MSNGO: multi-species protein function annotation based on 3D protein structure and network propagation
Fuente:
arXiv
Guardado en:
| Autores principales: | Wang, Beibei, Cui, Boyue, Chen, Shiqu, Wang, Xuan, Wang, Yadong, Li, Junyi |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
SynLeaF: A Dual-Stage Multimodal Fusion Framework for Synthetic Lethality Prediction Across Pan- and Single-Cancer Contexts
por: Xing, Zheming, et al.
Publicado: (2026)
por: Xing, Zheming, et al.
Publicado: (2026)
MAFA: A multi-agent framework for annotation
por: Hegazy, Mahmood, et al.
Publicado: (2025)
por: Hegazy, Mahmood, et al.
Publicado: (2025)
Advanced atom-level representations for protein flexibility prediction utilizing graph neural networks
por: Sarparast, Sina, et al.
Publicado: (2024)
por: Sarparast, Sina, et al.
Publicado: (2024)
Inferred global dense residue transition graphs from primary structure sequences enable protein interaction prediction via directed graph convolutional neural networks
por: Ebeid, Islam Akef, et al.
Publicado: (2025)
por: Ebeid, Islam Akef, et al.
Publicado: (2025)
FoldToken2: Learning compact, invariant and generative protein structure language
por: Gao, Zhangyang, et al.
Publicado: (2024)
por: Gao, Zhangyang, et al.
Publicado: (2024)
ProteoKnight: Convolution-based phage virion protein classification and uncertainty analysis
por: Neha, Samiha Afaf, et al.
Publicado: (2025)
por: Neha, Samiha Afaf, et al.
Publicado: (2025)
PSBench: a large-scale benchmark for estimating the accuracy of protein complex structural models
por: Neupane, Pawan, et al.
Publicado: (2025)
por: Neupane, Pawan, et al.
Publicado: (2025)
PPI-Net connects molecular protein interactions to functional processes in disease
por: Higgins, Kyle, et al.
Publicado: (2026)
por: Higgins, Kyle, et al.
Publicado: (2026)
The Fourier Spectral Transformer Networks For Efficient and Generalizable Nonlinear PDEs Prediction
por: Li, Beibei
Publicado: (2025)
por: Li, Beibei
Publicado: (2025)
Discriminative protein sequence modelling with Latent Space Diffusion
por: Quinn, Eoin, et al.
Publicado: (2025)
por: Quinn, Eoin, et al.
Publicado: (2025)
ENSEMBITS: an alphabet of protein conformational ensembles
por: Shi, Kaiwen, et al.
Publicado: (2026)
por: Shi, Kaiwen, et al.
Publicado: (2026)
From thermodynamics to protein design: Diffusion models for biomolecule generation towards autonomous protein engineering
por: Li, Wen-ran, et al.
Publicado: (2025)
por: Li, Wen-ran, et al.
Publicado: (2025)
Beyond Dense States: Elevating Sparse Transcoders to Active Operators for Latent Reasoning
por: Wang, Yadong, et al.
Publicado: (2026)
por: Wang, Yadong, et al.
Publicado: (2026)
Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design
por: Zheng, Jiangbin, et al.
Publicado: (2024)
por: Zheng, Jiangbin, et al.
Publicado: (2024)
Diffusion on language model encodings for protein sequence generation
por: Meshchaninov, Viacheslav, et al.
Publicado: (2024)
por: Meshchaninov, Viacheslav, et al.
Publicado: (2024)
PhaGO: Protein function annotation for bacteriophages by integrating the genomic context
por: Guan, Jiaojiao, et al.
Publicado: (2024)
por: Guan, Jiaojiao, et al.
Publicado: (2024)
Causal invariant geographic network representations with feature and structural distribution shifts
por: Wang, Yuhan, et al.
Publicado: (2025)
por: Wang, Yuhan, et al.
Publicado: (2025)
Transformers trained on proteins can learn to attend to Euclidean distance
por: Ellmen, Isaac, et al.
Publicado: (2025)
por: Ellmen, Isaac, et al.
Publicado: (2025)
Learning Solution-Aware Transformers for Efficiently Solving Quadratic Assignment Problem
por: Tan, Zhentao, et al.
Publicado: (2024)
por: Tan, Zhentao, et al.
Publicado: (2024)
Target noise: A pre-training based neural network initialization for efficient high resolution learning
por: Wang, Shaowen, et al.
Publicado: (2026)
por: Wang, Shaowen, et al.
Publicado: (2026)
Gene Regulatory Network Inference from Pre-trained Single-Cell Transcriptomics Transformer with Joint Graph Learning
por: Kommu, Sindhura, et al.
Publicado: (2024)
por: Kommu, Sindhura, et al.
Publicado: (2024)
Randomness and signal propagation in physics-informed neural networks (PINNs): A neural PDE perspective
por: Tucny, Jean-Michel, et al.
Publicado: (2025)
por: Tucny, Jean-Michel, et al.
Publicado: (2025)
Heterogeneous network drug-target interaction prediction model based on graph wavelet transform and multi-level contrastive learning
por: Dai, Wenfeng, et al.
Publicado: (2025)
por: Dai, Wenfeng, et al.
Publicado: (2025)
FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking
por: Rao, Xuan, et al.
Publicado: (2025)
por: Rao, Xuan, et al.
Publicado: (2025)
Resilience Inference for Supply Chains with Hypergraph Neural Network
por: Shen, Zetian, et al.
Publicado: (2025)
por: Shen, Zetian, et al.
Publicado: (2025)
Dynamics-inspired Structure Hallucination for Protein-protein Interaction Modeling
por: Wu, Fang, et al.
Publicado: (2026)
por: Wu, Fang, et al.
Publicado: (2026)
Generative modeling of protein ensembles guided by crystallographic electron densities
por: Maddipatla, Sai Advaith, et al.
Publicado: (2024)
por: Maddipatla, Sai Advaith, et al.
Publicado: (2024)
Geometric-Facilitated Denoising Diffusion Model for 3D Molecule Generation
por: Xu, Can, et al.
Publicado: (2024)
por: Xu, Can, et al.
Publicado: (2024)
Asymptotically Stable Quaternion-valued Hopfield-structured Neural Network with Periodic Projection-based Supervised Learning Rules
por: Wang, Tianwei, et al.
Publicado: (2025)
por: Wang, Tianwei, et al.
Publicado: (2025)
Planning-Augmented Sampling with Early Guidance for High-Reward Discovery
por: Zhu, Rui, et al.
Publicado: (2025)
por: Zhu, Rui, et al.
Publicado: (2025)
RDI: An adversarial robustness evaluation metric for deep neural networks based on model statistical features
por: Song, Jialei, et al.
Publicado: (2025)
por: Song, Jialei, et al.
Publicado: (2025)
Deep-layer limit and stability analysis of the basic forward-backward-splitting induced network (II): learning problems
por: Lin, Xuan, et al.
Publicado: (2026)
por: Lin, Xuan, et al.
Publicado: (2026)
PatchProt: Hydrophobic patch prediction using protein foundation models
por: Gogishvili, Dea, et al.
Publicado: (2024)
por: Gogishvili, Dea, et al.
Publicado: (2024)
Multiple Kronecker RLS fusion-based link propagation for drug-side effect prediction
por: Qian, Yuqing, et al.
Publicado: (2024)
por: Qian, Yuqing, et al.
Publicado: (2024)
Tensor-Fused Multi-View Graph Contrastive Learning
por: Wu, Yujia, et al.
Publicado: (2024)
por: Wu, Yujia, et al.
Publicado: (2024)
Zero-shot protein stability prediction by inverse folding models: a free energy interpretation
por: Frellsen, Jes, et al.
Publicado: (2025)
por: Frellsen, Jes, et al.
Publicado: (2025)
UniAlign: A Model-Agnostic Framework for Robust Network Traffic Classification under Distribution Shifts
por: Wang, Tongze, et al.
Publicado: (2026)
por: Wang, Tongze, et al.
Publicado: (2026)
UniGenX: a unified generative foundation model that couples sequence, structure and function to accelerate scientific design across proteins, molecules and materials
por: Zhang, Gongbo, et al.
Publicado: (2025)
por: Zhang, Gongbo, et al.
Publicado: (2025)
Prediction of Bank Credit Ratings using Heterogeneous Topological Graph Neural Networks
por: Liu, Junyi, et al.
Publicado: (2025)
por: Liu, Junyi, et al.
Publicado: (2025)
Generalist++: A Meta-learning Framework for Mitigating Trade-off in Adversarial Training
por: Wang, Yisen, et al.
Publicado: (2025)
por: Wang, Yisen, et al.
Publicado: (2025)
Ejemplares similares
-
SynLeaF: A Dual-Stage Multimodal Fusion Framework for Synthetic Lethality Prediction Across Pan- and Single-Cancer Contexts
por: Xing, Zheming, et al.
Publicado: (2026) -
MAFA: A multi-agent framework for annotation
por: Hegazy, Mahmood, et al.
Publicado: (2025) -
Advanced atom-level representations for protein flexibility prediction utilizing graph neural networks
por: Sarparast, Sina, et al.
Publicado: (2024) -
Inferred global dense residue transition graphs from primary structure sequences enable protein interaction prediction via directed graph convolutional neural networks
por: Ebeid, Islam Akef, et al.
Publicado: (2025) -
FoldToken2: Learning compact, invariant and generative protein structure language
por: Gao, Zhangyang, et al.
Publicado: (2024)