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致力于在 FlyBase 中全面注释黑腹果蝇的酶。

Towards comprehensive annotation of Drosophila melanogaster enzymes in FlyBase.

机构信息

Department of Physiology, Development and Neuroscience, University of Cambridge, Downing Street, Cambridge, CB2 3DY, UK.

出版信息

Database (Oxford). 2019 Jan 1;2019:bay144. doi: 10.1093/database/bay144.

Abstract

The catalytic activities of enzymes can be described using Gene Ontology (GO) terms and Enzyme Commission (EC) numbers. These annotations are available from numerous biological databases and are routinely accessed by researchers and bioinformaticians to direct their work. However, enzyme data may not be congruent between different resources, while the origin, quality and genomic coverage of these data within any one resource are often unclear. GO/EC annotations are assigned either manually by expert curators or inferred computationally, and there is potential for errors in both types of annotation. If such errors remain unchecked, false positive annotations may be propagated across multiple resources, significantly degrading the quality and usefulness of these data. Similarly, the absence of annotations (false negatives) from any one resource can lead to incorrect inferences or conclusions. We are systematically reviewing and enhancing the functional annotation of the enzymes of Drosophila melanogaster, focusing on improvements within the FlyBase (www.flybase.org) database. We have reviewed four major enzyme groups to date: oxidoreductases, lyases, isomerases and ligases. Herein, we describe our review workflow, the improvement in the quality and coverage of enzyme annotations within FlyBase and the wider impact of our work on other related databases.

摘要

酶的催化活性可以用基因本体论 (GO) 术语和酶委员会 (EC) 编号来描述。这些注释可从众多生物数据库中获得,研究人员和生物信息学家经常访问这些数据库来指导他们的工作。然而,不同资源之间的酶数据可能不一致,而任何一个资源中这些数据的来源、质量和基因组覆盖范围通常也不清楚。GO/EC 注释要么由专家注释员手动分配,要么通过计算推断得出,这两种注释都可能存在错误。如果这些错误没有得到检查,错误的阳性注释可能会在多个资源中传播,从而显著降低这些数据的质量和有用性。同样,如果任何一个资源中没有注释(假阴性),也可能导致不正确的推断或结论。我们正在系统地审查和增强黑腹果蝇酶的功能注释,重点是改进 FlyBase(www.flybase.org)数据库中的注释。迄今为止,我们已经审查了四个主要的酶类:氧化还原酶、裂解酶、异构酶和连接酶。在此,我们描述了我们的审查工作流程,FlyBase 中酶注释的质量和覆盖范围的提高,以及我们的工作对其他相关数据库的广泛影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d60/6343044/e3d3ee216406/bay144f1.jpg

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