Cover Image

ProtLLM: An Interleaved Protein-Language LLM with Protein-as-Word Pre-Training

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhuo, Le, Chi, Zewen, Xu, Minghao, Huang, Heyan, Zheng, Heqi, He, Conghui, Mao, Xian-Ling, Zhang, Wentao
Format:	Preprint
Published:	2024
Subjects:	Biomolecules Artificial Intelligence Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ProtScan: Modeling and Prediction of RNA-Protein Interactions
by: Corrado, Gianluca, et al.
Published: (2024)

Prot2Chat: Protein LLM with Early-Fusion of Text, Sequence and Structure
by: Wang, Zhicong, et al.
Published: (2025)

ProtComposer: Compositional Protein Structure Generation with 3D Ellipsoids
by: Stark, Hannes, et al.
Published: (2025)

OneProt: Towards Multi-Modal Protein Foundation Models
by: Flöge, Klemens, et al.
Published: (2024)

ProtTeX: Structure-In-Context Reasoning and Editing of Proteins with Large Language Models
by: Ma, Zicheng, et al.
Published: (2025)

ProtCLIP: Function-Informed Protein Multi-Modal Learning
by: Zhou, Hanjing, et al.
Published: (2024)

ProtFlow: Fast Protein Sequence Design via Flow Matching on Compressed Protein Language Model Embeddings
by: Kong, Zitai, et al.
Published: (2025)

ProtIR: Iterative Refinement between Retrievers and Predictors for Protein Function Annotation
by: Zhang, Zuobai, et al.
Published: (2024)

ProtChatGPT: Towards Understanding Proteins with Large Language Models
by: Wang, Chao, et al.
Published: (2024)

Prot42: a Novel Family of Protein Language Models for Target-aware Protein Binder Generation
by: Sayeed, Mohammad Amaan, et al.
Published: (2025)

ProLLM: Protein Chain-of-Thoughts Enhanced LLM for Protein-Protein Interaction Prediction
by: Jin, Mingyu, et al.
Published: (2024)

Scoring-Assisted Generative Exploration for Proteins (SAGE-Prot): A Framework for Multi-Objective Protein Optimization via Iterative Sequence Generation and Evaluation
by: Lim, Hocheol, et al.
Published: (2025)

Steering Protein Language Models
by: Huang, Long-Kai, et al.
Published: (2025)

ProteinEngine: Empower LLM with Domain Knowledge for Protein Engineering
by: Shen, Yiqing, et al.
Published: (2024)

STELLA: A Multimodal LLM for Protein Functional Annotation via Unified Sequence-Structure Encoding
by: Xiao, Hongwang, et al.
Published: (2025)

Diffusion Language Models Are Versatile Protein Learners
by: Wang, Xinyou, et al.
Published: (2024)

Toward the Explainability of Protein Language Models
by: Hunklinger, Andrea, et al.
Published: (2025)

MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training
by: Chen, Bo, et al.
Published: (2024)

An Energy-Adaptive Elastic Equivariant Transformer Framework for Protein Structure Representation
by: Zhang, Zhongyue, et al.
Published: (2025)

A Comprehensive Review of Protein Language Models
by: Wang, Lei, et al.
Published: (2025)

Unifying Sequences, Structures, and Descriptions for Any-to-Any Protein Generation with the Large Multimodal Model HelixProtX
by: Chen, Zhiyuan, et al.
Published: (2024)

ProtInvTree: Deliberate Protein Inverse Folding with Reward-guided Tree Search
by: Liu, Mengdi, et al.
Published: (2025)

Protein FID: Improved Evaluation of Protein Structure Generative Models
by: Faltings, Felix, et al.
Published: (2025)

Pre-Training Protein Bi-level Representation Through Span Mask Strategy On 3D Protein Chains
by: Zhao, Jiale, et al.
Published: (2024)

Into the Unknown: From Structure to Disorder in Protein Function Prediction
by: Kolarić, Đesika, et al.
Published: (2025)

Guiding Generative Protein Language Models with Reinforcement Learning
by: Stocco, Filippo, et al.
Published: (2024)

The Dance of Atoms-De Novo Protein Design with Diffusion Model
by: Qin, Yujie, et al.
Published: (2025)

SCOP: A Sequence-Structure Contrast-Aware Framework for Protein Function Prediction
by: Ma, Runze, et al.
Published: (2024)

Fold-switching Proteins
by: Chakravarty, Devlina, et al.
Published: (2025)

Open-Source Protein Language Models for Function Prediction and Protein Design
by: Pandi, Shivasankaran Vanaja, et al.
Published: (2024)

Hermes: Large DEL Datasets Train Generalizable Protein-Ligand Binding Prediction Models
by: Kleinsasser, Maxwell, et al.
Published: (2026)

Peptide Sequencing Via Protein Language Models
by: Pham, Thuong Le Hoai, et al.
Published: (2024)

ProteinWeaver: A Divide-and-Assembly Approach for Protein Backbone Design
by: Ma, Yiming, et al.
Published: (2024)

Decoding How Proteins Fold
by: Vila, Jorge
Published: (2025)

Challenges and Guidelines in Deep Generative Protein Design: Four Case Studies
by: Zheng, Tianyuan, et al.
Published: (2024)

A Protein Structure Prediction Approach Leveraging Transformer and CNN Integration
by: Zhou, Yanlin, et al.
Published: (2024)

PLD-Tree: Persistent Laplacian Decision Tree for Protein-Protein Binding Free Energy Prediction
by: Xu, Xingjian, et al.
Published: (2024)

Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer
by: Huang, Tinglin, et al.
Published: (2024)

Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction
by: Yu, Ziyang, et al.
Published: (2024)

MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding
by: Wu, Lirong, et al.
Published: (2024)