Copertina

DCFold: Efficient Protein Structure Generation with Single Forward Pass

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Zhe, Feng, Yuanning, Song, Yuxuan, Qiu, Keyue, Zhou, Hao, Ma, Wei-Ying
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning Artificial Intelligence Quantitative Methods
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Improving AlphaFlow for Efficient Protein Ensembles Generation
di: Li, Shaoning, et al.
Pubblicazione: (2024)

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

Hashing for Protein Structure Similarity Search
di: Han, Jin, et al.
Pubblicazione: (2024)

Protein Autoregressive Modeling via Multiscale Structure Generation
di: Qu, Yanru, et al.
Pubblicazione: (2026)

Protein Structure Tokenization: Benchmarking and New Recipe
di: Yuan, Xinyu, et al.
Pubblicazione: (2025)

Dynamics-inspired Structure Hallucination for Protein-protein Interaction Modeling
di: Wu, Fang, et al.
Pubblicazione: (2026)

Training Compute-Optimal Protein Language Models
di: Cheng, Xingyi, et al.
Pubblicazione: (2024)

ProteinBench: A Holistic Evaluation of Protein Foundation Models
di: Ye, Fei, et al.
Pubblicazione: (2024)

Beyond Continuity: Simulation-free Reconstruction of Discrete Branching Dynamics from Single-cell Snapshots
di: Ying, Junda, et al.
Pubblicazione: (2026)

Spectral Coherence Index: A Model-Free Metric for Protein Structural Ensemble Quality Assessment
di: Bi, Yuda, et al.
Pubblicazione: (2026)

Exploring Latent Space for Generating Peptide Analogs Using Protein Language Models
di: Liang, Po-Yu, et al.
Pubblicazione: (2024)

Fast and Interpretable Protein Substructure Alignment via Optimal Transport
di: Wang, Zhiyu, et al.
Pubblicazione: (2025)

DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning
di: Xie, Jiaqing, et al.
Pubblicazione: (2024)

EquiCPI: SE(3)-Equivariant Geometric Deep Learning for Structure-Aware Prediction of Compound-Protein Interactions
di: Nguyen, Ngoc-Quang
Pubblicazione: (2025)

scpFormer: A Foundation Model for Unified Representation and Integration of the Single-Cell Proteomics
di: Zhou, Qifeng, et al.
Pubblicazione: (2026)

PhaGO: Protein function annotation for bacteriophages by integrating the genomic context
di: Guan, Jiaojiao, et al.
Pubblicazione: (2024)

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

Empowering Chemical Structures with Biological Insights for Scalable Phenotypic Virtual Screening
di: Lian, Xiaoqing, et al.
Pubblicazione: (2026)

Learning to Predict Mutation Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning
di: Wu, Lirong, et al.
Pubblicazione: (2024)

Lightweight MSA Design Advances Protein Folding From Evolutionary Embeddings
di: Cao, Hanqun, et al.
Pubblicazione: (2025)

Physiologically Informed Deep Learning: A Multi-Scale Framework for Next-Generation PBPK Modeling
di: Liu, Shunqi, et al.
Pubblicazione: (2026)

Evolutionary Profiles for Protein Fitness Prediction
di: Fan, Jigang, et al.
Pubblicazione: (2025)

HyboWaveNet: Hyperbolic Graph Neural Networks with Multi-Scale Wavelet Transform for Protein-Protein Interaction Prediction
di: Yu, Qingzhi, et al.
Pubblicazione: (2025)

ProtTeX-CC: Activating In-Context Learning in Protein LLM via Two-Stage Instruction Compression
di: Fan, Chuanliu, et al.
Pubblicazione: (2025)

A Text-guided Protein Design Framework
di: Liu, Shengchao, et al.
Pubblicazione: (2023)

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

HSA-Net: Hierarchical and Structure-Aware Framework for Efficient and Scalable Molecular Language Modeling
di: Shao, Zihang, et al.
Pubblicazione: (2025)

xTrimoPGLM: Unified 100B-Scale Pre-trained Transformer for Deciphering the Language of Protein
di: Chen, Bo, et al.
Pubblicazione: (2024)

Protenix-Mini: Efficient Structure Predictor via Compact Architecture, Few-Step Diffusion and Switchable pLM
di: Gong, Chengyue, et al.
Pubblicazione: (2025)

Elucidating the Design Space of Multimodal Protein Language Models
di: Hsieh, Cheng-Yen, et al.
Pubblicazione: (2025)

Revolutionizing Personalized Cancer Vaccines with NEO: Novel Epitope Optimization Using an Aggregated Feed Forward and Recurrent Neural Network with LSTM Architecture
di: Basava, Nishanth
Pubblicazione: (2024)

Adaptive Multimodal Protein Plug-and-Play with Diffusion-Based Priors
di: Banerjee, Amartya, et al.
Pubblicazione: (2025)

A Novel Framework for Multi-Modal Protein Representation Learning
di: Zheng, Runjie, et al.
Pubblicazione: (2025)

Large Language Model is Secretly a Protein Sequence Optimizer
di: Wang, Yinkai, et al.
Pubblicazione: (2025)

A Multimodal Foundation Model to Enhance Generalizability and Data Efficiency for Pan-cancer Prognosis Prediction
di: Zhou, Huajun, et al.
Pubblicazione: (2025)

Protein Structure Tokenization via Geometric Byte Pair Encoding
di: Sun, Michael, et al.
Pubblicazione: (2025)

Design Proteins Using Large Language Models: Enhancements and Comparative Analyses
di: Zeinalipour, Kamyar, et al.
Pubblicazione: (2024)

XAI-Driven Deep Learning for Protein Sequence Functional Group Classification
di: Chakraborty, Pratik, et al.
Pubblicazione: (2025)

Empowering LLMs for Structure-Based Drug Design via Exploration-Augmented Latent Inference
di: Hu, Xuanning, et al.
Pubblicazione: (2026)

FlatASCEND: Autoregressive Clinical Sequence Generation with Continuous Time Prediction and Association-Based Pharmacological Testing
di: Sainsbury, Chris, et al.
Pubblicazione: (2026)