Agos--a universal web tool for GW Argonaute-binding domain prediction
Andrzej Zielezinski1, Wojciech M Karlowski
1Laboratory of Computational Genomics, Institute of Molecular Biology and Biotechnology, Faculty of Biology, Adam Mickiewicz University, Poznan, Poland.
Bioinformatics (Oxford, England)
|March 10, 2011
Summary
We developed Agos, a new web tool to identify Argonaute (AGO)-binding domains (WG/GW domains) essential for RNAi. Agos overcomes limitations of existing tools, enabling accurate detection across all organisms.
Area of Science:
- Bioinformatics
- Molecular Biology
- Genomics
Background:
- AGO-binding domains are crucial for RNAi-mediated gene silencing.
- These domains, characterized by conserved tryptophan-glycine motifs (WG/GW), are difficult to detect due to sequence divergence.
- Existing bioinformatics tools fail to identify these weakly conserved functional segments.
Purpose of the Study:
- To introduce Agos, a novel universal web service for identifying WG/GW domains.
- To provide a de novo identification tool for Argonaute-binding segments in protein sequences.
- To offer an accessible solution for detecting functional WG/GW domains across diverse organisms.
Main Methods:
- Development of a novel algorithm based on amino acid compositional analysis.
- Implementation of a universal scoring matrix for cross-species identification.
- Creation of a user-friendly web service with enhanced selectivity and graphical output.
Main Results:
- Agos successfully identifies WG/GW domains, including new proteins in the Arabidopsis genome.
- The tool demonstrates reduced false positive predictions through improved algorithm selectivity.
- Agos offers features like a universal scoring matrix, graphical browsing, and DNA sequence translation.
Conclusions:
- Agos is a powerful and universal web tool for identifying critical AGO-binding WG/GW domains.
- The service enhances the study of RNAi by enabling accurate detection of these elusive functional segments.
- Agos is freely available, facilitating research in gene silencing mechanisms across all organisms.
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Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally analyses the...
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A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to form...
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