Copertina

Dynamics-inspired Structure Hallucination for Protein-protein Interaction Modeling

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wu, Fang, Li, Stan Z.
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning Artificial Intelligence Quantitative Methods
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Learning to Predict Mutation Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning
di: Wu, Lirong, et al.
Pubblicazione: (2024)

Enhancing Protein Predictive Models via Proteins Data Augmentation: A Benchmark and New Directions
di: Sun, Rui, et al.
Pubblicazione: (2024)

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design
di: Zheng, Jiangbin, et al.
Pubblicazione: (2024)

Hashing for Protein Structure Similarity Search
di: Han, Jin, et al.
Pubblicazione: (2024)

GraPPI: A Retrieve-Divide-Solve GraphRAG Framework for Large-scale Protein-protein Interaction Exploration
di: Li, Ziwen, et al.
Pubblicazione: (2025)

DapPep: Domain Adaptive Peptide-agnostic Learning for Universal T-cell Receptor-antigen Binding Affinity Prediction
di: Zheng, Jiangbin, et al.
Pubblicazione: (2024)

A Simple yet Effective DDG Predictor is An Unsupervised Antibody Optimizer and Explainer
di: Wu, Lirong, et al.
Pubblicazione: (2025)

Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization
di: Wu, Lirong, et al.
Pubblicazione: (2024)

UniIF: Unified Molecule Inverse Folding
di: Gao, Zhangyang, et al.
Pubblicazione: (2024)

EquiCPI: SE(3)-Equivariant Geometric Deep Learning for Structure-Aware Prediction of Compound-Protein Interactions
di: Nguyen, Ngoc-Quang
Pubblicazione: (2025)

Benchmark on Drug Target Interaction Modeling from a Drug Structure Perspective
di: Zhang, Xinnan, et al.
Pubblicazione: (2024)

Protein Structure Tokenization: Benchmarking and New Recipe
di: Yuan, Xinyu, et al.
Pubblicazione: (2025)

HyboWaveNet: Hyperbolic Graph Neural Networks with Multi-Scale Wavelet Transform for Protein-Protein Interaction Prediction
di: Yu, Qingzhi, et al.
Pubblicazione: (2025)

Spectral Coherence Index: A Model-Free Metric for Protein Structural Ensemble Quality Assessment
di: Bi, Yuda, et al.
Pubblicazione: (2026)

Training Compute-Optimal Protein Language Models
di: Cheng, Xingyi, et al.
Pubblicazione: (2024)

Protein Autoregressive Modeling via Multiscale Structure Generation
di: Qu, Yanru, et al.
Pubblicazione: (2026)

DCFold: Efficient Protein Structure Generation with Single Forward Pass
di: Zhang, Zhe, et al.
Pubblicazione: (2026)

Large Language Model is Secretly a Protein Sequence Optimizer
di: Wang, Yinkai, et al.
Pubblicazione: (2025)

GAN-TAT: A Novel Framework Using Protein Interaction Networks in Druggable Gene Identification
di: Wang, George Yuanji, et al.
Pubblicazione: (2024)

GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype
di: Chi, Changxi, et al.
Pubblicazione: (2025)

From thermodynamics to protein design: Diffusion models for biomolecule generation towards autonomous protein engineering
di: Li, Wen-ran, et al.
Pubblicazione: (2025)

A Multi-Grained Symmetric Differential Equation Model for Learning Protein-Ligand Binding Dynamics
di: Liu, Shengchao, et al.
Pubblicazione: (2024)

Elucidating the Design Space of Multimodal Protein Language Models
di: Hsieh, Cheng-Yen, et al.
Pubblicazione: (2025)

LAMP-PRo: Label-aware Attention for Multi-label Prediction of DNA- and RNA-binding Proteins using Protein Language Models
di: Ghosh, Nimisha, et al.
Pubblicazione: (2025)

Improving AlphaFlow for Efficient Protein Ensembles Generation
di: Li, Shaoning, et al.
Pubblicazione: (2024)

DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning
di: Xie, Jiaqing, et al.
Pubblicazione: (2024)

Design Proteins Using Large Language Models: Enhancements and Comparative Analyses
di: Zeinalipour, Kamyar, et al.
Pubblicazione: (2024)

A Text-guided Protein Design Framework
di: Liu, Shengchao, et al.
Pubblicazione: (2023)

General Protein Pretraining or Domain-Specific Designs? Benchmarking Protein Modeling on Realistic Applications
di: Yan, Shuo, et al.
Pubblicazione: (2025)

ProteinBench: A Holistic Evaluation of Protein Foundation Models
di: Ye, Fei, et al.
Pubblicazione: (2024)

Exploring Latent Space for Generating Peptide Analogs Using Protein Language Models
di: Liang, Po-Yu, et al.
Pubblicazione: (2024)

MolTC: Towards Molecular Relational Modeling In Language Models
di: Fang, Junfeng, et al.
Pubblicazione: (2024)

Deep Learning Model for Amyloidogenicity Prediction using a Pre-trained Protein LLM
di: Yagoub, Zohra, et al.
Pubblicazione: (2025)

Annotation-guided Protein Design with Multi-Level Domain Alignment
di: Yuan, Chaohao, et al.
Pubblicazione: (2024)

Generative modeling of protein ensembles guided by crystallographic electron densities
di: Maddipatla, Sai Advaith, et al.
Pubblicazione: (2024)

HSA-Net: Hierarchical and Structure-Aware Framework for Efficient and Scalable Molecular Language Modeling
di: Shao, Zihang, et al.
Pubblicazione: (2025)

PPI-Net connects molecular protein interactions to functional processes in disease
di: Higgins, Kyle, et al.
Pubblicazione: (2026)

Fast and Interpretable Protein Substructure Alignment via Optimal Transport
di: Wang, Zhiyu, et al.
Pubblicazione: (2025)

Adaptive Multimodal Protein Plug-and-Play with Diffusion-Based Priors
di: Banerjee, Amartya, et al.
Pubblicazione: (2025)

A Novel Framework for Multi-Modal Protein Representation Learning
di: Zheng, Runjie, et al.
Pubblicazione: (2025)