Yanyi Chu

DTI-CDF: a cascade deep forest model towards the prediction of drug-target interactions based on hybrid features

Yanyi Chu, Aman Chandra Kaushik, Xiangeng Wang et al. · Briefings in Bioinformatics · 2019 · 208 citations

Drug Target, Engineering, Machine Learning +21

A transformer-based model to predict peptide–HLA class I binding and optimize mutated peptides for vaccine design

Yanyi Chu, Yan Zhang, Qiankun Wang et al. · Nature Machine Intelligence · 2022 · 175 citations · Full text

Vaccination, Cross-protection, Peptide Library +9

MDF-SA-DDI: predicting drug–drug interaction events based on multi-source drug fusion, multi-source feature fusion and transformer self-attention mechanism

Shenggeng Lin, Yanjing Wang, Lingfeng Zhang et al. · Briefings in Bioinformatics · 2021 · 167 citations

A 5′ UTR language model for decoding untranslated regions of mRNA and function predictions

Yanyi Chu, Dan Yu, Yupeng Li et al. · Nature Machine Intelligence · 2024 · 93 citations · Full text

Rna Processing, Functional Genomics, Function Predictions +10

DTI-MLCD: predicting drug-target interactions using multi-label learning with community detection method

Yanyi Chu, Xiaoqi Shan, Tianhang Chen et al. · Briefings in Bioinformatics · 2020 · 81 citations