Image de couverture de livre

Internal-Coordinate Density Modelling of Protein Structure: Covariance Matters

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Arts, Marloes, Frellsen, Jes, Boomsma, Wouter
Format:	Preprint
Publié:	2023
Sujets:	Machine Learning Biomolecules
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Zero-shot protein stability prediction by inverse folding models: a free energy interpretation
par: Frellsen, Jes, et autres
Publié: (2025)

Kermut: Composite kernel regression for protein variant effects
par: Groth, Peter Mørch, et autres
Publié: (2024)

Accurate and Efficient Structural Ensemble Generation of Macrocyclic Peptides using Internal Coordinate Diffusion
par: Grambow, Colin A., et autres
Publié: (2023)

UNAAGI: Atom-Level Diffusion for Generating Non-Canonical Amino Acid Substitutions
par: Tang, Han, et autres
Publié: (2025)

Structure-Informed Protein Language Model
par: Zhang, Zuobai, et autres
Publié: (2024)

Structure Language Models for Protein Conformation Generation
par: Lu, Jiarui, et autres
Publié: (2024)

ProxelGen: Generating Proteins as 3D Densities
par: Faltings, Felix, et autres
Publié: (2025)

Accelerating Inference in Molecular Diffusion Models with Latent Representations of Protein Structure
par: Dunn, Ian, et autres
Publié: (2023)

Protein Inverse Folding From Structure Feedback
par: Xu, Junde, et autres
Publié: (2025)

DISPROTBENCH: Uncovering the Functional Limits of Protein Structure Prediction Models in Intrinsically Disordered Regions
par: Zeng, Xinyue, et autres
Publié: (2025)

AtomSurf : Surface Representation for Learning on Protein Structures
par: Mallet, Vincent, et autres
Publié: (2023)

Tokenizing 3D Molecule Structure with Quantized Spherical Coordinates
par: Gao, Kaiyuan, et autres
Publié: (2024)

Open-Source Protein Language Models for Function Prediction and Protein Design
par: Pandi, Shivasankaran Vanaja, et autres
Publié: (2024)

Steering Protein Language Models
par: Huang, Long-Kai, et autres
Publié: (2025)

Conformation-Aware Structure Prediction of Antigen-Recognizing Immune Proteins
par: Dreyer, Frédéric A., et autres
Publié: (2025)

A Protein Structure Prediction Approach Leveraging Transformer and CNN Integration
par: Zhou, Yanlin, et autres
Publié: (2024)

ContactNet: Geometric-Based Deep Learning Model for Predicting Protein-Protein Interactions
par: Halfon, Matan, et autres
Publié: (2024)

Energy Efficient Protein Language Models: Leveraging Small Language Models with LoRA for Controllable Protein Generation
par: Shah, Aayush, et autres
Publié: (2024)

CoPRA: Bridging Cross-domain Pretrained Sequence Models with Complex Structures for Protein-RNA Binding Affinity Prediction
par: Han, Rong, et autres
Publié: (2024)

Learning Protein Structure-Function Relationships through Knowledge-guided Representation Decomposition
par: Wang, Mingqing, et autres
Publié: (2026)

Learning Structure, Energy, and Dynamics: A Survey of Artificial Intelligence for Protein Dynamics
par: Tang, Haocheng, et autres
Publié: (2026)

Peptide Sequencing Via Protein Language Models
par: Pham, Thuong Le Hoai, et autres
Publié: (2024)

Diffusion Language Models Are Versatile Protein Learners
par: Wang, Xinyou, et autres
Publié: (2024)

Integrating Secondary Structures Information into Triangular Spatial Relationships (TSR) for Advanced Protein Classification
par: Khajouie, Poorya, et autres
Publié: (2024)

ZeroFold: Protein-RNA Binding Affinity Predictions from Pre-Structural Embeddings
par: Hanke, Josef, et autres
Publié: (2026)

Out of Many, One: Designing and Scaffolding Proteins at the Scale of the Structural Universe with Genie 2
par: Lin, Yeqing, et autres
Publié: (2024)

Endowing Protein Language Models with Structural Knowledge
par: Chen, Dexiong, et autres
Publié: (2024)

Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows
par: Zhou, Xiangxin, et autres
Publié: (2025)

Insights Into the Inner Workings of Transformer Models for Protein Function Prediction
par: Wenzel, Markus, et autres
Publié: (2023)

Interpreting and Steering Protein Language Models through Sparse Autoencoders
par: Garcia, Edith Natalia Villegas, et autres
Publié: (2025)

Steering Generative Models with Experimental Data for Protein Fitness Optimization
par: Yang, Jason, et autres
Publié: (2025)

OneProt: Towards Multi-Modal Protein Foundation Models
par: Flöge, Klemens, et autres
Publié: (2024)

Reverse Distillation: Consistently Scaling Protein Language Model Representations
par: Catrina, Darius, et autres
Publié: (2026)

A Model-Centric Review of Deep Learning for Protein Design
par: Kyro, Gregory W., et autres
Publié: (2025)

SIU: A Million-Scale Structural Small Molecule-Protein Interaction Dataset for Unbiased Bioactivity Prediction
par: Huang, Yanwen, et autres
Publié: (2024)

MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding
par: Wu, Lirong, et autres
Publié: (2024)

ProteinWeaver: A Divide-and-Assembly Approach for Protein Backbone Design
par: Ma, Yiming, et autres
Publié: (2024)

Function-Guided Conditional Generation Using Protein Language Models with Adapters
par: Yang, Jason, et autres
Publié: (2024)

Induction Meets Biology: Mechanisms of Repeat Detection in Protein Language Models
par: Pomerants, Gal, et autres
Publié: (2026)

Adaptive Protein Tokenization
par: Dilip, Rohit, et autres
Publié: (2026)