Image de couverture de livre

CryoFM: A Flow-based Foundation Model for Cryo-EM Densities

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhou, Yi, Li, Yilai, Yuan, Jing, Gu, Quanquan
Format:	Preprint
Publié:	2024
Sujets:	Biomolecules Artificial Intelligence Computational Engineering, Finance, and Science Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EM
par: Jeon, Minkyu, et autres
Publié: (2024)

Aligning Large Language Models and Geometric Deep Models for Protein Representation
par: Shu, Dong, et autres
Publié: (2024)

PepHarmony: A Multi-View Contrastive Learning Framework for Integrated Sequence and Structure-Based Peptide Encoding
par: Zhang, Ruochi, et autres
Publié: (2024)

Precise Antigen-Antibody Structure Predictions Enhance Antibody Development with HelixFold-Multimer
par: Gao, Jie, et autres
Publié: (2024)

ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding
par: Xiao, Yijia, et autres
Publié: (2024)

PILOT: Equivariant diffusion for pocket conditioned de novo ligand generation with multi-objective guidance via importance sampling
par: Cremer, Julian, et autres
Publié: (2024)

ACP-ESM: A novel framework for classification of anticancer peptides using protein-oriented transformer approach
par: Kilimci, Zeynep Hilal, et autres
Publié: (2024)

Effective Protein-Protein Interaction Exploration with PPIretrieval
par: Hua, Chenqing, et autres
Publié: (2024)

RNA-GPT: Multimodal Generative System for RNA Sequence Understanding
par: Xiao, Yijia, et autres
Publié: (2024)

Aligning Proteins and Language: A Foundation Model for Protein Retrieval
par: Wu, Qifeng, et autres
Publié: (2025)

ProtChatGPT: Towards Understanding Proteins with Large Language Models
par: Wang, Chao, et autres
Publié: (2024)

Text-Guided Molecule Generation with Diffusion Language Model
par: Gong, Haisong, et autres
Publié: (2024)

Protein Large Language Models: A Comprehensive Survey
par: Xiao, Yijia, et autres
Publié: (2025)

3D-MolT5: Leveraging Discrete Structural Information for Molecule-Text Modeling
par: Pei, Qizhi, et autres
Publié: (2024)

Task-Specific Sparse Feature Masks for Molecular Toxicity Prediction with Chemical Language Models
par: Lee, Kwun Sy, et autres
Publié: (2025)

AbBiBench: A Benchmark for Antibody Binding Affinity Maturation and Design
par: Zhao, Xinyan, et autres
Publié: (2025)

BConformeR: A Conformer Based on Mutual Sampling for Unified Prediction of Continuous and Discontinuous Antibody Binding Sites
par: You, Zhangyu, et autres
Publié: (2025)

ESM All-Atom: Multi-scale Protein Language Model for Unified Molecular Modeling
par: Zheng, Kangjie, et autres
Publié: (2024)

Scaffold Splits Overestimate Virtual Screening Performance
par: Guo, Qianrong, et autres
Publié: (2024)

BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning
par: Pei, Qizhi, et autres
Publié: (2024)

Exploring Drug Safety Through Knowledge Graphs: Protein Kinase Inhibitors as a Case Study
par: Jackson, David, et autres
Publié: (2026)

Graph Representation Learning Strategies for Omics Data: A Case Study on Parkinson's Disease
par: de Lope, Elisa Gómez, et autres
Publié: (2024)

Pre-Training on Large-Scale Generated Docking Conformations with HelixDock to Unlock the Potential of Protein-ligand Structure Prediction Models
par: Liu, Lihang, et autres
Publié: (2023)

PERC: a suite of software tools for the curation of cryoEM data with application to simulation, modelling and machine learning
par: Costa-Gomes, Beatriz, et autres
Publié: (2025)

Boltzmann-Aligned Inverse Folding Model as a Predictor of Mutational Effects on Protein-Protein Interactions
par: Jiao, Xiaoran, et autres
Publié: (2024)

CryoSAMU: Enhancing 3D Cryo-EM Density Maps of Protein Structures at Intermediate Resolution with Structure-Aware Multimodal U-Nets
par: Zhang, Chenwei, et autres
Publié: (2025)

AAVDiff: Experimental Validation of Enhanced Viability and Diversity in Recombinant Adeno-Associated Virus (AAV) Capsids through Diffusion Generation
par: Liu, Lijun, et autres
Publié: (2024)

Quantifying Cross-Attention Interaction in Transformers for Interpreting TCR-pMHC Binding
par: Li, Jiarui, et autres
Publié: (2025)

CAME-AB: Cross-Modality Attention with Mixture-of-Experts for Antibody Binding Site Prediction
par: Li, Hongzong, et autres
Publié: (2025)

De novo Drug Design using Reinforcement Learning with Multiple GPT Agents
par: Hu, Xiuyuan, et autres
Publié: (2023)

Re-evaluating sample efficiency in de novo molecule generation
par: Thomas, Morgan, et autres
Publié: (2022)

Empirical Evidence for the Fragment level Understanding on Drug Molecular Structure of LLMs
par: Hu, Xiuyuan, et autres
Publié: (2024)

Deep Neural Network-Based Prediction of B-Cell Epitopes for SARS-CoV and SARS-CoV-2: Enhancing Vaccine Design through Machine Learning
par: Shi, Xinyu, et autres
Publié: (2024)

Gradient GA: Gradient Genetic Algorithm for Drug Molecular Design
par: Zhuang, Chris, et autres
Publié: (2025)

Leveraging Partial SMILES Validation Scheme for Enhanced Drug Design in Reinforcement Learning Frameworks
par: Wang, Xinyu, et autres
Publié: (2025)

Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular Property Prediction: A Systematic Survey
par: Kuang, Taojie, et autres
Publié: (2024)

Accelerating Black-Box Molecular Property Optimization by Adaptively Learning Sparse Subspaces
par: Sorourifar, Farshud, et autres
Publié: (2024)

Enhancing Cryo-EM Density Map Segmentation in Phenix for Improved Atomic Model Building
par: Zhang, Chenwei
Publié: (2026)

Clustering for Protein Representation Learning
par: Quan, Ruijie, et autres
Publié: (2024)

Zero-Shot 3D Drug Design by Sketching and Generating
par: Long, Siyu, et autres
Publié: (2022)