VenusFactory: A Unified Platform for Protein Engineering Data Retrieval and Language Model Fine-Tuning
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Tan, Yang, Liu, Chen, Gao, Jingyuan, Wu, Banghao, Li, Mingchen, Wang, Ruilin, Zhang, Lingrong, Yu, Huiqun, Fan, Guisheng, Hong, Liang, Zhou, Bingxin |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
VenusX: Unlocking Fine-Grained Functional Understanding of Proteins
par: Tan, Yang, et autres
Publié: (2025)
par: Tan, Yang, et autres
Publié: (2025)
Retrieval-Enhanced Mutation Mastery: Augmenting Zero-Shot Prediction of Protein Language Model
par: Tan, Yang, et autres
Publié: (2024)
par: Tan, Yang, et autres
Publié: (2024)
VenusMutHub: A systematic evaluation of protein mutation effect predictors on small-scale experimental data
par: Zhang, Liang, et autres
Publié: (2025)
par: Zhang, Liang, et autres
Publié: (2025)
Sequence-Only Prediction of Binding Affinity Changes: A Robust and Interpretable Model for Antibody Engineering
par: Liu, Chen, et autres
Publié: (2025)
par: Liu, Chen, et autres
Publié: (2025)
CPE-Pro: A Structure-Sensitive Deep Learning Method for Protein Representation and Origin Evaluation
par: Gou, Wenrui, et autres
Publié: (2024)
par: Gou, Wenrui, et autres
Publié: (2024)
ProtSolM: Protein Solubility Prediction with Multi-modal Features
par: Tan, Yang, et autres
Publié: (2024)
par: Tan, Yang, et autres
Publié: (2024)
Self-evolving AI agents for protein discovery and directed evolution
par: Tan, Yang, et autres
Publié: (2026)
par: Tan, Yang, et autres
Publié: (2026)
TemPL: A Novel Deep Learning Model for Zero-Shot Prediction of Protein Stability and Activity Based on Temperature-Guided Language Modeling
par: Tan, Pan, et autres
Publié: (2023)
par: Tan, Pan, et autres
Publié: (2023)
Rank-and-Reason: Multi-Agent Collaboration Accelerates Zero-Shot Protein Mutation Prediction
par: Tan, Yang, et autres
Publié: (2026)
par: Tan, Yang, et autres
Publié: (2026)
Protein Representation Learning with Sequence Information Embedding: Does it Always Lead to a Better Performance?
par: Tan, Yang, et autres
Publié: (2024)
par: Tan, Yang, et autres
Publié: (2024)
STELLAR-koff: A Transfer Learning Model for Protein-Ligand Dissociation Rate Constant Prediction Based on Interaction Landscape
par: Li, Jingyuan
Publié: (2025)
par: Li, Jingyuan
Publié: (2025)
Fast and Interpretable Protein Substructure Alignment via Optimal Transport
par: Wang, Zhiyu, et autres
Publié: (2025)
par: Wang, Zhiyu, et autres
Publié: (2025)
Seq2Bind Webserver for Decoding Binding Hotspots directly from Sequences using Fine-Tuned Protein Language Models
par: Ma, Xiang, et autres
Publié: (2025)
par: Ma, Xiang, et autres
Publié: (2025)
FAPS: A Fast Platform for Protein Structureomics Analysis
par: Wilken, Lucas, et autres
Publié: (2025)
par: Wilken, Lucas, et autres
Publié: (2025)
TourSynbio-Search: A Large Language Model Driven Agent Framework for Unified Search Method for Protein Engineering
par: Liu, Yungeng, et autres
Publié: (2024)
par: Liu, Yungeng, et autres
Publié: (2024)
The Protein Engineering Tournament: An Open Science Benchmark for Protein Modeling and Design
par: Armer, Chase, et autres
Publié: (2023)
par: Armer, Chase, et autres
Publié: (2023)
PRISM: Enhancing Protein Inverse Folding through Fine-Grained Retrieval on Structure-Sequence Multimodal Representations
par: Mahbub, Sazan, et autres
Publié: (2025)
par: Mahbub, Sazan, et autres
Publié: (2025)
An Interactive Platform for Unified Assessment of Drug-Drug Interactions Using Descriptive and Pharmacokinetic Data
par: Diadkina, Nadezhda
Publié: (2025)
par: Diadkina, Nadezhda
Publié: (2025)
AutoProteinEngine: A Large Language Model Driven Agent Framework for Multimodal AutoML in Protein Engineering
par: Liu, Yungeng, et autres
Publié: (2024)
par: Liu, Yungeng, et autres
Publié: (2024)
Validation of an LLM-based Multi-Agent Framework for Protein Engineering in Dry Lab and Wet Lab
par: Chen, Zan, et autres
Publié: (2024)
par: Chen, Zan, et autres
Publié: (2024)
Towards a Unified Framework for Determining Conformational Ensembles of Disordered Proteins
par: Ghafouri, Hamidreza, et autres
Publié: (2025)
par: Ghafouri, Hamidreza, et autres
Publié: (2025)
Leveraging Retrieval-Augmented Generation and Large Language Models to Predict SERCA-Binding Protein Fragments from Cardiac Proteomics Data
par: Phillips, Taylor A, et autres
Publié: (2025)
par: Phillips, Taylor A, et autres
Publié: (2025)
Greater than the Sum of Its Parts: Building Substructure into Protein Encoding Models
par: Calef, Robert, et autres
Publié: (2025)
par: Calef, Robert, et autres
Publié: (2025)
Brain Tumor Segmentation in Sub-Sahara Africa with Advanced Transformer and ConvNet Methods: Fine-Tuning, Data Mixing and Ensembling
par: Musah, Toufiq, et autres
Publié: (2025)
par: Musah, Toufiq, et autres
Publié: (2025)
ProT-GFDM: A Generative Fractional Diffusion Model for Protein Generation
par: Liang, Xiao, et autres
Publié: (2025)
par: Liang, Xiao, et autres
Publié: (2025)
VibeProteinBench: An Evaluation Benchmark for Language-interfaced Vibe Protein Design
par: Seo, Hyunjin, et autres
Publié: (2026)
par: Seo, Hyunjin, et autres
Publié: (2026)
RadDiff: Retrieval-Augmented Denoising Diffusion for Protein Inverse Folding
par: Han, Jin, et autres
Publié: (2025)
par: Han, Jin, et autres
Publié: (2025)
ECGomics: An Open Platform for AI-ECG Digital Biomarker Discovery
par: Zhang, Deyun, et autres
Publié: (2026)
par: Zhang, Deyun, et autres
Publié: (2026)
A-CODE: Fully Atomic Protein Co-Design with Unified Multimodal Diffusion
par: Cheng, Chaoran, et autres
Publié: (2026)
par: Cheng, Chaoran, et autres
Publié: (2026)
ST2HE: A Cross-Platform Framework for Virtual Histology and Annotation of High-Resolution Spatial Transcriptomics Data
par: Liu, Zhentao, et autres
Publié: (2025)
par: Liu, Zhentao, et autres
Publié: (2025)
LiveProteinBench: A Contamination-Free Benchmark for Assessing Models' Specialized Capabilities in Protein Science
par: Rong, Dingyi, et autres
Publié: (2025)
par: Rong, Dingyi, et autres
Publié: (2025)
ProtT-Affinity: Sequence-Based Protein-Protein Binding Affinity Prediction Using ProtT5 Embeddings
par: Lou, Hongfu
Publié: (2025)
par: Lou, Hongfu
Publié: (2025)
Automated Protein Motif Localization using Concept Activation Vectors in Protein Language Model Embedding Space
par: Shamail, Ahmad, et autres
Publié: (2025)
par: Shamail, Ahmad, et autres
Publié: (2025)
Co-Enrichment of Proteins in Extracellular Vesicles
par: Shen, Molly L., et autres
Publié: (2023)
par: Shen, Molly L., et autres
Publié: (2023)
Twin Peaks: Dual-Head Architecture for Structure-Free Prediction of Protein-Protein Binding Affinity and Mutation Effects
par: Dey, Supantha, et autres
Publié: (2025)
par: Dey, Supantha, et autres
Publié: (2025)
ProteinZero: Self-Improving Protein Generation via Online Reinforcement Learning
par: Wang, Ziwen, et autres
Publié: (2025)
par: Wang, Ziwen, et autres
Publié: (2025)
Scaling and Data Saturation in Protein Language Models
par: Spinner, Aviv, et autres
Publié: (2025)
par: Spinner, Aviv, et autres
Publié: (2025)
Detection of circular permutations by Protein Language Models
par: Hu, Yue, et autres
Publié: (2024)
par: Hu, Yue, et autres
Publié: (2024)
A Platform for the Biomedical Application of Large Language Models
par: Lobentanzer, Sebastian, et autres
Publié: (2023)
par: Lobentanzer, Sebastian, et autres
Publié: (2023)
Prot2Token: A Unified Framework for Protein Modeling via Next-Token Prediction
par: Pourmirzaei, Mahdi, et autres
Publié: (2025)
par: Pourmirzaei, Mahdi, et autres
Publié: (2025)
Documents similaires
-
VenusX: Unlocking Fine-Grained Functional Understanding of Proteins
par: Tan, Yang, et autres
Publié: (2025) -
Retrieval-Enhanced Mutation Mastery: Augmenting Zero-Shot Prediction of Protein Language Model
par: Tan, Yang, et autres
Publié: (2024) -
VenusMutHub: A systematic evaluation of protein mutation effect predictors on small-scale experimental data
par: Zhang, Liang, et autres
Publié: (2025) -
Sequence-Only Prediction of Binding Affinity Changes: A Robust and Interpretable Model for Antibody Engineering
par: Liu, Chen, et autres
Publié: (2025) -
CPE-Pro: A Structure-Sensitive Deep Learning Method for Protein Representation and Origin Evaluation
par: Gou, Wenrui, et autres
Publié: (2024)