Cover Image

A Text-guided Protein Design Framework

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Shengchao, Li, Yanjing, Li, Zhuoxinran, Gitter, Anthony, Zhu, Yutao, Lu, Jiarui, Xu, Zhao, Nie, Weili, Ramanathan, Arvind, Xiao, Chaowei, Tang, Jian, Guo, Hongyu, Anandkumar, Anima
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence Quantitative Methods
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing
by: Liu, Shengchao, et al.
Published: (2022)

A Multi-Grained Symmetric Differential Equation Model for Learning Protein-Ligand Binding Dynamics
by: Liu, Shengchao, et al.
Published: (2024)

Unsupervised Discovery of Steerable Factors When Graph Deep Generative Models Are Entangled
by: Liu, Shengchao, et al.
Published: (2024)

Manifold-Constrained Nucleus-Level Denoising Diffusion Model for Structure-Based Drug Design
by: Liu, Shengchao, et al.
Published: (2024)

Exploring zero-shot structure-based protein fitness prediction
by: Sharma, Arnav, et al.
Published: (2025)

Equivariant Graph Neural Operator for Modeling 3D Dynamics
by: Xu, Minkai, et al.
Published: (2024)

Assay2Mol: large language model-based drug design using BioAssay context
by: Deng, Yifan, et al.
Published: (2025)

Chemical Language Model Linker: blending text and molecules with modular adapters
by: Deng, Yifan, et al.
Published: (2024)

Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling
by: Lu, Jiarui, et al.
Published: (2023)

Product Manifold Representations for Learning on Biological Pathways
by: McNeela, Daniel, et al.
Published: (2024)

chao1224/ProteinDT: v0.1
by: Shengchao Liu, et al.
Published: (2025)

Fusing Neural and Physical: Augment Protein Conformation Sampling with Tractable Simulations
by: Lu, Jiarui, et al.
Published: (2024)

Scalable Agentic Reasoning for Designing Biologics Targeting Intrinsically Disordered Proteins
by: Sinclair, Matthew, et al.
Published: (2025)

Annotation-guided Protein Design with Multi-Level Domain Alignment
by: Yuan, Chaohao, et al.
Published: (2024)

Self Distillation Fine-Tuning of Protein Language Models Improves Versatility in Protein Design
by: Tavakoli, Amin, et al.
Published: (2025)

Co-Generative De Novo Functional Protein Design
by: Chen, Xinrui, et al.
Published: (2026)

Pseudodata-guided Invariant Representation Learning Boosts the Out-of-Distribution Generalization in Enzymatic Kinetic Parameter Prediction
by: Wu, Haomin, et al.
Published: (2026)

ProtoCycle: Reflective Tool-Augmented Planning for Text-Guided Protein Design
by: Ge, Yutang, et al.
Published: (2026)

The Protein Engineering Tournament: An Open Science Benchmark for Protein Modeling and Design
by: Armer, Chase, et al.
Published: (2023)

Soft Modes as a Predictive Framework for Low Dimensional Biological Systems across Scales
by: Russo, Christopher Joel, et al.
Published: (2024)

VibeProteinBench: An Evaluation Benchmark for Language-interfaced Vibe Protein Design
by: Seo, Hyunjin, et al.
Published: (2026)

GraPPI: A Retrieve-Divide-Solve GraphRAG Framework for Large-scale Protein-protein Interaction Exploration
by: Li, Ziwen, et al.
Published: (2025)

ProtT3: Protein-to-Text Generation for Text-based Protein Understanding
by: Liu, Zhiyuan, et al.
Published: (2024)

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

Beyond Protein Language Models: An Agentic LLM Framework for Mechanistic Enzyme Design
by: Jacob, Bruno, et al.
Published: (2025)

DisProtEdit: Exploring Disentangled Representations for Multi-Attribute Protein Editing
by: Ku, Max, et al.
Published: (2025)

Domain-Aware Geometric Multimodal Learning for Multi-Domain Protein-Ligand Affinity Prediction
by: Zhang, Shuo, et al.
Published: (2026)

General Protein Pretraining or Domain-Specific Designs? Benchmarking Protein Modeling on Realistic Applications
by: Yan, Shuo, et al.
Published: (2025)

AutoProteinEngine: A Large Language Model Driven Agent Framework for Multimodal AutoML in Protein Engineering
by: Liu, Yungeng, et al.
Published: (2024)

DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing
by: Zhang, Yangtian, et al.
Published: (2023)

A DNA-Centric Mechanism for Protein Targeting in 6mA Methylation
by: Yang, Li, et al.
Published: (2025)

A-CODE: Fully Atomic Protein Co-Design with Unified Multimodal Diffusion
by: Cheng, Chaoran, et al.
Published: (2026)

STELLAR-koff: A Transfer Learning Model for Protein-Ligand Dissociation Rate Constant Prediction Based on Interaction Landscape
by: Li, Jingyuan
Published: (2025)

Re‐examination of statistical relationships between dietary fats and other risk factors, and cardiovascular disease, based on two crucial datasets
by: Jiarui Ou, et al.
Published: (2024)

Learning the Interaction Prior for Protein-Protein Interaction Prediction: A Model-Agnostic Approach
by: Gao, Ziqi, et al.
Published: (2026)

ProT-GFDM: A Generative Fractional Diffusion Model for Protein Generation
by: Liang, Xiao, et al.
Published: (2025)

AgentPLM: Agentic Protein Language Models with Reasoning-Augmented Decoding for Protein Sequence Design
by: Rahman, Sahil, et al.
Published: (2026)

Validation of an LLM-based Multi-Agent Framework for Protein Engineering in Dry Lab and Wet Lab
by: Chen, Zan, et al.
Published: (2024)

Deep learning-guided evolutionary optimization for protein design
by: Hartman, Erik, et al.
Published: (2026)

Towards a Unified Framework for Determining Conformational Ensembles of Disordered Proteins
by: Ghafouri, Hamidreza, et al.
Published: (2025)