Cargando…

Graph pyramids for protein function prediction

BACKGROUND: Uncovering the hidden organizational characteristics and regularities among biological sequences is the key issue for detailed understanding of an underlying biological phenomenon. Thus pattern recognition from nucleic acid sequences is an important affair for protein function prediction...

Descripción completa

Detalles Bibliográficos
Autores principales:	Sandhan, Tushar, Yoo, Youngjun, Choi, Jin Young, Kim, Sun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2015
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4460595/ https://www.ncbi.nlm.nih.gov/pubmed/26044522 http://dx.doi.org/10.1186/1755-8794-8-S2-S12

Ejemplares similares

Explainable fMRI‐based brain decoding via spatial temporal‐pyramid graph convolutional network
por: Ye, Ziyuan, et al.
Publicado: (2023)

Entropy-Based Graph Clustering of PPI Networks for Predicting Overlapping Functional Modules of Proteins
por: Jeong, Hoyeon, et al.
Publicado: (2021)

DeepGraphGO: graph neural network for large-scale, multispecies protein function prediction
por: You, Ronghui, et al.
Publicado: (2021)

Graph-based prediction of Protein-protein interactions with attributed signed graph embedding
por: Yang, Fang, et al.
Publicado: (2020)

Predicting functions of maize proteins using graph convolutional network
por: Zhou, Guangjie, et al.
Publicado: (2020)

Hierarchical graph transformer with contrastive learning for protein function prediction
por: Gu, Zhonghui, et al.
Publicado: (2023)

Characteristics of the aberrant pyramidal tract in comparison with the pyramidal tract in the human brain
por: Kwon, Hyeok Gyu, et al.
Publicado: (2011)

Struct2Graph: a graph attention network for structure based predictions of protein–protein interactions
por: Baranwal, Mayank, et al.
Publicado: (2022)

GCRNN: graph convolutional recurrent neural network for compound–protein interaction prediction
por: Elbasani, Ermal, et al.
Publicado: (2022)

Pyramid Inter-Attention for High Dynamic Range Imaging
por: Choi, Sungil, et al.
Publicado: (2020)

Clinical characteristics of papillary thyroid carcinoma arising from the pyramidal lobe
por: Yoon, Sang Gab, et al.
Publicado: (2017)

Predicting lncRNA-protein interactions with bipartite graph embedding and deep graph neural networks
por: Ma, Yuzhou, et al.
Publicado: (2023)

PANDA2: protein function prediction using graph neural networks
por: Zhao, Chenguang, et al.
Publicado: (2022)

Structure-based protein function prediction using graph convolutional networks
por: Gligorijević, Vladimir, et al.
Publicado: (2021)

Refining intra-protein contact prediction by graph analysis
por: Frenkel-Morgenstern, Milana, et al.
Publicado: (2007)

PyramidalExplorer: A New Interactive Tool to Explore Morpho-Functional Relations of Human Pyramidal Neurons
por: Toharia, Pablo, et al.
Publicado: (2016)

Graph embeddings on gene ontology annotations for protein–protein interaction prediction
por: Zhong, Xiaoshi, et al.
Publicado: (2020)

Efficient learning of non-autoregressive graph variational autoencoders for molecular graph generation
por: Kwon, Youngchun, et al.
Publicado: (2019)

The Base of the Pyramid
por: Kellermann, Arthur L.
Publicado: (2010)

The Great Pyramid
Publicado: (1883)

The Great Pyramids
Publicado: (1874)

Comparison of the Incidence of Postoperative Hypothyroidism in Patients Undergoing Conventional Thyroid Lobectomy and Pyramid- and Isthmus-Preserving Lobectomy
por: Cho, Min Jeong, et al.
Publicado: (2021)

Ligand Binding Prediction Using Protein Structure Graphs and Residual Graph Attention Networks
por: Pandey, Mohit, et al.
Publicado: (2022)

graphDelta: MPNN Scoring Function for the Affinity Prediction of Protein–Ligand Complexes
por: Karlov, Dmitry S., et al.
Publicado: (2020)

GrAPFI: predicting enzymatic function of proteins from domain similarity graphs
por: Sarker, Bishnu, et al.
Publicado: (2020)

Graph embedding-based novel protein interaction prediction via higher-order graph convolutional network
por: Xiao, Ze, et al.
Publicado: (2020)

Deep Ensemble Learning with Atrous Spatial Pyramid Networks for Protein Secondary Structure Prediction
por: Guo, Yuzhi, et al.
Publicado: (2022)

SGGformer: Shifted Graph Convolutional Graph-Transformer for Traffic Prediction
por: Pu, Shilin, et al.
Publicado: (2022)

Graph Neural Network for Protein–Protein Interaction Prediction: A Comparative Study
por: Zhou, Hang, et al.
Publicado: (2022)

Combining protein sequences and structures with transformers and equivariant graph neural networks to predict protein function
por: Boadu, Frimpong, et al.
Publicado: (2023)

Combining protein sequences and structures with transformers and equivariant graph neural networks to predict protein function
por: Boadu, Frimpong, et al.
Publicado: (2023)

A Low-Cost Surge Current Detection Sensor with Predictive Lifetime Display Function for Maintenance of Surge Protective Devices
por: Lee, Youngjun, et al.
Publicado: (2020)

The pyramids of Egypt : drawings
por: Edwards, Iorwerth Eiddon Stephen
Publicado: (1949)

Addition of funding statement: Clinical characteristics of papillary thyroid carcinoma arising from the pyramidal lobe
por: Yoon, Sang Gab, et al.
Publicado: (2017)

Infantile Perianal Pyramidal Protrusion
por: Song, Hyo Sang, et al.
Publicado: (2014)

Morphology cluster and prediction of growth of human brain pyramidal neurons★
por: Yu, Chao, et al.
Publicado: (2012)

Prediction of protein–protein interaction using graph neural networks
por: Jha, Kanchan, et al.
Publicado: (2022)

Prediction of the Location of the Pyramidal Tract in Patients with Thalamic or Basal Ganglia Tumors
por: Hou, YuanZheng, et al.
Publicado: (2012)

Adjusting protein graphs based on graph entropy
por: Peng, Sheng-Lung, et al.
Publicado: (2014)

Protein localization prediction using random walks on graphs
por: Xu, Xiaohua, et al.
Publicado: (2013)

Cannot write session to /tmp/vufind_sessions/sess_76kbubol28omg9vhaet70lmvv1