A deep learning framework for gene ontology annotations with sequence-and network-based information
Knowledge of protein functions plays an important role in biology and medicine. With the
rapid development of high-throughput technologies, a huge number of proteins have been …
rapid development of high-throughput technologies, a huge number of proteins have been …
[HTML][HTML] PFP-WGAN: Protein function prediction by discovering Gene Ontology term correlations with generative adversarial networks
Understanding the functionality of proteins has emerged as a critical problem in recent years
due to significant roles of these macro-molecules in biological mechanisms. However, in …
due to significant roles of these macro-molecules in biological mechanisms. However, in …
PFresGO: an attention mechanism-based deep-learning approach for protein annotation by integrating gene ontology inter-relationships
Motivation The rapid accumulation of high-throughput sequence data demands the
development of effective and efficient data-driven computational methods to functionally …
development of effective and efficient data-driven computational methods to functionally …
Graph-in-graph network for automatic gene ontology description generation
Gene Ontology (GO) is the primary gene function knowledge base that enables
computational tasks in biomedicine. The basic element of GO is a term, which includes a set …
computational tasks in biomedicine. The basic element of GO is a term, which includes a set …
[HTML][HTML] Integrating unsupervised language model with triplet neural networks for protein gene ontology prediction
Accurate identification of protein function is critical to elucidate life mechanisms and design
new drugs. We proposed a novel deep-learning method, ATGO, to predict Gene Ontology …
new drugs. We proposed a novel deep-learning method, ATGO, to predict Gene Ontology …
DeepGOA: predicting gene ontology annotations of proteins via graph convolutional network
Gene Ontology (GO) uses a series of standardized and controlled GO terms to describe the
molecular functions, biological process roles and cellular locations of gene products (ie …
molecular functions, biological process roles and cellular locations of gene products (ie …
PANDA2: protein function prediction using graph neural networks
High-throughput sequencing technologies have generated massive protein sequences, but
the annotations of protein sequences highly rely on the low-throughput and expensive …
the annotations of protein sequences highly rely on the low-throughput and expensive …
Deep_CNN_LSTM_GO: protein function prediction from amino-acid sequences
MEM Elhaj-Abdou, H El-Dib, A El-Helw… - … Biology and Chemistry, 2021 - Elsevier
Protein amino acid sequences can be used to determine the functions of the protein.
However, determining the function of a single protein requires many resources and a …
However, determining the function of a single protein requires many resources and a …
A deep learning framework for predicting protein functions with co-occurrence of GO terms
The understanding of protein functions is critical to many biological problems such as the
development of new drugs and new crops. To reduce the huge gap between the increase of …
development of new drugs and new crops. To reduce the huge gap between the increase of …
DeepGO: predicting protein functions from sequence and interactions using a deep ontology-aware classifier
Motivation A large number of protein sequences are becoming available through the
application of novel high-throughput sequencing technologies. Experimental functional …
application of novel high-throughput sequencing technologies. Experimental functional …