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Yi Xiong

Has grant

Professor

Shanghai Jiao Tong University

China

Research Interests

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Professors in Biochemistry

Recent Grants

Grant: Close

Study on Artificial Intelligence-driven Approaches to Predict Drug-drug Interactions and Their Mechanism of Occurrence

Open Date: 2022-01-01

Close Date: 2025-12-01

Grant: Close

Analysis and Prediction of Nucleic Acid-Binding Interfaces Based on Molecular Surface Information of Proteins

Open Date: 2017-01-01

Close Date: 2019-12-01

Articles (17)

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2026

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2023

Collaborators (2)

Daisuke Kihara

Professor

Purdue University

UNITED STATES

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Dongqing Wei

Professor

Shanghai Jiao Tong University

CHINA

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Yi Xiong

Research Interests

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Recent Grants

Articles (17)

Prediction of Drug-Target Interactions Based on Hypergraph Neural Networks With Multimodal Feature Fusion

Leveraging deep transfer learning for identification of essential human miRNAs

A unified predictor of protein stability changes across all mutation types via implicit structure learning

GRATCR: Epitope-Specific T Cell Receptor Sequence Generation With Data-Efficient Pre-Trained Models

Distance-AF improves predicted protein structure models by AlphaFold2 with user-specified distance constraints

Navigating the Causal Landscape of Psychiatric Disorders With PsyRiskMR

scCobra allows contrastive cell embedding learning with domain adaptation for single cell data integration and harmonization

A general Temperature-Guided Language model to design proteins of enhanced Stability and Activity

Author Correction: PLMSearch: Protein language model powers accurate and fast sequence search for remote homology

Deep learning facilitates efficient optimization of antisense oligonucleotide drugs

PLMSearch: Protein language model powers accurate and fast sequence search for remote homology

ReHoGCNES-MDA: prediction of miRNA-disease associations using homogenous graph convolutional networks based on regular graph with random edge sampler

A Multimodal Deep Learning Framework for Predicting PPI-Modulator Interactions

MATT-DDI: Predicting multi-type drug-drug interactions via heterogeneous attention mechanisms

LS-MolGen: Ligand-and-Structure Dual-Driven Deep Reinforcement Learning for Target-Specific Molecular Generation Improves Binding Affinity and Novelty

NetGO 3.0: Protein Language Model Improves Large-Scale Functional Annotations

Subtype-DCC: decoupled contrastive clustering method for cancer subtype identification based on multi-omics data

Collaborators (2)

Daisuke Kihara

Dongqing Wei

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