Zeng, Jianyang

NeoDTI: neural integration of neighbor information from a heterogeneous network for discovering new drug–target interactions

Wan, F., Hong, L., Xiao, A., Jiang, T., & Zeng, J. (2019) · Bioinformatics

Computational Drug Discovery MethodsBioinformatics and Genomic Networks

Cited by 381

An integrative drug repositioning framework discovered a potential therapeutic agent targeting COVID-19

Ge, Y., Tian, T., Huang, S., Wan, F., Li, J., Li, S., Wang, X., Yang, H., Hong, L., Wu, N., et al. (2021) · Signal Transduction and Targeted Therapy

Computational Drug Discovery MethodsSARS-CoV-2 and COVID-19 Research

Cited by 300

Integrative data analysis of multi-platform cancer data with a multimodal deep learning approach

Liang, M., Li, Z., Chen, T., & Zeng, J. (2015) · IEEE/ACM Transactions on Computational Biology and Bioinformatics

Gene expression and cancer classificationBioinformatics and Genomic Networks

Cited by 231

DeepCPI: A Deep Learning-Based Framework for Large-Scale in Silico Drug Screening

Wan, F., Zhu, Y., Hu, H., Dai, A., Cai, X., Chen, L., Gong, H., Xia, T., Yang, D., Wang, M.-W., et al. (2019) · Genomics, Proteomics & Bioinformatics

Computational Drug Discovery MethodsMachine Learning in Bioinformatics

Cited by 92

A community challenge for a pancancer drug mechanism of action inference from perturbational profile data

Douglass, E. F., Allaway, R. J., Szalai, B., Wang, W., Tian, T., Fernández-Torras, A., Realubit, R., Karan, C., Zheng, S., Pessia, A., et al. (2022) · Cell Reports Medicine

Computational Drug Discovery MethodsGene expression and cancer classification

Cited by 68

Benchmarking Compound Activity Prediction for Real-World Drug Discovery Applications

Zeng, J., Tian, T., Li, S., Zhang, Z., Chen, L., Zou, Z., & Zhao, D. (2023) · Communications Chemistry

Computational Drug Discovery MethodsMachine Learning in Materials Science

Cited by 34