AGONOTES: A Robot Annotator for Argonaute Proteins.


Journal

Interdisciplinary sciences, computational life sciences
ISSN: 1867-1462
Titre abrégé: Interdiscip Sci
Pays: Germany
ID NLM: 101515919

Informations de publication

Date de publication:
Mar 2020
Historique:
received: 25 06 2019
accepted: 30 10 2019
revised: 06 10 2019
pubmed: 20 11 2019
medline: 6 10 2020
entrez: 20 11 2019
Statut: ppublish

Résumé

The argonaute protein (Ago) exists in almost all organisms. In eukaryotes, it functions as a regulatory system for gene expression. In prokaryotes, it is a type of defense system against foreign invasive genomes. The Ago system has been engineered for gene silencing and genome editing and plays an important role in biological studies. With an increasing number of genomes and proteomes of various microbes becoming available, computational tools for identifying and annotating argonaute proteins are urgently needed. We introduce AGONOTES (Argonaute Notes). It is a web service especially designed for identifying and annotating Ago. AGONOTES uses the BLASTP similarity search algorithm to categorize all submitted proteins into three groups: prokaryotic argonaute protein (pAgo), eukaryotic argonaute protein (eAgo), and non-argonaute protein (non-Ago). Argonaute proteins can then be aligned to the corresponding standard set of Ago sequences using the multiple sequence alignment program MUSCLE. All functional domains of Ago can further be curated from the alignment results and visualized easily through Bio::Graphic modules in the BioPerl bundle. Compared with existing tools such as CD-Search and available databases such as UniProt and AGONOTES showed a much better performance on domain annotations, which is fundamental in studying the new Ago. AGONOTES can be freely accessed at http://i.uestc.edu.cn/agonotes/. AGONOTES is a friendly tool for annotating Ago domains from a proteome or a series of protein sequences.

Identifiants

pubmed: 31741225
doi: 10.1007/s12539-019-00349-4
pii: 10.1007/s12539-019-00349-4
doi:

Substances chimiques

Argonaute Proteins 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

109-116

Subventions

Organisme : National Natural Science Foundation of China
ID : 61571095
Organisme : Fundamental Research Funds for the Central Universities
ID : ZYGX2015Z006
Organisme : China Postdoctoral Science Foundation
ID : 2019M653369
Organisme : Sichuan Province Science and Technology Support Program
ID : 2018HH0154

Auteurs

Lixu Jiang (L)

Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 637111, China.

Min Yu (M)

Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 637111, China.

Yuwei Zhou (Y)

Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 637111, China.

Zhongjie Tang (Z)

Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 637111, China.

Ning Li (N)

Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 637111, China.

Juanjuan Kang (J)

Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 637111, China.

Bifang He (B)

Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 637111, China.
School of Medicine, Guizhou University, Guiyang, China.

Jian Huang (J)

Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 637111, China. hj@uestc.edu.cn.

Articles similaires

Selecting optimal software code descriptors-The case of Java.

Yegor Bugayenko, Zamira Kholmatova, Artem Kruglov et al.
1.00
Software Algorithms Programming Languages
Animals Hemiptera Insect Proteins Phylogeny Insecticides
1.00
Humans Magnetic Resonance Imaging Brain Infant, Newborn Infant, Premature
Humans Colorectal Neoplasms Biomarkers, Tumor Prognosis Gene Expression Regulation, Neoplastic

Classifications MeSH