Cover Image

Multi-level Interaction Modeling for Protein Mutational Effect Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mo, Yuanle, Hong, Xin, Gao, Bowen, Jia, Yinjun, Lan, Yanyan
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Biomolecules
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SIU: A Million-Scale Structural Small Molecule-Protein Interaction Dataset for Unbiased Bioactivity Prediction
by: Huang, Yanwen, et al.
Published: (2024)

PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction
by: Wu, Lirong, et al.
Published: (2024)

AF2-Mutation: Adversarial Sequence Mutations against AlphaFold2 on Protein Tertiary Structure Prediction
by: Yuan, Zhongju, et al.
Published: (2023)

Cross-Chirality Generalization by Axial Vectors for Hetero-Chiral Protein-Peptide Interaction Design
by: Yang, Ziyi, et al.
Published: (2026)

UniGEM: A Unified Approach to Generation and Property Prediction for Molecules
by: Feng, Shikun, et al.
Published: (2024)

Pre-Training Protein Bi-level Representation Through Span Mask Strategy On 3D Protein Chains
by: Zhao, Jiale, et al.
Published: (2024)

On Recovering Higher-order Interactions from Protein Language Models
by: Tsui, Darin, et al.
Published: (2024)

Protein Design with Dynamic Protein Vocabulary
by: Liu, Nuowei, et al.
Published: (2025)

Advanced Deep Learning Methods for Protein Structure Prediction and Design
by: Zhang, Yichao, et al.
Published: (2025)

UniCorn: A Unified Contrastive Learning Approach for Multi-view Molecular Representation Learning
by: Feng, Shikun, et al.
Published: (2024)

AANet: Virtual Screening under Structural Uncertainty via Alignment and Aggregation
by: Zhu, Wenyu, et al.
Published: (2025)

SE(3)-Equivariant Ternary Complex Prediction Towards Target Protein Degradation
by: Xue, Fanglei, et al.
Published: (2025)

PFMBench: Protein Foundation Model Benchmark
by: Gao, Zhangyang, et al.
Published: (2025)

PRING: Rethinking Protein-Protein Interaction Prediction from Pairs to Graphs
by: Zheng, Xinzhe, et al.
Published: (2025)

TourSynbio: A Multi-Modal Large Model and Agent Framework to Bridge Text and Protein Sequences for Protein Engineering
by: Shen, Yiqing, et al.
Published: (2024)

Protein Structure Prediction in the 3D HP Model Using Deep Reinforcement Learning
by: Espitia, Giovanny, et al.
Published: (2024)

One-step Structure Prediction and Screening for Protein-Ligand Complexes using Multi-Task Geometric Deep Learning
by: He, Kelei, et al.
Published: (2024)

Towards Interpretable Protein Structure Prediction with Sparse Autoencoders
by: Parsan, Nithin, et al.
Published: (2025)

UniMAP: Universal SMILES-Graph Representation Learning
by: Feng, Shikun, et al.
Published: (2023)

Reaction Prediction via Interaction Modeling of Symmetric Difference Shingle Sets
by: Shi, Runhan, et al.
Published: (2025)

Addressing Model Overcomplexity in Drug-Drug Interaction Prediction With Molecular Fingerprints
by: Gil-Sorribes, Manel, et al.
Published: (2025)

Graph-level Protein Representation Learning by Structure Knowledge Refinement
by: Wang, Ge, et al.
Published: (2024)

ProtCLIP: Function-Informed Protein Multi-Modal Learning
by: Zhou, Hanjing, et al.
Published: (2024)

Protein as a Second Language for LLMs
by: Chen, Xinhui, et al.
Published: (2025)

Contextual Molecule Representation Learning from Chemical Reaction Knowledge
by: Tang, Han, et al.
Published: (2024)

MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training
by: Chen, Bo, et al.
Published: (2024)

log-RRIM: Yield Prediction via Local-to-global Reaction Representation Learning and Interaction Modeling
by: Hu, Xiao, et al.
Published: (2024)

RosettaSearch: Multi-Objective Inference-Time Search for Protein Sequence Design
by: Kshirsagar, Meghana, et al.
Published: (2026)

ProtFlow: Fast Protein Sequence Design via Flow Matching on Compressed Protein Language Model Embeddings
by: Kong, Zitai, et al.
Published: (2025)

FABind: Fast and Accurate Protein-Ligand Binding
by: Pei, Qizhi, et al.
Published: (2023)

Efficiently Predicting Mutational Effect on Homologous Proteins by Evolution Encoding
by: Zhong, Zhiqiang, et al.
Published: (2024)

Customized Subgraph Selection and Encoding for Drug-drug Interaction Prediction
by: Du, Haotong, et al.
Published: (2024)

FoldToken: Learning Protein Language via Vector Quantization and Beyond
by: Gao, Zhangyang, et al.
Published: (2024)

Coder as Editor: Code-driven Interpretable Molecular Optimization
by: Zhu, Wenyu, et al.
Published: (2025)

Reinforcement Learning for Sequence Design Leveraging Protein Language Models
by: Subramanian, Jithendaraa, et al.
Published: (2024)

Prot2Chat: Protein LLM with Early-Fusion of Text, Sequence and Structure
by: Wang, Zhicong, et al.
Published: (2025)

ProteinEngine: Empower LLM with Domain Knowledge for Protein Engineering
by: Shen, Yiqing, et al.
Published: (2024)

Towards a Better Model with Dual Transformer for Drug Response Prediction
by: Li, Kun, et al.
Published: (2022)

Tensor-DTI: Enhancing Biomolecular Interaction Prediction with Contrastive Embedding Learning
by: Gil-Sorribes, Manel, et al.
Published: (2026)

CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph
by: Lin, Haitao, et al.
Published: (2024)