DPFunc: accurately predicting protein function via deep learning with domain-guided structure information

DPFunc: accurately predicting protein function via deep learning with domain-guided structure information

Computational methods for predicting protein function are of great significance in understanding biological mechanisms and treating complex diseases. However, existing computational approaches of protein function prediction lack interpretability, making it difficult to understand the relations betwe...

Bibliografiset tiedot
Päätekijät:	Wang, W, Shuai, Y, Zeng, M, Fan, W, Li, M
Aineistotyyppi:	Journal article
Kieli:	English
Julkaistu:	Nature Research 2025

Samankaltaisia teoksia

DPFunc: accurately predicting protein function via deep learning with domain-guided structure information
Tekijä: Wenkang Wang, et al.
Julkaistu: (2025-01-01)

Accurate Physical Property Predictions via Deep Learning
Tekijä: Yuanyuan Hou, et al.
Julkaistu: (2022-03-01)

Mutual information and variants for protein domain-domain contact prediction.
Tekijä: Gomes, M, et al.
Julkaistu: (2012)

Mutual information and variants for protein domain-domain contact prediction
Tekijä: Gomes Mireille, et al.
Julkaistu: (2012-08-01)

A Deep Learning Framework for Robust and Accurate Prediction of ncRNA-Protein Interactions Using Evolutionary Information
Tekijä: Hai-Cheng Yi, et al.
Julkaistu: (2018-06-01)

Accurate prediction of protein function using statistics-informed graph networks
Tekijä: Jang, YJ, et al.
Julkaistu: (2024)

Accurate prediction of protein function using statistics-informed graph networks
Tekijä: Yaan J. Jang, et al.
Julkaistu: (2024-08-01)

Accurate Prediction of Protein Structural Flexibility by Deep Learning Integrating Intricate Atomic Structures and Cryo-EM Density Information
Tekijä: Xintao Song, et al.
Julkaistu: (2024-07-01)

Accurate brain age prediction with lightweight deep neural networks
Tekijä: Peng, H, et al.
Julkaistu: (2020)

Deep Domain Adaptation, Pseudo-Labeling, and Shallow Network for Accurate and Fast Gait Prediction of Unlabeled Datasets
Tekijä: Jaeyoung Na, et al.
Julkaistu: (2023-01-01)

RNA-protein interaction prediction using network-guided deep learning
Tekijä: Haoquan Liu, et al.
Julkaistu: (2025-02-01)

Automated and accurate segmentation of leaf venation networks via deep learning
Tekijä: Xu, H, et al.
Julkaistu: (2020)

Accurate prediction of the dynamical changes within the second PDZ domain of PTP1e.
Tekijä: Elisa Cilia, et al.
Julkaistu: (2012-01-01)

Protein complex prediction via verifying and reconstructing the topology of domain-domain interactions
Tekijä: Kashima Hisashi, et al.
Julkaistu: (2010-06-01)

Combining Evolutionary Information and an Iterative Sampling Strategy for Accurate Protein Structure Prediction.
Tekijä: Tatjana Braun, et al.
Julkaistu: (2015-12-01)

Accurate classification of membrane protein types based on sequence and evolutionary information using deep learning
Tekijä: Lei Guo, et al.
Julkaistu: (2019-12-01)

Fast and accurate Ab Initio Protein structure prediction using deep learning potentials.
Tekijä: Robin Pearce, et al.
Julkaistu: (2022-09-01)

Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model.
Tekijä: Sheng Wang, et al.
Julkaistu: (2017-01-01)

Optimising Deep Learning at the Edge for Accurate Hourly Air Quality Prediction
Tekijä: I Nyoman Kusuma Wardana, et al.
Julkaistu: (2021-02-01)

Accurate Prediction of ncRNA-Protein Interactions From the Integration of Sequence and Evolutionary Information
Tekijä: Zhao-Hui Zhan, et al.
Julkaistu: (2018-10-01)

UGLS: an uncertainty guided deep learning strategy for accurate image segmentation
Tekijä: Xiaoguo Yang, et al.
Julkaistu: (2024-04-01)

Efficient and Accurate Traffic Flow Prediction via Incremental Tensor Completion
Tekijä: Jinzhi Liao, et al.
Julkaistu: (2018-01-01)

PeSTo: parameter-free geometric deep learning for accurate prediction of protein binding interfaces
Tekijä: Lucien F. Krapp, et al.
Julkaistu: (2023-04-01)

Merizo: a rapid and accurate protein domain segmentation method using invariant point attention
Tekijä: Andy M. Lau, et al.
Julkaistu: (2023-12-01)

DeepLigand: accurate prediction of MHC class I ligands using peptide embedding
Tekijä: Zeng, Haoyang, et al.
Julkaistu: (2021)

Deep neural networks for accurate predictions of crystal stability
Tekijä: Weike Ye, et al.
Julkaistu: (2018-09-01)

Multi-domain and complex protein structure prediction using inter-domain interactions from deep learning
Tekijä: Yuhao Xia, et al.
Julkaistu: (2023-12-01)

Robust and accurate prediction of residue–residue interactions across protein interfaces using evolutionary information
Tekijä: Sergey Ovchinnikov, et al.
Julkaistu: (2014-05-01)

Accurate prediction of protein secondary structure and solvent accessibility by consensus combiners of sequence and structure information
Tekijä: Vullo Alessandro, et al.
Julkaistu: (2007-06-01)

DeepHE: Accurately predicting human essential genes based on deep learning.
Tekijä: Xue Zhang, et al.
Julkaistu: (2020-09-01)

Toward Highly-Efficient and Accurate Services QoS Prediction via Machine Unlearning
Tekijä: Yuxiang Zeng, et al.
Julkaistu: (2023-01-01)

Accurate Solar Wind Speed Prediction with Multimodality Information
Tekijä: Yanru Sun, et al.
Julkaistu: (2022-01-01)

Utilizing shared interacting domain patterns and Gene Ontology information to improve protein-protein interaction prediction
Tekijä: Roslan, Rosfuzah, et al.
Julkaistu: (2010)

Utilizing shared interacting domain patterns and gene ontology information to improve protein–protein interaction prediction
Tekijä: Roslan, Rosfuzah, et al.
Julkaistu: (2010)

Four-protein signature accurately predicts lymph node metastasis and survival in oral squamous cell carcinoma
Tekijä: Zanaruddin, S.N.S., et al.
Julkaistu: (2013)

Towards Accurate Children’s Arabic Handwriting Recognition via Deep Learning
Tekijä: Anfal Bin Durayhim, et al.
Julkaistu: (2023-01-01)

Accurate prediction of CDR-H3 loop structures of antibodies with deep learning
Tekijä: Hedi Chen, et al.
Julkaistu: (2024-06-01)

HMM-FRAME: accurate protein domain classification for metagenomic sequences containing frameshift errors
Tekijä: Sun Yanni, et al.
Julkaistu: (2011-05-01)

An efficient and accurate deep learning architecture for text sentiment prediction
Tekijä: Tan, Jun En
Julkaistu: (2020)

Protein sub-nuclear localization prediction using SVM and Pfam domain information.
Tekijä: Ravindra Kumar, et al.
Julkaistu: (2014-01-01)