Reinforcement Learning for Sequence Design Leveraging Protein Language Models
Fuente:
arXiv
Guardado en:
| Autores principales: | Subramanian, Jithendaraa, Sujit, Shivakanth, Irtisam, Niloy, Sain, Umong, Islam, Riashat, Nowrouzezahrai, Derek, Kahou, Samira Ebrahimi |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Ligand-Conditioned Discrete Diffusion for Protein Sequence-Structure Co-Design
por: Wei, Chen, et al.
Publicado: (2026)
por: Wei, Chen, et al.
Publicado: (2026)
ProtFlow: Fast Protein Sequence Design via Flow Matching on Compressed Protein Language Model Embeddings
por: Kong, Zitai, et al.
Publicado: (2025)
por: Kong, Zitai, et al.
Publicado: (2025)
Improving Protein Sequence Design through Designability Preference Optimization
por: Xue, Fanglei, et al.
Publicado: (2025)
por: Xue, Fanglei, et al.
Publicado: (2025)
A Survey of Deep Learning Methods in Protein Bioinformatics and its Impact on Protein Design
por: Dai, Weihang
Publicado: (2025)
por: Dai, Weihang
Publicado: (2025)
From Supervision to Exploration: What Does Protein Language Model Learn During Reinforcement Learning?
por: Cao, Hanqun, et al.
Publicado: (2025)
por: Cao, Hanqun, et al.
Publicado: (2025)
Guiding Generative Protein Language Models with Reinforcement Learning
por: Stocco, Filippo, et al.
Publicado: (2024)
por: Stocco, Filippo, et al.
Publicado: (2024)
Controlling Repetition in Protein Language Models
por: Zhang, Jiahao, et al.
Publicado: (2026)
por: Zhang, Jiahao, et al.
Publicado: (2026)
Are Protein Language Models Compute Optimal?
por: Serrano, Yaiza, et al.
Publicado: (2024)
por: Serrano, Yaiza, et al.
Publicado: (2024)
Generative AI for Controllable Protein Sequence Design: A Survey
por: Zhu, Yiheng, et al.
Publicado: (2024)
por: Zhu, Yiheng, et al.
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)
Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation
por: Huguet, Guillaume, et al.
Publicado: (2024)
por: Huguet, Guillaume, et al.
Publicado: (2024)
Leveraging Deep Generative Model For Computational Protein Design And Optimization
por: Lai, Boqiao
Publicado: (2024)
por: Lai, Boqiao
Publicado: (2024)
The Dance of Atoms-De Novo Protein Design with Diffusion Model
por: Qin, Yujie, et al.
Publicado: (2025)
por: Qin, Yujie, et al.
Publicado: (2025)
RosettaSearch: Multi-Objective Inference-Time Search for Protein Sequence Design
por: Kshirsagar, Meghana, et al.
Publicado: (2026)
por: Kshirsagar, Meghana, et al.
Publicado: (2026)
AMix-2: Establishing Protein as a Native Modality in Large Language Models
por: Qiu, Keyue, et al.
Publicado: (2026)
por: Qiu, Keyue, et al.
Publicado: (2026)
TaxDiff: Taxonomic-Guided Diffusion Model for Protein Sequence Generation
por: Zongying, Lin, et al.
Publicado: (2024)
por: Zongying, Lin, 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)
ProtTeX: Structure-In-Context Reasoning and Editing of Proteins with Large Language Models
por: Ma, Zicheng, et al.
Publicado: (2025)
por: Ma, Zicheng, et al.
Publicado: (2025)
Protein Structure Prediction in the 3D HP Model Using Deep Reinforcement Learning
por: Espitia, Giovanny, et al.
Publicado: (2024)
por: Espitia, Giovanny, et al.
Publicado: (2024)
From Sentences to Sequences: Rethinking Languages in Biological System
por: Liu, Ke, et al.
Publicado: (2025)
por: Liu, Ke, et al.
Publicado: (2025)
TourSynbio: A Multi-Modal Large Model and Agent Framework to Bridge Text and Protein Sequences for Protein Engineering
por: Shen, Yiqing, et al.
Publicado: (2024)
por: Shen, Yiqing, et al.
Publicado: (2024)
Protein Design with Dynamic Protein Vocabulary
por: Liu, Nuowei, et al.
Publicado: (2025)
por: Liu, Nuowei, et al.
Publicado: (2025)
Peptide Sequencing Via Protein Language Models
por: Pham, Thuong Le Hoai, et al.
Publicado: (2024)
por: Pham, Thuong Le Hoai, et al.
Publicado: (2024)
Flows, straight but not so fast: Exploring the design space of Rectified Flows in Protein Design
por: Chen, Junhua, et al.
Publicado: (2025)
por: Chen, Junhua, et al.
Publicado: (2025)
AutoBinder Agent: An MCP-Based Agent for End-to-End Protein Binder Design
por: Ge, Fukang, et al.
Publicado: (2026)
por: Ge, Fukang, et al.
Publicado: (2026)
Diffusion Sequence Models for Enhanced Protein Representation and Generation
por: Hallee, Logan, et al.
Publicado: (2025)
por: Hallee, Logan, et al.
Publicado: (2025)
Advanced Deep Learning Methods for Protein Structure Prediction and Design
por: Zhang, Yichao, et al.
Publicado: (2025)
por: Zhang, Yichao, et al.
Publicado: (2025)
PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction
por: Wu, Lirong, et al.
Publicado: (2024)
por: Wu, Lirong, et al.
Publicado: (2024)
Energy Efficient Protein Language Models: Leveraging Small Language Models with LoRA for Controllable Protein Generation
por: Shah, Aayush, et al.
Publicado: (2024)
por: Shah, Aayush, et al.
Publicado: (2024)
AnnoDPO: Protein Functional Annotation Learning with Direct Preference Optimization
por: Jiang, Zixuan, et al.
Publicado: (2025)
por: Jiang, Zixuan, et al.
Publicado: (2025)
Non-Canonical Crosslinks Confound Evolutionary Protein Structure Models
por: Lacombe, Romain
Publicado: (2025)
por: Lacombe, Romain
Publicado: (2025)
Unifying Sequences, Structures, and Descriptions for Any-to-Any Protein Generation with the Large Multimodal Model HelixProtX
por: Chen, Zhiyuan, et al.
Publicado: (2024)
por: Chen, Zhiyuan, et al.
Publicado: (2024)
Prot2Chat: Protein LLM with Early-Fusion of Text, Sequence and Structure
por: Wang, Zhicong, et al.
Publicado: (2025)
por: Wang, Zhicong, et al.
Publicado: (2025)
Speak to a Protein: An Interactive Multimodal Co-Scientist for Protein Analysis
por: Navarro, Carles, et al.
Publicado: (2025)
por: Navarro, Carles, et al.
Publicado: (2025)
Conditioned Generative Modeling of Molecular Glues: A Realistic AI Approach for Synthesizable Drug-like Molecules
por: Islam, Naeyma N., et al.
Publicado: (2026)
por: Islam, Naeyma N., et al.
Publicado: (2026)
Leveraging Large Language Models for enzymatic reaction prediction and characterization
por: Di Fruscia, Lorenzo, et al.
Publicado: (2025)
por: Di Fruscia, Lorenzo, et al.
Publicado: (2025)
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)
S$^2$ALM: Sequence-Structure Pre-trained Large Language Model for Comprehensive Antibody Representation Learning
por: Yin, Mingze, et al.
Publicado: (2024)
por: Yin, Mingze, et al.
Publicado: (2024)
Improved Off-policy Reinforcement Learning in Biological Sequence Design
por: Kim, Hyeonah, et al.
Publicado: (2024)
por: Kim, Hyeonah, et al.
Publicado: (2024)
On Recovering Higher-order Interactions from Protein Language Models
por: Tsui, Darin, et al.
Publicado: (2024)
por: Tsui, Darin, et al.
Publicado: (2024)
Ejemplares similares
-
Ligand-Conditioned Discrete Diffusion for Protein Sequence-Structure Co-Design
por: Wei, Chen, et al.
Publicado: (2026) -
ProtFlow: Fast Protein Sequence Design via Flow Matching on Compressed Protein Language Model Embeddings
por: Kong, Zitai, et al.
Publicado: (2025) -
Improving Protein Sequence Design through Designability Preference Optimization
por: Xue, Fanglei, et al.
Publicado: (2025) -
A Survey of Deep Learning Methods in Protein Bioinformatics and its Impact on Protein Design
por: Dai, Weihang
Publicado: (2025) -
From Supervision to Exploration: What Does Protein Language Model Learn During Reinforcement Learning?
por: Cao, Hanqun, et al.
Publicado: (2025)