Image de couverture de livre

Adaptive Protein Tokenization

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Dilip, Rohit, Varshney, Ayush, Van Valen, David
Format:	Preprint
Publié:	2026
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

Flow Autoencoders are Effective Protein Tokenizers
par: Dilip, Rohit, et autres
Publié: (2025)

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

Mechanisms of AI Protein Folding in ESMFold
par: Lu, Kevin, et autres
Publié: (2026)

Tokenizing Loops of Antibodies
par: Fang, Ada, et autres
Publié: (2025)

Token-Mol 1.0: Tokenized drug design with large language model
par: Wang, Jike, et autres
Publié: (2024)

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

FoldToken: Learning Protein Language via Vector Quantization and Beyond
par: Gao, Zhangyang, et autres
Publié: (2024)

MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction
par: Tan, Cheng, 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)

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

Automated Neuron Labelling Enables Generative Steering and Interpretability in Protein Language Models
par: Banerjee, Arjun, et autres
Publié: (2025)

Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction
par: Yu, Ziyang, et autres
Publié: (2024)

Hierarchical Multi-Label Contrastive Learning for Protein-Protein Interaction Prediction Across Organisms
par: Liu, Shiyi, et autres
Publié: (2025)

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

ProteinGuide: On-the-fly property guidance for protein sequence generative models
par: Xiong, Junhao, et autres
Publié: (2025)

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

Beyond Simple Concatenation: Fairly Assessing PLM Architectures for Multi-Chain Protein-Protein Interactions Prediction
par: Alsamkary, Hazem, et autres
Publié: (2025)

Structure-Informed Protein Language Model
par: Zhang, Zuobai, 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)

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

PUFFIN: Protein Unit Discovery with Functional Supervision
par: Uludoğan, Gökçe, et autres
Publié: (2026)

Deep Learning for Protein Complex Prediction and Design
par: Xie, Ziwei
Publié: (2026)

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

Exploiting Hierarchical Interactions for Protein Surface Learning
par: Lin, Yiqun, et autres
Publié: (2024)

Protein Discovery with Discrete Walk-Jump Sampling
par: Frey, Nathan C., et autres
Publié: (2023)

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

Deep Manifold Transformation for Protein Representation Learning
par: Hu, Bozhen, et autres
Publié: (2024)

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

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

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

Accelerating Protein Molecular Dynamics Simulation with DeepJump
par: Costa, Allan dos Santos, et autres
Publié: (2025)

Machine Learning Coarse-Grained Potentials of Protein Thermodynamics
par: Majewski, Maciej, et autres
Publié: (2022)

Multi-Scale Representation Learning for Protein Fitness Prediction
par: Zhang, Zuobai, et autres
Publié: (2024)

Aligning Protein Conformation Ensemble Generation with Physical Feedback
par: Lu, Jiarui, et autres
Publié: (2025)

Importance Weighted Expectation-Maximization for Protein Sequence Design
par: Song, Zhenqiao, et autres
Publié: (2023)

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

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

ETDock: A Novel Equivariant Transformer for Protein-Ligand Docking
par: Yi, Yiqiang, et autres
Publié: (2023)

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