Alga-PrAS (Algal Protein Annotation Suite): A Database of Comprehensive Annotation in Algal Proteomes

被引：13

作者：

Kurotani, Atsushi ^{[1
]}

Yamada, Yutaka ^{[1
]}

Sakurai, Tetsuya ^{[1
,2
]}

机构：

[1] RIKEN, Ctr Sustainable Resource Sci, 1-7-22 Suehiro, Yokohama, Kanagawa 2300045, Japan

[2] Kochi Univ, Res & Educ Fac, Interdisciplinary Sci Unit, Multidisciplinary Sci Cluster, 200 Otsu, Nankoku, Kochi 7838502, Japan

来源：

PLANT AND CELL PHYSIOLOGY | 2017年 / 58卷 / 01期

基金：

日本学术振兴会;

关键词：

Algae; Comparative analysis; Database; Gene function; Protein properties; ARABIDOPSIS INFORMATION RESOURCE; REFERENCE SEQUENCES REFSEQ; GENOME REVEALS; EVOLUTIONARY CLASSIFICATION; DATA-BANK; PREDICTION; GENERATION; FEATURES; IDENTIFICATION; COEXPRESSION;

D O I：

10.1093/pcp/pcw212

中图分类号：

Q94 [植物学];

学科分类号：

071001 ;

摘要：

Algae are smaller organisms than land plants and offer clear advantages in research over terrestrial species in terms of rapid production, short generation time and varied commercial applications. Thus, studies investigating the practical development of effective algal production are important and will improve our understanding of both aquatic and terrestrial plants. In this study we estimated multiple physicochemical and secondary structural properties of protein sequences, the predicted presence of post-translational modification (PTM) sites, and subcellular localization using a total of 510,123 protein sequences from the proteomes of 31 algal and three plant species. Algal species were broadly selected from green and red algae, glaucophytes, oomycetes, diatoms and other microalgal groups. The results were deposited in the Algal Protein Annotation Suite database (Alga-PrAS; http://alga-pras.riken.jp/), which can be freely accessed online.

引用

页数：13

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