Yanyi Chu

According to our database, Yanyi Chu authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Author Correction: A 5′ UTR language model for decoding untranslated regions of mRNA and function predictions.

Yanyi Chu, Dan Yu, Yupeng Li, Kaixuan Huang, Yue Shen, Le Cong, Jason Zhang, Mengdi Wang

Nat. Mac. Intell., 2024

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

Yanyi Chu, Dan Yu, Yupeng Li, Kaixuan Huang, Yue Shen, Le Cong, Jason Zhang, Mengdi Wang

Nat. Mac. Intell., 2024

Latent Diffusion Models for Controllable RNA Sequence Generation.

Kaixuan Huang, Yukang Yang, Kaidi Fu, Yanyi Chu, Le Cong, Mengdi Wang

CoRR, 2024

2022

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

Yanyi Chu, Yan Zhang, Qiankun Wang, Lingfeng Zhang, Xuhong Wang, Yanjing Wang, Dennis Russell Salahub, Qin Xu, Jianmin Wang, Xue Jiang, Yi Xiong, Dong-Qing Wei

Nat. Mach. Intell., 2022

<i>De novo</i> molecular design with deep molecular generative models for PPI inhibitors.

Jianmin Wang, Yanyi Chu, Jiashun Mao, Hyeon-Nae Jeon, Haiyan Jin, Amir Zeb, Yuil Jang, Kwang-Hwi Cho, Tao Song, Kyoung Tai No

Briefings Bioinform., 2022

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, Yanyi Chu, Yatong Liu, Yitian Fang, Mingming Jiang, Qiankun Wang, Bowen Zhao, Yi Xiong, Dong-Qing Wei

Briefings Bioinform., 2022

2021

MDA-CF: Predicting MiRNA-Disease associations based on a cascade forest model by fusing multi-source information.

Qiuying Dai, Yanyi Chu, Zhiqi Li, Yusong Zhao, Xueying Mao, Yanjing Wang, Yi Xiong, Dong-Qing Wei

Comput. Biol. Medicine, 2021

NeuroPpred-Fuse: an interpretable stacking model for prediction of neuropeptides by fusing sequence information and feature selection methods.

Mingming Jiang, Bowen Zhao, Shenggan Luo, Qiankun Wang, Yanyi Chu, Tianhang Chen, Xueying Mao, Yatong Liu, Yanjing Wang, Xue Jiang, Dong-Qing Wei, Yi Xiong

Briefings Bioinform., 2021

MDA-GCNFTG: identifying miRNA-disease associations based on graph convolutional networks via graph sampling through the feature and topology graph.

Yanyi Chu, Xuhong Wang, Qiuying Dai, Yanjing Wang, Qiankun Wang, Shaoliang Peng, Xiaoyong Wei, Jingfei Qiu, Dennis Russell Salahub, Yi Xiong, Dong-Qing Wei

Briefings Bioinform., 2021

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

Yanyi Chu, Xiaoqi Shan, Tianhang Chen, Mingming Jiang, Yanjing Wang, Qiankun Wang, Dennis Russell Salahub, Yi Xiong, Dong-Qing Wei

Briefings Bioinform., 2021

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, Wei Wang, Yufang Zhang, Xiaoqi Shan, Dennis Russell Salahub, Yi Xiong, Dong-Qing Wei

Briefings Bioinform., 2021

Prediction of Blood-Brain Barrier Permeability of Compounds by Fusing Resampling Strategies and eXtreme Gradient Boosting.

Zhiwen Shi, Yanyi Chu, Yonghong Zhang, Yanjing Wang, Dong-Qing Wei

IEEE Access, 2021

2019

Prediction of CYP450 Enzyme-Substrate Selectivity Based on the Network-Based Label Space Division Method.

Xiaoqi Shan, Xiangeng Wang, Cheng-Dong Li, Yanyi Chu, Yufang Zhang, Yi Xiong, Dong-Qing Wei

J. Chem. Inf. Model., 2019