Dr Hongbin Yang

Research Associate

Dr Hongbin Yang was awarded the second junior CAMS fellowship in 2019. Hongbin started his post-doctoral research project focussed on computational toxicology in November under the academic mentorship of CAMS steering committee member Dr Andreas Bender. Hongbin will have access to the industry knowledge and resources of both AstraZeneca and GSK.

After completing a BSc at East China University of Science and Technology (ECUST) in Shanghai, Hongbin continued his studies there and was awarded a PhD entitled; In Silico Prediction of Chemical ADMET Properties via Statistics and Machine Learning Methods, during which Hongbin focused on structural alerts and QSAR techniques for toxicity prediction and toxicology research. After graduation, Hongbin had a short-term internship in WuXi AppTec (Shanghai), where he combined cheminformatics and deep learning techniques to design retro-synthesis plans.

Publications

Applications of Artificial Intelligence in Drug Design: Opportunities and Challenges

M Thomas, A Boardman, M Garcia-Ortegon, H Yang, C de Graaf, A Bender

Methods in molecular biology (Clifton, N.J.)

(2021)

2390

(doi: 10.1007/978-1-0716-1787-8_1)

Discovery of Natural Products Targeting NQO1 via an Approach Combining Network-Based Inference and Identification of Privileged Substructures.

Z Wu, Q Wang, H Yang, J Wang, W Li, G Liu, Y Yang, Y Zhao, Y Tang

J Chem Inf Model

(2021)

2486

(doi: 10.1021/acs.jcim.1c00260)

CATMoS: Collaborative Acute Toxicity Modeling Suite

K Mansouri, AL Karmaus, J Fitzpatrick, G Patlewicz, P Pradeep, D Alberga, N Alepee, TEH Allen, D Allen, VM Alves, CH Andrade, TR Auernhammer, D Ballabio, S Bell, E Benfenati, S Bhattacharya, JV Bastos, S Boyd, JB Brown, SJ Capuzzi, Y Chushak, H Ciallella, AM Clark, V Consonni, PR Daga, S Ekins, S Farag, M Fedorov, D Fourches, D Gadaleta, F Gao, JM Gearhart, G Goh, JM Goodman, F Grisoni, CM Grulke, T Hartung, M Hirn, P Karpov, A Korotcov, GJ Lavado, M Lawless, X Li, T Luechtefeld, F Lunghini, GF Mangiatordi, G Marcou, D Marsh, T Martin, A Mauri, EN Muratov, GJ Myatt, D-T Nguyen, O Nicolotti, R Note, P Pande, AK Parks, T Peryea, AH Polash, R Rallo, A Roncaglioni, C Rowlands, P Ruiz, DP Russo, A Sayed, R Sayre, T Sheils, C Siegel, AC Silva, A Simeonov, S Sosnin, N Southall, J Strickland, Y Tang, B Teppen, IV Tetko, D Thomas, V Tkachenko, R Todeschini, C Toma, I Tripodi, D Trisciuzzi, A Tropsha, A Varnek, K Vukovic, Z Wang, L Wang, KM Waters, AJ Wedlake, SJ Wijeyesakere, D Wilson, Z Xiao, H Yang, G Zahoranszky-Kohalmi, AV Zakharov, FF Zhang, Z Zhang, T Zhao, H Zhu, KM Zorn, W Casey, NC Kleinstreuer

Environmental health perspectives

(2021)

129

47013

(doi: 10.1289/ehp8495)

Network-based modeling of herb combinations in traditional Chinese medicine

Y Wang, H Yang, L Chen, M Jafari, J Tang

Briefings in bioinformatics

(2021)

bbab106

(doi: 10.1093/bib/bbab106)

Comparison of Cellular Morphological Descriptors and Molecular Fingerprints for the Prediction of Cytotoxicity- and Proliferation-Related Assays.