An Energy-Adaptive Elastic Equivariant Transformer Framework for Protein Structure Representation
Fuente:
arXiv
Guardado en:
| Autores principales: | Zhang, Zhongyue, Ma, Runze, Huang, Yanjie, Zheng, Shuangjia |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
RiboFlow: Conditional De Novo RNA Co-Design via Synergistic Flow Matching
por: Ma, Runze, et al.
Publicado: (2025)
por: Ma, Runze, et al.
Publicado: (2025)
SCOP: A Sequence-Structure Contrast-Aware Framework for Protein Function Prediction
por: Ma, Runze, et al.
Publicado: (2024)
por: Ma, Runze, et al.
Publicado: (2024)
ETDock: A Novel Equivariant Transformer for Protein-Ligand Docking
por: Yi, Yiqiang, et al.
Publicado: (2023)
por: Yi, Yiqiang, et al.
Publicado: (2023)
Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction
por: Yu, Ziyang, et al.
Publicado: (2024)
por: Yu, Ziyang, et al.
Publicado: (2024)
Effective Protein-Protein Interaction Exploration with PPIretrieval
por: Hua, Chenqing, et al.
Publicado: (2024)
por: Hua, Chenqing, et al.
Publicado: (2024)
A Protein Structure Prediction Approach Leveraging Transformer and CNN Integration
por: Zhou, Yanlin, et al.
Publicado: (2024)
por: Zhou, Yanlin, et al.
Publicado: (2024)
Deep Manifold Transformation for Protein Representation Learning
por: Hu, Bozhen, et al.
Publicado: (2024)
por: Hu, Bozhen, et al.
Publicado: (2024)
Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer
por: Huang, Tinglin, et al.
Publicado: (2024)
por: Huang, Tinglin, et al.
Publicado: (2024)
Atom-level Protein Representation Learning Improves Protein Structure Prediction
por: Kim, Taewon, et al.
Publicado: (2026)
por: Kim, Taewon, et al.
Publicado: (2026)
Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning
por: Kong, Xiangzhe, et al.
Publicado: (2023)
por: Kong, Xiangzhe, et al.
Publicado: (2023)
AtomSurf : Surface Representation for Learning on Protein Structures
por: Mallet, Vincent, et al.
Publicado: (2023)
por: Mallet, Vincent, et al.
Publicado: (2023)
Protein FID: Improved Evaluation of Protein Structure Generative Models
por: Faltings, Felix, et al.
Publicado: (2025)
por: Faltings, Felix, et al.
Publicado: (2025)
Diffusion Sequence Models for Enhanced Protein Representation and Generation
por: Hallee, Logan, et al.
Publicado: (2025)
por: Hallee, Logan, et al.
Publicado: (2025)
Probing the Dark Energy in the Functional Protein Universe
por: Galpern, Ezequiel A., et al.
Publicado: (2025)
por: Galpern, Ezequiel A., et al.
Publicado: (2025)
PLD-Tree: Persistent Laplacian Decision Tree for Protein-Protein Binding Free Energy Prediction
por: Xu, Xingjian, et al.
Publicado: (2024)
por: Xu, Xingjian, et al.
Publicado: (2024)
FlexSBDD: Structure-Based Drug Design with Flexible Protein Modeling
por: Zhang, Zaixi, et al.
Publicado: (2024)
por: Zhang, Zaixi, et al.
Publicado: (2024)
Graph-level Protein Representation Learning by Structure Knowledge Refinement
por: Wang, Ge, et al.
Publicado: (2024)
por: Wang, Ge, et al.
Publicado: (2024)
Learning Structure, Energy, and Dynamics: A Survey of Artificial Intelligence for Protein Dynamics
por: Tang, Haocheng, et al.
Publicado: (2026)
por: Tang, Haocheng, et al.
Publicado: (2026)
Multi-Scale Representation Learning for Protein Fitness Prediction
por: Zhang, Zuobai, et al.
Publicado: (2024)
por: Zhang, Zuobai, et al.
Publicado: (2024)
Accelerating Inference in Molecular Diffusion Models with Latent Representations of Protein Structure
por: Dunn, Ian, et al.
Publicado: (2023)
por: Dunn, Ian, et al.
Publicado: (2023)
Steering Protein Family Design through Profile Bayesian Flow
por: Gong, Jingjing, et al.
Publicado: (2025)
por: Gong, Jingjing, et al.
Publicado: (2025)
PETIMOT: A Novel Framework for Inferring Protein Motions from Sparse Data Using SE(3)-Equivariant Graph Neural Networks
por: Lombard, Valentin, et al.
Publicado: (2025)
por: Lombard, Valentin, et al.
Publicado: (2025)
SIU: A Million-Scale Structural Small Molecule-Protein Interaction Dataset for Unbiased Bioactivity Prediction
por: Huang, Yanwen, et al.
Publicado: (2024)
por: Huang, Yanwen, et al.
Publicado: (2024)
SE(3)-Equivariant Ternary Complex Prediction Towards Target Protein Degradation
por: Xue, Fanglei, et al.
Publicado: (2025)
por: Xue, Fanglei, et al.
Publicado: (2025)
Into the Unknown: From Structure to Disorder in Protein Function Prediction
por: Kolarić, Đesika, et al.
Publicado: (2025)
por: Kolarić, Đesika, et al.
Publicado: (2025)
Atomic Density Distributions in Proteins: Structural and Functional Implications
por: Touliopoulos, Sotirios, et al.
Publicado: (2025)
por: Touliopoulos, Sotirios, et al.
Publicado: (2025)
A New Route for the Determination of Protein Structure and Function
por: Mejias, S. H., et al.
Publicado: (2024)
por: Mejias, S. H., et al.
Publicado: (2024)
Learning Protein Structure-Function Relationships through Knowledge-guided Representation Decomposition
por: Wang, Mingqing, et al.
Publicado: (2026)
por: Wang, Mingqing, et al.
Publicado: (2026)
Adaptive Protein Tokenization
por: Dilip, Rohit, et al.
Publicado: (2026)
por: Dilip, Rohit, et al.
Publicado: (2026)
Equivariant Scalar Fields for Molecular Docking with Fast Fourier Transforms
por: Jing, Bowen, et al.
Publicado: (2023)
por: Jing, Bowen, et al.
Publicado: (2023)
A Comprehensive System for Secondary Structure Analysis of Protein Models
por: Kannan, Vedh
Publicado: (2024)
por: Kannan, Vedh
Publicado: (2024)
Protein Representation Learning by Capturing Protein Sequence-Structure-Function Relationship
por: Ko, Eunji, et al.
Publicado: (2024)
por: Ko, Eunji, et al.
Publicado: (2024)
Structure-based Drug Design with Equivariant Diffusion Models
por: Schneuing, Arne, et al.
Publicado: (2022)
por: Schneuing, Arne, et al.
Publicado: (2022)
Orientation-Aware Graph Neural Networks for Protein Structure Representation Learning
por: Li, Jiahan, et al.
Publicado: (2022)
por: Li, Jiahan, et al.
Publicado: (2022)
PyMOLfold: Interactive Protein and Ligand Structure Prediction in PyMOL
por: Ford, Colby T., et al.
Publicado: (2025)
por: Ford, Colby T., et al.
Publicado: (2025)
ProtComposer: Compositional Protein Structure Generation with 3D Ellipsoids
por: Stark, Hannes, et al.
Publicado: (2025)
por: Stark, Hannes, et al.
Publicado: (2025)
SwitchCraft: A Programmatic Framework for Designing State-Switching Proteins
por: Jing, Bowen, et al.
Publicado: (2026)
por: Jing, Bowen, et al.
Publicado: (2026)
Consistent Synthetic Sequences Unlock Structural Diversity in Fully Atomistic De Novo Protein Design
por: Reidenbach, Danny, et al.
Publicado: (2025)
por: Reidenbach, Danny, et al.
Publicado: (2025)
Structure-Enhanced Protein Instruction Tuning: Towards General-Purpose Protein Understanding with LLMs
por: Wu, Wei, et al.
Publicado: (2024)
por: Wu, Wei, et al.
Publicado: (2024)
Binding-Adaptive Diffusion Models for Structure-Based Drug Design
por: Huang, Zhilin, et al.
Publicado: (2024)
por: Huang, Zhilin, et al.
Publicado: (2024)
Ejemplares similares
-
RiboFlow: Conditional De Novo RNA Co-Design via Synergistic Flow Matching
por: Ma, Runze, et al.
Publicado: (2025) -
SCOP: A Sequence-Structure Contrast-Aware Framework for Protein Function Prediction
por: Ma, Runze, et al.
Publicado: (2024) -
ETDock: A Novel Equivariant Transformer for Protein-Ligand Docking
por: Yi, Yiqiang, et al.
Publicado: (2023) -
Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction
por: Yu, Ziyang, et al.
Publicado: (2024) -
Effective Protein-Protein Interaction Exploration with PPIretrieval
por: Hua, Chenqing, et al.
Publicado: (2024)