Summary: Protein function prediction (PFP) is an automated function prediction method that predicts Gene Ontology (GO) annotations for a protein sequence using distantly related sequences and contextual associations of GO terms. Extended similarity group (ESG) is another GO prediction algorithm that makes predictions based on iterative sequence database searches. Here, we provide interactive web servers for the PFP and ESG algorithms that are equipped with an effective visualization of the GO predictions in a hierarchical topology. Availability: PFP/ESG servers are freely available a
Automated protein function prediction defines the designation of functions of unknown protein functi...
Argot2.5 (Annotation Retrieval of Gene Ontology Terms) is a web server designed to predict protein f...
Motivation: Most automatic functional annotation methods assign Gene Ontology (GO) terms to proteins...
Motivation: Importance of accurate automatic protein function prediction is ever increasing in the f...
The last decade of biological research has seen a tremendous push towards production of high volume ...
Understanding the functionality of proteins has emerged as a critical problem in recent years due to...
The impetus for the recent development and emergence of automated function prediction methods is an ...
Protein function prediction is a crucial part of genome annotation. Prediction methods have recently...
Motivation: Computational assignment of protein function may be the single most vital application of...
PFP: Automated prediction of gene ontology functional annotations with confidence scores using prote...
Improving the overall annotation level of genomes and completeness of biological pathways with high ...
Identifying protein functions can be useful for numerous applications in biology. The prediction of ...
Background: Many Automatic Function Prediction (AFP) methods were developed to cope with an increasi...
Background: Predicting protein function has become increasingly demanding in the era of next generat...
We present here the Extended Similarity Group (ESG) method, which annotates query sequences with Gen...
Automated protein function prediction defines the designation of functions of unknown protein functi...
Argot2.5 (Annotation Retrieval of Gene Ontology Terms) is a web server designed to predict protein f...
Motivation: Most automatic functional annotation methods assign Gene Ontology (GO) terms to proteins...
Motivation: Importance of accurate automatic protein function prediction is ever increasing in the f...
The last decade of biological research has seen a tremendous push towards production of high volume ...
Understanding the functionality of proteins has emerged as a critical problem in recent years due to...
The impetus for the recent development and emergence of automated function prediction methods is an ...
Protein function prediction is a crucial part of genome annotation. Prediction methods have recently...
Motivation: Computational assignment of protein function may be the single most vital application of...
PFP: Automated prediction of gene ontology functional annotations with confidence scores using prote...
Improving the overall annotation level of genomes and completeness of biological pathways with high ...
Identifying protein functions can be useful for numerous applications in biology. The prediction of ...
Background: Many Automatic Function Prediction (AFP) methods were developed to cope with an increasi...
Background: Predicting protein function has become increasingly demanding in the era of next generat...
We present here the Extended Similarity Group (ESG) method, which annotates query sequences with Gen...
Automated protein function prediction defines the designation of functions of unknown protein functi...
Argot2.5 (Annotation Retrieval of Gene Ontology Terms) is a web server designed to predict protein f...
Motivation: Most automatic functional annotation methods assign Gene Ontology (GO) terms to proteins...