国家自然科学基金面上项目:基于深度神经网络学习的抗菌肽成药性优化及验证,在研
“十二五”重大新药创制专项:安替安吉肽等重大多肽药物研发,已完成
横向课题:微生物发酵法产番茄红素的工艺研究,在研
新型抗肿瘤胸腺肽衍生物的研究与开发,在研
新型重组抗栓肽的制备工艺,在研
计算机辅助药物设计、人工智能
国家自然科学基金面上项目:基于深度神经网络学习的抗菌肽成药性优化及验证,在研
“十二五”重大新药创制专项:安替安吉肽等重大多肽药物研发,已完成
横向课题:微生物发酵法产番茄红素的工艺研究,在研
新型抗肿瘤胸腺肽衍生物的研究与开发,在研
新型重组抗栓肽的制备工艺,在研
1. Shi G, Kang X, Dong F, Liu Y, Zhu N, Hu Y, Xu H, Lao X*, ZhengH*. DRAMP 3.0: an enhanced comprehensive data repository of antimicrobial peptides[J]. Nucleic Acids Research, 2022,50(D1): D488–D496
2. Zhu N, Dong F, Shi G, Lao X* , Zheng H*. Hordb a comprehensive database of peptide hormones[J]. Scientific Data, 2022, 9:187
3. Shi C,Dong F,Zhao G,Zhu N,Lao X *,Zheng H *. Applications of machine-learning methods for the discovery of NDM-1 inhibitors[J]. Chemical Biology & Drug Design, 2020. 96(5):1232-1243
4. Chen, JX;Shi, C;Kang, XY;Shen, XT;Lao, XZ*; Zheng, H*. Recent advances in fluorescence resonance energy transfer-based probes in nucleic acid diagnosis[J]. Analytical methods, 2020, 12(7):884
5. Shi, C;Chen, JX;Kang, XY;Zhao, GL;Lao, XZ*;Zheng, H*. Cheng S , Jiaxing C , Xinyue K , et al. Deep Learning in the Study of Protein-Related Interactions[J]. Protein and Peptide Letters, 2020, 27(5):359-369
6. Peng, RH;Xu, CY;Zheng, H*;Lao, XZ*. Modified Thymosin Alpha 1 Distributes and Inhibits the Growth of Lung Cancer in Vivo[J]. ACS OMEGA 2020.45(18):10374–10381
7. Cheng Shi,Jiaxin Chen,Bing Xiao,Xinyue Kang,Xingzhen Lao*, Zheng Heng*. Discovery of NDM-1 inhibitors from natural products. J Glob Antimicrob Resist 2019, 18:80-87
8. Cheng Shi,Jingxiao Bao,Ying Sun,Xinyue Kang,Xingzhen Lao*, Zheng Heng*. Discovery of Baicalin as NDM-1 inhibitor: Virtual screening, biological evaluation and molecular simulation. Bioorg Chem 2019, 88:102953
9. Cheng Shi, Jiaxin Chen, Xinyue Kang, Xutong Shen, Xingzhen Lao*, Zheng Heng*. Approaches for the discovery of metallo-β-lactamase inhibitors: A review. Chem Biol Drug Des 2019, 94(2):1427-1440
10. X Kang, F Dong, C Shi, S Liu, J Sun, J Chen, H Li, H Xu, X Lao* ,H Zheng*. DRAMP 2.0, an updated data repository of antimicrobial peptides. Scientific Data. 2019,6.148.