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Related Experiment Video

Updated: Feb 10, 2026

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Published on: June 17, 2012

PANNZER2: a rapid functional annotation web server.

Petri Törönen¹, Alan Medlar^1,2, Liisa Holm^1,3

¹Institute of Biotechnology, HiLife, University of Helsinki, 00014 Helsinki, Finland.

Nucleic Acids Research

|May 10, 2018

Summary

This summary is machine-generated.

PANNZER2 is a fast, high-performance web server for protein functional annotation, addressing the growing annotation gap. It provides reliable Gene Ontology (GO) and free text predictions, outperforming other methods in benchmarks.

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Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins

Published on: July 8, 2025

Area of Science:

Bioinformatics
Computational Biology
Genomics

Background:

High-throughput sequencing has created a significant protein annotation gap in databases.
Existing computational prediction tools often suffer from practical limitations and poor performance.
Efficient and accurate protein functional annotation is crucial for biological research.

Purpose of the Study:

Introduce PANNZER2, a novel, high-performance web server for protein functional annotation.
Provide Gene Ontology (GO) annotations and free text description predictions.
Enable practical bulk annotation of proteins using sequence similarity.

Main Methods:

Utilizes SANSparallel for high-performance homology searches.
Implements multiple scoring functions for robust Gene Ontology (GO) annotation.
Leverages sequence similarity for large-scale protein annotation.

Main Results:

PANNZER2 offers fast functional annotation with both GO and free text predictions.
The server provides robust predictions by enabling comparison across multiple scoring functions.
PANNZER2 ranked among the top 10 methods in the CAFA2 benchmark for molecular function and biological process.

Conclusions:

PANNZER2 is a valuable and efficient tool for addressing the protein annotation gap.
The web server offers practical solutions for researchers needing high-throughput functional annotation.
PANNZER2 provides reliable predictions and is regularly updated, with source code available.