:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Banerjee, Amartya, Xu, Xingyu, Moosmüller, Caroline, Lee, Harlin
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Artificial Intelligence Quantitative Methods
Accès en ligne:	https://arxiv.org/abs/2507.21260
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Elucidating the Design Space of Multimodal Protein Language Models
par: Hsieh, Cheng-Yen, et autres
Publié: (2025)

Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design
par: Su, Xingyu, et autres
Publié: (2025)

Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design
par: Uehara, Masatoshi, et autres
Publié: (2025)

Equivariant Asynchronous Diffusion: An Adaptive Denoising Schedule for Accelerated Molecular Conformation Generation
par: An, Junyi, et autres
Publié: (2026)

DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning
par: Xie, Jiaqing, et autres
Publié: (2024)

A Text-guided Protein Design Framework
par: Liu, Shengchao, et autres
Publié: (2023)

Large Language Model is Secretly a Protein Sequence Optimizer
par: Wang, Yinkai, et autres
Publié: (2025)

Limitations of Sequence-Based Protein Representations for Parkinson's Disease Classification: A Leakage-Free Benchmark
par: Núñez-Prado, César Jesús, et autres
Publié: (2026)

Learning to Predict Mutation Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning
par: Wu, Lirong, et autres
Publié: (2024)

Hashing for Protein Structure Similarity Search
par: Han, Jin, et autres
Publié: (2024)

HyboWaveNet: Hyperbolic Graph Neural Networks with Multi-Scale Wavelet Transform for Protein-Protein Interaction Prediction
par: Yu, Qingzhi, et autres
Publié: (2025)

Quotient-Space Diffusion Models
par: Xu, Yixian, et autres
Publié: (2026)

Protein Structure Tokenization: Benchmarking and New Recipe
par: Yuan, Xinyu, et autres
Publié: (2025)

Training Compute-Optimal Protein Language Models
par: Cheng, Xingyi, et autres
Publié: (2024)

LAMP-PRo: Label-aware Attention for Multi-label Prediction of DNA- and RNA-binding Proteins using Protein Language Models
par: Ghosh, Nimisha, et autres
Publié: (2025)

Injecting Hierarchical Biological Priors into Graph Neural Networks for Flow Cytometry Prediction
par: Mojarrad, Fatemeh Nassajian, et autres
Publié: (2024)

Improving AlphaFlow for Efficient Protein Ensembles Generation
par: Li, Shaoning, et autres
Publié: (2024)

Feedback Efficient Online Fine-Tuning of Diffusion Models
par: Uehara, Masatoshi, et autres
Publié: (2024)

Bridging Geometric States via Geometric Diffusion Bridge
par: Luo, Shengjie, et autres
Publié: (2024)

Fast and Interpretable Protein Substructure Alignment via Optimal Transport
par: Wang, Zhiyu, et autres
Publié: (2025)

A Novel Framework for Multi-Modal Protein Representation Learning
par: Zheng, Runjie, et autres
Publié: (2025)

Dynamics-inspired Structure Hallucination for Protein-protein Interaction Modeling
par: Wu, Fang, et autres
Publié: (2026)

DCFold: Efficient Protein Structure Generation with Single Forward Pass
par: Zhang, Zhe, et autres
Publié: (2026)

Annotation-guided Protein Design with Multi-Level Domain Alignment
par: Yuan, Chaohao, et autres
Publié: (2024)

xTrimoPGLM: Unified 100B-Scale Pre-trained Transformer for Deciphering the Language of Protein
par: Chen, Bo, et autres
Publié: (2024)

Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review
par: Uehara, Masatoshi, et autres
Publié: (2024)

ProteinBench: A Holistic Evaluation of Protein Foundation Models
par: Ye, Fei, et autres
Publié: (2024)

Lightweight MSA Design Advances Protein Folding From Evolutionary Embeddings
par: Cao, Hanqun, et autres
Publié: (2025)

XAI-Driven Deep Learning for Protein Sequence Functional Group Classification
par: Chakraborty, Pratik, et autres
Publié: (2025)

Design Proteins Using Large Language Models: Enhancements and Comparative Analyses
par: Zeinalipour, Kamyar, et autres
Publié: (2024)

PhaGO: Protein function annotation for bacteriophages by integrating the genomic context
par: Guan, Jiaojiao, et autres
Publié: (2024)

MRC-GAT: A Meta-Relational Copula-Based Graph Attention Network for Interpretable Multimodal Alzheimer's Disease Diagnosis
par: Khalvandi, Fatemeh, et autres
Publié: (2026)

Domain Adaptive and Fine-grained Anomaly Detection for Single-cell Sequencing Data and Beyond
par: Xu, Kaichen, et autres
Publié: (2024)

DapPep: Domain Adaptive Peptide-agnostic Learning for Universal T-cell Receptor-antigen Binding Affinity Prediction
par: Zheng, Jiangbin, et autres
Publié: (2024)

Exploring Latent Space for Generating Peptide Analogs Using Protein Language Models
par: Liang, Po-Yu, et autres
Publié: (2024)

A Multimodal Foundation Model to Enhance Generalizability and Data Efficiency for Pan-cancer Prognosis Prediction
par: Zhou, Huajun, et autres
Publié: (2025)

General Protein Pretraining or Domain-Specific Designs? Benchmarking Protein Modeling on Realistic Applications
par: Yan, Shuo, et autres
Publié: (2025)

Deep Learning Model for Amyloidogenicity Prediction using a Pre-trained Protein LLM
par: Yagoub, Zohra, et autres
Publié: (2025)

A Comprehensive Review of Transformer-based language models for Protein Sequence Analysis and Design
par: Ghosh, Nimisha, et autres
Publié: (2025)

DualBind: A Dual-Loss Framework for Protein-Ligand Binding Affinity Prediction
par: Liu, Meng, et autres
Publié: (2024)