| NeoDTI: neural integration of neighbor information from a heterogeneous network for discovering new drug–target interactions F Wan, L Hong, A Xiao, T Jiang, J Zeng Bioinformatics 35 (1), 104-111, 2019 | 296 | 2019 |
| MONN: a multi-objective neural network for predicting compound-protein interactions and affinities S Li, F Wan, H Shu, T Jiang, D Zhao, J Zeng Cell Systems 10 (4), 308-322. e11, 2020 | 173 | 2020 |
| A data-driven drug repositioning framework discovered a potential therapeutic agent targeting COVID-19 Y Ge, T Tian, S Huang, F Wan, J Li, S Li, H Yang, L Hong, N Wu, E Yuan, ... BioRxiv, 2020.03. 11.986836, 2020 | 163 | 2020 |
| DeepCPI: A Deep Learning-Based Framework for Large-Scale in Silico Drug Screening F Wan, Y Zhu, H Hu, A Dai, X Cai, L Chen, H Gong, T Xia, D Yang, ... Genomics, Proteomics and Bioinformatics 17 (5), 478-495, 2019 | 154* | 2019 |
| A deep-learning framework for multi-level peptide–protein interaction prediction Y Lei, S Li, Z Liu, F Wan, T Tian, S Li, D Zhao, J Zeng Nature communications 12 (1), 5465, 2021 | 115 | 2021 |
| ACME: pan-specific peptide–MHC class I binding prediction through attention-based deep neural networks Y Hu, Z Wang, H Hu, F Wan, L Chen, Y Xiong, X Wang, D Zhao, W Huang, ... Bioinformatics 35 (23), 4946-4954, 2019 | 84 | 2019 |
| An integrative drug repositioning framework discovered a potential therapeutic agent targeting COVID-19 Y Ge, T Tian, S Huang, F Wan, J Li, S Li, X Wang, H Yang, L Hong, N Wu, ... Signal transduction and targeted therapy 6 (1), 165, 2021 | 79 | 2021 |
| Crowdsourced mapping of unexplored target space of kinase inhibitors A Cichońska, B Ravikumar, RJ Allaway, F Wan, S Park, O Isayev, S Li, ... Nature communications 12 (1), 3307, 2021 | 64 | 2021 |
| Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth AL Tarca, BA Pataki, R Romero, M Sirota, Y Guan, R Kutum, ... Cell Reports Medicine 2 (6), 2021 | 60 | 2021 |
| A novel machine learning framework for automated biomedical relation extraction from large-scale literature repositories L Hong, J Lin, S Li, F Wan, H Yang, T Jiang, D Zhao, J Zeng Nature Machine Intelligence 2 (6), 347-355, 2020 | 56 | 2020 |
| Deep generative models for peptide design F Wan, D Kontogiorgos-Heintz, C de la Fuente-Nunez Digital Discovery 1 (3), 195-208, 2022 | 48 | 2022 |
| A community challenge for a pancancer drug mechanism of action inference from perturbational profile data EF Douglass, RJ Allaway, B Szalai, W Wang, T Tian, A Fernández-Torras, ... Cell Reports Medicine 3 (1), 2022 | 43 | 2022 |
| Secure multiparty computation for privacy-preserving drug discovery R Ma, Y Li, C Li, F Wan, H Hu, W Xu, J Zeng Bioinformatics 36 (9), 2872-2880, 2020 | 24 | 2020 |
| Exp2sl: a machine learning framework for cell-line-specific synthetic lethality prediction F Wan, S Li, T Tian, Y Lei, D Zhao, J Zeng Frontiers in pharmacology 11, 112, 2020 | 19 | 2020 |
| Deep learning with feature embedding for compound–protein interaction prediction. bioRxiv, 086033 F Wan, J Zeng Unpublished 濁, 2016 | 19 | 2016 |
| A machine learning-based framework for modeling transcription elongation P Feng, A Xiao, M Fang, F Wan, S Li, P Lang, D Zhao, J Zeng Proceedings of the National Academy of Sciences 118 (6), e2007450118, 2021 | 13 | 2021 |
| Improving molecular property prediction through a task similarity enhanced transfer learning strategy H Li, X Zhao, S Li, F Wan, D Zhao, J Zeng Iscience 25 (10), 2022 | 12 | 2022 |
| Deep learning tools to accelerate antibiotic discovery A Cesaro, M Bagheri, M Torres, F Wan, C de la Fuente-Nunez Expert Opinion on Drug Discovery 18 (11), 1245-1257, 2023 | 9 | 2023 |
| Mining for antimicrobial peptides in sequence space F Wan, C de la Fuente-Nunez Nature Biomedical Engineering 7 (6), 707-708, 2023 | 6 | 2023 |
| MONN: A multi-objective neural network for predicting pairwise non-covalent interactions and binding affinities between compounds and proteins S Li, F Wan, H Shu, T Jiang, D Zhao, J Zeng International Conference on Research in Computational Molecular Biology, 259-260, 2020 | 5 | 2020 |
Tao JiangUC Riverside在 cs.ucr.edu 的电子邮件经过验证
