床医学数据以及多尺度生物学数据,发展系列原创的中药网络医学研究方法及工具,服务于中医防治疾病的现代生物学基础、中药及天然产物(或老药)的靶标发现、机制阐明、以及复杂性疾病(老年痴呆及肿瘤)的转化医学等研究。目前累计以第一作者或通讯作者(含共同)在Nature子刊Nature AgingCell子刊Cell Chem Biol (IF=8.12), Genome Biol (IF=13.58)Med Res Rev (IF=12.94)Brief Bioinform (IF=11.62)Acta Pharm Sin B (IF=11.41)Mol Ther Nucleic Acids (IF=8.89) Cell Biol Toxicol. (IF=6.69)Alzheimer's Research & Therapy (IF=6.96)Eur J Med Chem (IF=6.51) 以及Food Chem Toxicol (IF=6.01)等期刊发表SCI论文39篇,累计一作及通讯影响因子222,中科院二区以上文章29篇,中科院一区文章10篇,谷歌学术引用1620余次(H因子24)。


学术兼职

1) 学术团体委员:中国药理学学会网络药理学委员、中国药理学会中药与天然产物专委会青年常务委员、中国抗癌协会肿瘤标志专业委员会肿瘤测序及大数据分析专家委员会委员、广东省药理学会神经与精神药理委员会委员。

2) 学术期刊编委会Frontiers in Pharmacology 客座主编Research TopicData mining and network-driven analysisdrug discovery and mechanism exploration by targeting vascular dysfunction),英文期刊Pharmacological Research: Modern Chinese Medicine编委, TCM Aging期刊青年编委。

3) 基金评审及SCI期刊审稿专家:国家自然基金评审专家。Nature Communications, Clinical and translational medicine, Pharmacological Research, Phytomedicine, Journal of Ethnopharmacology, Food & Function, Journal of Functional Foods, Journal of Alzheimer's Disease30余个SCI期刊审稿专家。

个人荣誉

国家一级学会中国药理学会青年药理学家2019年,全国共8名);

入选斯坦福大学发布的2020年度全球前2%顶尖科学家榜单【药理&药学领域】

近五年代表作(第一及通讯作者)

(1) Fang J#, Zhang P#, Zhou Y#, Chiang WC#, Tan J, Hou Y, Stauffer S, Li L, Pieper AA, Cummings J, Cheng F*. Endophenotype-based in silico network medicine discovery combined with insurance records data mining identifies sildenafil as a candidate drug for Alzheimer’s disease. Nature Aging 2021, in press (Nature子刊)

(2) Fang J, Pieper AA, Nussinov R, et al. Harnessing endophenotypes and network medicine for Alzheimer's drug repurposing. Med Res Rev. 2020; 40(6):2386-2426.IF=12.94, 中科院一区)

(3) Huang Y, Fang J*, Lu W*, Wang Z, Wang Q, Hou Y, Jiang X, Reizes O, Lathia J, Nussinov R, Eng C, Cheng F*. A systems pharmacology approach uncovers wogonoside as a novel angiogenesis inhibitor of triple-negative breast cancer by targeting Hedgehog signaling, Cell Chem Biol, 2019; 26: 1-16. (IF=8.12, 中科院一区,Cell子刊

(4) Fang J, Liu C, Wang Q, Lin P, and Cheng F*. In silico polypharmacology of natural products. Brief Bioinform, 2018;19(6):1153-1171. (IF=11.62, 中科院一区

(5) Fang J, Wu P, Yang R, Gao L, Li C, Wang D, Wu S, Liu AL*, Du GH*. Inhibition of acetylcholinesterase by two genistein derivatives: kinetic analysis, molecular docking and molecular dynamics simulation. Acta Pharm Sin B 2014;4(6):430-7. IF=11.41, 中科院一区

(6) Zhou Y#, Zhao J#, Fang J#, Martin W, Li L, Nussinov R, Chan TA, Eng C, and Cheng F*. My personal mutanome: a computational genomic medicine platform for searching network perturbing alleles linking genotype to phenotype. Genome Biol. 2021 Jan 29;22(1):53. IF=13.58, 中科院一区)

(7) Hong H#, Mo Y#, Li D#, Xu Z, Liao Y, Yin P, Liu X, Xia Y, Fang J*, Wang Q* and Fang S*. Aberrant Expression Profiles of lncRNAs and Their Associated Nearby Coding Genes in the Hippocampus of the SAMP8 Mouse Model with AD. Mol Ther Nucleic Acids. 2020; 20:140-154. IF=8.89

(8) Huang Y, Zhang Y, Wan T, Mei Y, Wang Z, Xue J, Luo Y, Li M, Fang S, Pan H, Wang Q*, Fang J*.Systems pharmacology approach uncovers Ligustilide attenuates experimental colitis in mice by inhibiting PPARγ-mediated inflammation pathways. Cell Biol Toxicol. 2021 Feb;37(1):113-128.IF=6.69, 中科院二区)

(9) Wu Q, Fan X, Hong H, Gu Y, Liu Z, Fang S, Wang Q, Cai C, Fang J*. Comprehensive assessment of side effects in COVID-19 drug pipeline from a network perspective. Food Chem Toxicol . 2020;145:111767.IF=6.01, 中科院一区

(10) Fang J, Cai C, Chai Y, Zhou J, Huang Y, Gao L, Wang Q, Cheng F*. Quantitative and systems pharmacology 4. Network-based analysis of drug pleiotropy on coronary artery disease. Eur J Med Chem 2019; 161:192-204. IF=6.51, 中科院一区

(11) Zhou Y#, Fang J#, Bekris LM, Kim YH, Pieper AA, Leverenz JB, Cummings J, Cheng F. AlzGPS: a genome-wide positioning systems platform to catalyze multi-omics for Alzheimer's drug discovery. Alzheimers Res Ther. 2021;13(1):24. IF=6.98, 中科院二区)

(12) Li D#, Cai C#, Liao Y#, Wu Q, Ke H, Guo P, Wang Q, Ding B, Fang J*, Fang S*. Systems Pharmacology Approach Uncovers the Therapeutic Mechanism of Medicarpin against Scopolamine-induced Memory Loss. Phytomedicine. 2021;91:153662. (IF=5.34,中科院一区)

(13) Guo P, Cai C, Wu X, Fan , Huang W, Zhang Y*, Fang J*. An Insight Into the Molecular Mechanism of Berberine Towards Multiple Cancer Types Through Systems Pharmacology. Front Pharmacol 2019;10:857. IF=5.81

(14) Wu Q#, Cai C#, Guo P, Chen M, Wu X, Zhou J, Luo Y, Zou Y, Liu AL, Wang Q, Kuang Z*, Fang J*. In Silico Identification and Mechanism Exploration of Hepatotoxic Ingredients in Traditional Chinese Medicine. Front Pharmacol 2019;10:458. IF=5.81

(15) Fang J, Gao L, Wang Q*, Cheng F*. Quantitative and systems pharmacology 3. Network-based identification of new targets for natural products enables potential uses in aging-associated disorders. Front Pharmacol. 2017; 8: 747. IF=5.81

(16) Fang J#, Wu Z#, Cai C, Wang Q, Tang Y*, Cheng F*. Quantitative and systems pharmacology. 1. In silico prediction of drug-target interactions of natural products enables new targeted cancer therapy. J Chem Inf Model. 2017; 57(11): 2657-2671. IF=4.96

(17) Fang J, Wang L, Wu T, Yang C, Gao L, Cai H, Liu J, Fang S, Chen Y, Tan W*, Wang Q*. Network pharmacology-based study on the mechanism of action for herbal medicines in Alzheimer treatment. J Ethnopharmacol. 2017; 196:281-292IF=4.36

(18) Fang J, Cai C, Wang Q, Ping L, Zhao Z*, and Cheng F*. Systems Pharmacology-Based Discovery of Natural Products for Precision Oncology Through Targeting Cancer Mutated Genes. CPT Pharmacometrics Syst Pharmacol. 2017; 6(3):177-187. IF=4.05

(19) Fang J#, Wu Q#, Ye F#, Cai C, Xu L, Gu Y, Wang Q, Liu A-L*, Tan W*, Du G-H*. Network-Based Identification and Experimental Validation of Drug Candidates Toward SARS-CoV-2 via Targeting Virus–Host Interactome. Front. Genet. 2021; 12:728960IF=4.65

(20) Cai C#, Wu Q#, Hong H, He L, Liu Z, Gu Y, Zhang S, Wang Q, Fan X*, Fang J*. In silico identifcation of natural products from traditional Chinese medicine for cancer

immunotherapy. Sci Rep . 2021 Feb 8;11(1):3332.IF=4.38

(21) Li J, Fang J*, Qin X*, Gao L*. Metabolomics Profiling Reveals the Mechanism of Caffeic Acid in Extending Lifespan in Drosophila melanogaster. Food Funct. 2020. 11(9):8202-8213.IF=5.40, 中科院一区)

(22) Luo Y#, Li D#, Liao Y#, Cai C, Wu Q, Ke H, Liu X, Li H, Hong H, Xu Y, Wang Q*, Fang J*, Fang S*. Systems Pharmacology Approach to Investigate the Mechanism of Kai-Xin-San in Alzheimer’s Disease. Front Pharmacol. 2020; 11: 381. IF=5.81

(23) Liu Z#, Cai C#, Du J#, Liu B, Cui L, Fan X, Fang J*, Xie L*.TCMIO: A Comprehensive Database of Traditional Chinese Medicine on Immuno-Oncology. Front Pharmacol. 2020; 11: 439. IF=5.81

(24) Cai C, Guo P, Zhou Y, Zhou J, Wang Q, Zhang F, Fang J*, Cheng F*. Deep Learning-Based Prediction of Drug-Induced Cardiotoxicity. J Chem Inf Model 2019;59(3):1073-1084. IF=4.96

(25) Cai C, Fang J*, Guo P, Wang Q, Hong H, Moslehi J, Cheng F*. In Silico Pharmacoepidemiologic Evaluation of Drug-Induced Cardiovascular Complications Using Combined Classifiers. J Chem Inf Model 2018;58(5):943-956 IF=4.96

(26)  Cai H, Luo Y, Yan X, Fang J*, Wang Q*, Xu J*. The mechanisms of Bushen-Yizhi formula as a therapeutic agent against Alzheimer’s disease. Sci Rep 2018;8(1):3104. IF=4.38


项目主持

1) 国家自然面上项目(82074278):基于网络距离法探讨--理论调控内质网应激防治AD及补肾益智方干预的机制,2021.01-2024.1255万,主持(在研);

2) 国家自然青年基金(81603318):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,2017.01-2019.1217万,主持(已结题);

3) 广东省教育厅生物医药与健康重点领域专项:基于网络距离法的中药肝毒性预测及其毒理机制研究(No. 2021ZDZX2001) 2022.01-2024.1230万,主持(在研);

4) 广东省教育厅普通高校特色创新类项目: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,2017.04-2018.1210万,主持(已结题);

5) 双一流学科协同创新团队培育项目(2021xk68):中药网络医学发展与应用,2021.06-2024.0560万,主持(在研);

6) 广州中医药大学青年英才项目,2020-202320万,主持(在研);

7) 双一流大学特色培育项目(xkp2019005 :基于系统药理学的抗肿瘤活性天然产物发现,2019.04-2020.1240万,主持(已结题);

8) 高水平大学青年科研培育项目(2019QNPY05): 基于网络距离邻近法预测中药天然产物抗三阴性乳腺癌活性及作用机制研究,2019.05-2021.1225万,主持(已结题)。

9)高水平大学面上项目(A1-AFD018171Z11027):中草药-靶标数据库构建及其应用研究。2017-201820万,主持(已结题)。

 

 

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