职称

讲师

学位

博士

电话

邮箱

ldzhu@mail.hzau.edu.com

工作单位

华中农业大学信息学院  政治面貌：群众

研究方向

生物信息学，大数据，数据挖掘，机器学习

教育经历

2008.9-2015.1： 武汉大学计算机学院，计算机科学与技术，博士

2006.9-2008.6： 挪威阿基德大学，ICT，硕士

2002.9-2006.6：武汉大学计算机学院，计算机科学与技术，本科

工作经历

2015.1-2019.1：华中农业大学博士后

2009.1-2009.10：新加坡南洋理工大学CS，研究助理

科研成果

本课题组长期招聘各级研究人员，有从事教学工作意向的人员，也可以和我联系。

近期论文

1. Quan Yuan^#, Luo Zhi-Hui^#,   Yang Qing-Yong^#, Li Jiang, Zhu Qiang, Liu Ye-Mao, Lv Bo-Min, Cui   Ze-Jia, Qin Xuan, Xu Ying, Zhu Li-Da*, Zhang   Hong-Yu*. Systems chemical genetics-based drug discovery: prioritizing agents   targeting multiple/reliable disease-associated genes as drug candidates.2019.   Frontiers in Genetics.

2. Quan Yuan^#, Liu Meng-Yuan ^#,   Liu Ye-Mao, Zhu Li-Da, Wu Yu-Shan, Luo Zhi-Hui, et al.   (2018). Facilitating anti-cancer combinatorial drug discovery by targeting   epistatic disease genes. Molecules, 23(4), 736

3. Wang Hui^#, Wang Gang, Zhu Li-Da, et al.   Subnetwork identification and chemical modulation for neural regeneration: A   study combining network guided forest and heat diffusion model[J].   Quantitative Biology, 2018, 6(4).

4. Yuan Jun^#, Zhu Li-Da^*, Zhu Fu-xi.   Predicting potential Drug-Target Interactions with Multi-label learning and   ensemble learning. International Conference on Intelligent Computing   (ICIC2019), Accepted

5. Zhu Li-Da^#, He Chang-Shou,   Liu Ye-Mao, et al. A systems chemical biology approach to identify targets of   antibacterial agents: A case study of Chelerythrine and Rhein, IEEE   International Conference on Bioinformatics and Biomedicine. IEEE,   2015:1047-1056.

6. Zhu Li-Da^#, Zhu Fuxi*.   Identification association of drug-disease by using functional gene module   for breast cancer[J]. Bmc Medical Genomics, 2015, 8(S2):1-8.

7. Zhu Li-Da^#, Liu Juan*.   Integration of a prognostic gene module with a drug sensitivity module to   identify drugs that could be repurposed for breast cancer therapy. [J].   Computers in Biology & Medicine, 2015, 61(C):163.

8. Zhu Li-Da^#, Liu Juan*,   Liang Feng-Ji, et al. Predicting response to preoperative chemotherapy agents   by identifying drug action on modeled microRNA regulation networks[J]. Plos   One, 2014, 9(5):e98140.

9. Wang Wei, Liu J*, Xiong Yi,Zhu Li-Da, et al.   Analysis and classification of DNA-binding sites in single-stranded and   double-stranded DNA-binding proteins using protein information[J]. IET   Systems Biology, 2014, 8(4):176.

10. Zhu Li-Da^#, Li Juan*.   Water Bioinformatics: An Association between Estrogen Degradation and 16S   rRNA Motifs, International Conference on Bioinformatics and

专利

1.一种基于热扩散网络的药物发现方法及其应用，张红雨; 全源; 王晖; 朱丽达; 许璇; 杨庆勇; 黄清中国专利, CN201710917312.2

2.一种药物活性的预测方法及其应用，张红雨; 全源; 朱丽达; 李姜; 柳叶茂; 杨庆勇; 黄清，中国专利, CN201710769899.7

3.基于基因表达和药物靶标的药物活性预测与筛选方法，张红雨; 周雄辉; 朱丽达; 全源; 崔泽嘉; 杨庆勇，中国专利, CN201610361900.8

4.一种基于机器学习的药物活性预测方法，张红雨; 朱丽达; 罗志辉; 全源; 朱强; 杨庆勇，中国专利, CN201610067573.5

5.多靶标药物和/或药物组合的筛选方法，张红雨; 杨庆勇; 全源; 罗志辉; 朱丽达；中国专利, ZL201510288863.8

专著

人工智能习题解析与实践（21世纪高等学校计算机专业实用规划教材）。清华出版社。朱福喜、朱丽达   编著。ISBN: 9787302519669

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