Copertina

Learning the Language of Protein Structure

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Gaujac, Benoit, Donà, Jérémie, Copoiu, Liviu, Atkinson, Timothy, Pierrot, Thomas, Barrett, Thomas D.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Quantitative Methods Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Endowing Protein Language Models with Structural Knowledge
di: Chen, Dexiong, et al.
Pubblicazione: (2024)

ProteinZero: Self-Improving Protein Generation via Online Reinforcement Learning
di: Wang, Ziwen, et al.
Pubblicazione: (2025)

Low-N Protein Activity Optimization with FolDE
di: Roberts, Jacob B., et al.
Pubblicazione: (2025)

DPLM-2: A Multimodal Diffusion Protein Language Model
di: Wang, Xinyou, et al.
Pubblicazione: (2024)

Repurposing Protein Language Models for Latent Flow-Based Fitness Optimization
di: Arroyo, Amaru Caceres, et al.
Pubblicazione: (2026)

Beyond Current Boundaries: Integrating Deep Learning and AlphaFold for Enhanced Protein Structure Prediction from Low-Resolution Cryo-EM Maps
di: Xin, et al.
Pubblicazione: (2024)

Hierarchical Contrastive Learning for Multi-Domain Protein-Ligand Binding
di: Zhang, Shuo, et al.
Pubblicazione: (2026)

Driving Accurate Allergen Prediction with Protein Language Models and Generalization-Focused Evaluation
di: Wong, Brian Shing-Hei, et al.
Pubblicazione: (2025)

Zero-Shot Learning with Subsequence Reordering Pretraining for Compound-Protein Interaction
di: Zhang, Hongzhi, et al.
Pubblicazione: (2025)

PRISM: Enhancing Protein Inverse Folding through Fine-Grained Retrieval on Structure-Sequence Multimodal Representations
di: Mahbub, Sazan, et al.
Pubblicazione: (2025)

PGraphDTA: Improving Drug Target Interaction Prediction using Protein Language Models and Contact Maps
di: Bal, Rakesh, et al.
Pubblicazione: (2023)

No Generation without Representation: Efficient Causal Protein Language Models Enable Zero-Shot Fitness Estimation
di: Eris, Furkan
Pubblicazione: (2026)

ProteinRPN: Towards Accurate Protein Function Prediction with Graph-Based Region Proposals
di: Mitra, Shania, et al.
Pubblicazione: (2024)

Extracting Inter-Protein Interactions Via Multitasking Graph Structure Learning
di: Li, Jiang, et al.
Pubblicazione: (2025)

DANCE: Deep Learning-Assisted Analysis of Protein Sequences Using Chaos Enhanced Kaleidoscopic Images
di: Murad, Taslim, et al.
Pubblicazione: (2024)

Identification of Capture Phases in Nanopore Protein Sequencing Data Using a Deep Learning Model
di: Martin, Annabelle, et al.
Pubblicazione: (2025)

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

Geometric Self-Supervised Pretraining on 3D Protein Structures using Subgraphs
di: Chatzianastasis, Michail, et al.
Pubblicazione: (2024)

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

Conditioning Protein Generation via Hopfield Pattern Multiplicity
di: Varner, Jeffrey D.
Pubblicazione: (2026)

Learning to Extend Molecular Scaffolds with Structural Motifs
di: Maziarz, Krzysztof, et al.
Pubblicazione: (2021)

Simulation-free Structure Learning for Stochastic Dynamics
di: Rimawi-Fine, Noah El, et al.
Pubblicazione: (2025)

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

SBSM-Pro: Support Bio-sequence Machine for Proteins
di: Wang, Yizheng, et al.
Pubblicazione: (2023)

Protein Circuit Tracing via Cross-layer Transcoders
di: Tsui, Darin, et al.
Pubblicazione: (2026)

Better Protein Function Prediction by Modeling Survivorship Bias
di: Chao, Zhongmou, et al.
Pubblicazione: (2026)

Protein sequence classification using natural language processing techniques
di: Perveen, Huma, et al.
Pubblicazione: (2024)

Sparse Autoencoders for Low-$N$ Protein Function Prediction and Design
di: Tsui, Darin, et al.
Pubblicazione: (2025)

Molecular Embedding-Based Algorithm Selection in Protein-Ligand Docking
di: Wang, Jiabao Brad, et al.
Pubblicazione: (2025)

A Diffusion Model to Shrink Proteins While Maintaining Their Function
di: Baron, Ethan, et al.
Pubblicazione: (2025)

Data-Dependent Smoothing for Protein Discovery with Walk-Jump Sampling
di: Anumasa, Srinivas, et al.
Pubblicazione: (2025)

SimpleFold: Folding Proteins is Simpler than You Think
di: Wang, Yuyang, et al.
Pubblicazione: (2025)

Binary Latent Protein Fitness Landscapes for Quantum Annealing Optimization
di: Hy, Truong-Son
Pubblicazione: (2026)

FlowCyt: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry Benchmarking
di: Bini, Lorenzo, et al.
Pubblicazione: (2024)

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

Protein-Mamba: Biological Mamba Models for Protein Function Prediction
di: Xu, Bohao, et al.
Pubblicazione: (2024)

GastroDL-Fusion: A Dual-Modal Deep Learning Framework Integrating Protein-Ligand Complexes and Gene Sequences for Gastrointestinal Disease Drug Discovery
di: Gao, Ziyang, 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)

Deep Learning Framework for RNA Inverse Folding with Geometric Structure Potentials
di: Yao, Annabelle
Pubblicazione: (2025)