Jiaxin Jiang

Prediction of Potential Commercially Available Inhibitors against SARS-CoV-2 by Multi-Task Deep Learning Model

F. Hu, Jiaxin Jiang, P. Yin, 2020, Biomolecules.

Prediction of potential commercially inhibitors against SARS-CoV-2 by multi-task deep model

F. Hu, Jiaxin Jiang, P. Yin, 2020, 2003.00728.

Development and validation of a prognostic model and gene co-expression networks for breast carcinoma based on scRNA-seq and bulk-seq data

Jiaxin Jiang, R. Peng, Qi Quan, 2022, Annals of translational medicine.

Pan-cancer analysis identifies DDX56 as a prognostic biomarker associated with immune infiltration and drug sensitivity

Jiaxin Jiang, R. Peng, Qi Quan, 2022, Frontiers in Genetics.

Graph neural network approaches for drug-target interactions.

Hualiang Jiang, Xutong Li, Feisheng Zhong, 2022, Current opinion in structural biology.

Generative Models for De Novo Drug Design.

Hualiang Jiang, Xutong Li, Zhaoping Xiong, 2021, Journal of medicinal chemistry.

Generating Novel Compounds Targeting SARS-CoV-2 Main Protease Based on Imbalanced Dataset

Fan Hu, Dongqi Wang, Yishen Hu, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Integrating genome-wide association and transcriptome predicted model identify novel target genes with osteoporosis

F. Hu, Jiaxin Jiang, P. Yin, 2019, bioRxiv.

Multi-PLI: interpretable multi‐task deep learning model for unifying protein–ligand interaction datasets

F. Hu, Jiaxin Jiang, P. Yin, 2021, Journal of Cheminformatics.

A Multi-Task Deep Model for Protein-Ligand Interaction Prediction

Fan Hu, Jiaxin Jiang, Peng Yin, 2019, 2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS).

EquiScore: A generic protein-ligand interaction scoring method integrating physical prior knowledge with data augmentation modeling

Xutong Li, Feisheng Zhong, Jiaxin Jiang, 2023, bioRxiv.