辦公室：上海大學寶山校區東區19号樓336

電 話： 021-66132399

E-mail： bingniu@shu.edu.cn

個人簡介：

2000年本科畢業于上海大學， 2009年博士畢業于上海大學。2009年到上海大學生命科學學院工作。2014-2015在哈佛醫學院訪學，兼任Current bioinformatics, Biomed research international, International journal of clinical practice編委。

代表性研究成果

開發實時查詢的外來入侵動物及産品風險分析數據庫. 針對口岸一線查驗人員現場查驗決策無信息支撐的難題，課題利用互聯網數據庫技術，開發了外來入侵動物及産品風險分析數據庫。數據庫經過了海關系統8家單位試用，經試用，該數據庫簡單易用，可以為現場決策提供信息支撐，也可以為進境動物風險評估提供技術支持。

研究領域：

主要從事生物信息和機器學習相關交叉領域的研究，包括：

1）藥物分子設計；

2）疫病爆發和傳播的風險預警；

3）基于大數據的食品安全風險預警。

近五年代表性論文（通訊作者 *）

[1] Zhang, H., Niu, B^*.et al., Risk assessment of heavy metals contamination in pork. Food Control, 2022, 135.(一區)

[2] Yang, Y., Niu, B.et al., Risk assessment and early warning of the presence of heavy metal pollution in strawberries. Ecotoxicology and Environmental Safety, 2022, 243. (一區)

[3] Zheng, L., Niu, B^*.et al., Discovery of MAO-B Inhibitor with Machine Learning, Topomer CoMFA, Molecular Docking and Multi-Spectroscopy Approaches. Biomolecules, 2022, 12, (10). (二區)

[4] Niu, B., et al., Spatiotemporal characteristics analysis and potential distribution prediction of peste des petits ruminants (PPR) in China from 2007-2018. Transboundary and emerging diseases, 2022. (一區)

[5] Qin, X., Niu, B^*.et al., Dehydrozaluzanin C, a novel type of anti-bacterial agent which targets transporting proteins, Opp and OpuC. Genes & Diseases, 2022, 9, (4), 830-832. (一區)

[6] Zhang, S., Niu, B^*.et al., Epidemiologic and import risk analysis of Peste des petits ruminants between 2010 and 2018 in India. Bmc Veterinary Research, 2022, 18, (1), 419-419. (二區)

[7] Zhang, S., Niu, B^*.et al., Assessing the export trade risk of bluetongue virus serotypes 4 and 8 in France. Risk Analysis, 2022. (二區)

[8] Zhang, H., Niu, B^*.et al., Landscape of immune infiltration in entorhinal cortex of patients with Alzheimer & apos;s disease. Frontiers in Pharmacology, 2022, 13. (二區)

[9] Yang, Y., Niu, B^*.et al., Risk Assessment of Veterinary Drug Residues in Pork on the Market in the People's Republic of China. Journal of food protection, 2022, 85, (5), 815-827.

[10] Yang, Q.-l., Niu, B.et al., Spatio-temporal and trade export risk analysis of bluetongue disease in France: A case study of China. Frontiers in veterinary science, 2022, 9. (二區)

[11] Fang, H., Niu, B^*.et al., Loureirin B promotes insulin secretion through GLP-1R and AKT/PDX1 pathways. European Journal of Pharmacology, 2022, 936, 175377-175377.

[12] Wang, J., Niu, B^*et al., Risk assessment and integrated surveillance of foot-and-mouth disease outbreaks in Russia based on Monte Carlo simulation. Bmc Veterinary Research, 2021, 17, (1). (二區)

[13] Niu, B., et al., Safety risk assessment and early warning of chemical contamination in vegetable oil. Food Control, 2021, 125. (一區)

[14] Liu, Z., Niu, B.et al., NLRP3 inflammasome of renal tubular epithelial cells induces kidney injury in acute hemolytic transfusion reactions. Clinical and Translational Medicine, 2021, 11, (3). (一區)

[15] Ding, Y., Niu, B^*.et al., Loureirin B attenuates insulin resistance in HepG2 cells by regulating gluconeogenesis signaling pathway. European Journal of Pharmacology, 2021, 910.

[16] Zhou, X., Niu,B^*. et al., Data-driven thermal comfort model via support vector machine algorithms: Insights from ASHRAE RP-884 database. Energy and Buildings, 2020, 211. (一區)

[17] Niu, B., et al., Epidemic analysis of COVID-19 in Italy based on spatiotemporal geographic information and Google Trends. Transboundary and emerging diseases, 2020. (一區)

[18] Liang, R., Niu, B^*.et al., Prediction for global African swine fever outbreaks based on a combination of random forest algorithms and meteorological data. Transboundary and emerging diseases, 2020, 67, (2), 935-946. (一區)

[19] Xia, S., Niu, B^*. et al., CD28: A New Drug Target for Immune Disease. Current drug targets, 2020, 21, (6), 589-598.

[20] Niu, B., et al., Prediction for Global Peste des Petits Ruminants Outbreaks Based on a Combination of Random Forest Algorithms and Meteorological Data. Frontiers in veterinary science, 2020, 7, 570829-570829. (二區)

[21] Xie, J., Niu, B^*.et al., Progress in Target Drug Molecules for Alzheimer's Disease. Current Topics in Medicinal Chemistry, 2020, 20, (1), 4-36.

[22] Niu, B., et al., Glioma stages prediction based on machine learning algorithm combined with protein-protein interaction networks. Genomics, 2020, 112, (1), 837-847. (二區)

[23] Niu, B., et al., 2D-SAR, Topomer CoMFA and molecular docking studies on avian influenza neuraminidase inhibitors. Computational and structural biotechnology journal, 2019, 17, 39-48. (二區)

[24] Xia, S., Niu, B^*.et al., CD28: A new drug target for immune disease. Current drug targets, 2019.

[25] Lu, Y., et al., Risk analysis of African swine fever in Poland based on spatio-temporal pattern and Latin hypercube sampling, 2014-2017. Bmc Veterinary Research, 2019, 15. (二區)

[26] Liang, R., Niu, B^*.et al., Identifying Cancer Targets Based on Machine Learning Methods via Chou's 5-steps Rule and General Pseudo Components. Current Topics in Medicinal Chemistry, 2019, 19, (25), 2301-2317.

[27] Hu, Y., Niu, B^*.et al., Identify Compounds' Target Against Alzheimer's Disease Based on In-Silico Approach. Current Alzheimer Research, 2019, 16, (3), 193-208.

[28] Chen, J., Niu, B^*. et al., Retrospect and Risk Analysis of Foot-and-Mouth Disease in China Based on Integrated Surveillance and Spatial Analysis Tools. Frontiers in veterinary science, 2019, 6, 511-511. (二區)

[29] Wang, J., Niu, B^*.et al., Vesicular stomatitis forecasting based on Google Trends. Plos One, 2018, 13, (1).