Tailong Lei

Education:

PhD in Pharmacology, Zhejiang University, Hangzhou, Zhejiang,

Program in Drug Discovery and Predictive Toxicology

December 2017

Dissertation: The Theoretic Prediction of Drug Toxicity Based on Machine Learning Methods (Supervisor: Tingjun Hou)

Master of Science in Biophysics, University of Electronic Science and Technology of China, Chengdu, Sichuan,

Program in Neuroinformatics (Visual Electrophysiology and Computation)

June 2013

Thesis: Information Processing Mechanism of Responses of Non-Classical Receptive Field to Joint Multiple Stimulus Features in Cat’s Primary Visual Cortex (Supervisor: Chaoyi Li)

Bachelor of Science in Life Sciences, Ocean University of China, Qingdao, Shandong,

Program in Marine Biology and Biotechnology

June 2010

Focus on chemical modification and biological assessment for carboxymethyl chitosan (Supervisor: Baoqin Han)

Research Interests:

I am working on computational toxicology and in silico ADME model development. The objective of my study is to propose novel and improved prediction models of drug toxicity and metabolism using various chemoinformatics and bioinformatics approaches. My further study is to develop computational models to interpret mechanism of toxic actions and adverse outcome pathways.

Professional Activities

Reviewer for Chemical Biology & Drug Design (Wiley-Blackwell)

Member of Chinese Chemical Society (CCS)

Representative Publications:

1. Lei, T.; Sun, H.; Kang, Y.; Zhu, F.; Liu, H.; Zhou, W,; Wang, Z.; Li, D.; Li, Y.; Hou, T. ADMET evaluation in drug discovery. 18. Reliable prediction of chemical-induced urinary tract toxicity by boosting machine learning approaches. Mol. Pharmaceutics 2017, 14 (11): 3935-3953.

2. Lei, T.; Chen, F.; Liu, H.; Sun, H.; Kang, Y.; Li, D.; Li, Y.; Hou, T. ADMET evaluation in drug discovery. Part 17: Development of quantitative and qualitative prediction models for chemical-induced respiratory toxicity. Mol. Pharmaceutics 2017, 14 (7): 2407-2421.

3. Lei, T.; Li, Y.; Song, Y.; Li, D.; Sun, H.; Hou, T. ADMET evaluation in drug discovery: 15. Accurate prediction of rat oral acute toxicity using relevance vector machine and consensus modeling. J. Cheminformatics 2016, 8, (1): 1-6.

National Conferences Attended:

• Best Poster Award. The 31^th Annual Conference on the Chinese Chemical Society, Hangzhou, Zhejiang. (May 2018)

• Poster. The 14^th National Conference on Computational Chemistry, Nanjing, Jiangsu. (November 2017)

• Poster. The 30^th Annual Conference on the Chinese Chemical Society, Dalian, Liaoning. (July 2016)

• Poster. The 13^th National Conference on Computational Chemistry, Guangzhou, Guangdong. (November 2015)

• Participant. The 5^th Conference on Pharmaceutics of China, Hangzhou, Zhejiang. (September 2015)

• Participant. The 3^rd Symposium on Biomedical Applications based on High Performance Computing, Guangzhou, Guangdong. (November 2014)

• Participant. The 29^th National Conference on the Chinese Chemical Society, Beijing. (August 2014)

Workshops and Summer Schools Attended:

Presenter. English Writing Center Ongoing Education Workshop. Zhejiang University. (Fall 2017)

Participant. Summer School on Machine Learning in the Molecular Sciences. New York University, Shanghai. (Summer 2017)

Participant. “Crosstalk of Biology and Mathematics” Modern Biomathematics Workshop. Peking University. (Summer 2016)

Participant. Summer School on Brain Science and Intelligent Technology / IEEE workshop on communication among neuroscience, cognition and information. University of Electronic Science and Technology of China. (Summer 2011 & Summer 2012)

Student Communities:

• Investigator, the Graduate Student Investigation and Survey Research Division of the Graduate School of ZJU. September 2013 – September 2014.

• Bureau deputy of academic department, the Graduate Student Council of College of Pharmaceutical Sciences of ZJU. September 2013 – September 2014.

• Bureau deputy secretary-general, the Graduate Student Council of School of Life Science and Technology of UESTC. September 2010 – September 2011.

• Vice minister of technical department, OUC Calligraphy Society. September 2007 – June 2009.

• Vice minister of publicity department, OUC Biological Science and Technology Society. September 2007 – June 2009.

• Vice Secretary of Theory Department & Secretary of Network Department, OUC Student Society of the Study on the Theory of Socialism with Chinese Characteristics. September 2007 – June 2009.

Internships:

China Food and Drug Administration Institute of Executive Development, Beijing

August, 2012

• Good Clinical Management Practice (GCP) Training Course

Experimental Marine Biological Laboratory,

Institute of Oceanology, Chinese Academy of Sciences, Qingdao, Shandong

April 1, 2008 - July 31, 2008

• Sequence cloning of hemocyanin protein from Chinese shrimp (Fenneropenaeus chinensis)

Ocean and Marine Biology Survey, Jiaozhou Bay, Qingdao, Shandong

November, 2008

Botanical and Zoological Field Investigation, Mt. Lao, Qingdao, Shandong

July, 2007

Capabilities:

Programming Language – R, Python, Matlab, SQL, HTML

Familiar with Machine Learning/Data Science.

Drug Discovery and Predictive Toxicology using Computational Approaches– QSAR modeling, pharmacophore mapping, molecular simulations, toxicity assays

Neurobiology – Extracellular neuroelectrophysiology, neuromorphology, animal anaesthesia & surgery, electrode (array) producing, Cerebus 128, E-Prime, NeuroExplorer, SPM, etc.

Software – Chemical software: Discovery Studio, Material Studio, MOE, Sybyl, Schrödinger, RDKit, Lammps, Gromacs, Amber, PyMOL, VASP, Gaussian, ChemBioOffice, OpenBabel, VMD, ChemAxon, Dragon, Autodock, ToxRead, Toxtree, OECD QSARToolbox, HEX, GOLD, etc.

Statistical software: Origin, SPSS, VMware, Pipeline Pilot, KNIME, etc.

Bioinformatics software: CellDesigner, Cytoscape, Circos, UCSC Genome Browser, Premier Primer, MAGA, ClustalW, etc.

Personal Interests – Calligraphy, cyber-fictions/online novels, travelling, etc.