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复杂门户2025:预测的人类复合物以及用于直系同源和旁系同源复合物比较的增强可视化工具。

Complex portal 2025: predicted human complexes and enhanced visualisation tools for the comparison of orthologous and paralogous complexes.

作者信息

Balu Sucharitha, Huget Susie, Medina Reyes Juan Jose, Ragueneau Eliot, Panneerselvam Kalpana, Fischer Samantha N, Claussen Erin R, Kourtis Savvas, Combe Colin W, Meldal Birgit H M, Perfetto Livia, Rappsilber Juri, Kustatscher Georg, Drew Kevin, Orchard Sandra, Hermjakob Henning

机构信息

European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.

Department of Biological Sciences, University of Illinois at Chicago, Chicago, IL 60607, USA.

出版信息

Nucleic Acids Res. 2025 Jan 6;53(D1):D644-D650. doi: 10.1093/nar/gkae1085.

DOI:10.1093/nar/gkae1085
PMID:39558156
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11701666/
Abstract

The Complex Portal (www.ebi.ac.uk/complexportal) is a manually curated reference database for molecular complexes. It is a unifying web resource linking aggregated data on composition, topology and the function of macromolecular complexes from 28 species. In addition to significantly extending the number of manually curated complexes, we have massively extended the coverage of the human complexome through the incorporation of high confidence assemblies predicted by machine-learning algorithms trained on large-scale experimental data. The current content of the portal comprising 2150 human complexes has been augmented by 14 964 machine-learning (ML) predicted complexes from hu.MAP3.0. We have refactored the website to enable easy search and filtering of these different classes of protein complexes and have implemented the Complex Navigator, a visualisation tool to facilitate comparison of related complexes in the context of orthology or paralogy. We have embedded the Rhea reaction visualisation tool into the website to enable users to view the catalytic activity of enzyme complexes.

摘要

复合物门户(www.ebi.ac.uk/complexportal)是一个经人工整理的分子复合物参考数据库。它是一个统一的网络资源,链接了来自28个物种的关于大分子复合物组成、拓扑结构和功能的汇总数据。除了显著增加人工整理的复合物数量外,我们还通过纳入基于大规模实验数据训练的机器学习算法预测的高可信度组装体,大幅扩展了人类复合物组的覆盖范围。该门户目前包含2150个人类复合物的内容,已通过来自hu.MAP3.0的14964个机器学习(ML)预测复合物得到扩充。我们对网站进行了重构,以便能够轻松搜索和筛选这些不同类别的蛋白质复合物,并实现了复合物导航器,这是一种可视化工具,便于在直系同源或旁系同源的背景下比较相关复合物。我们已将Rhea反应可视化工具嵌入网站,以便用户查看酶复合物的催化活性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5338/11701666/b5be53c61f16/gkae1085fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5338/11701666/7a963831614a/gkae1085figgra1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5338/11701666/51c094c3184f/gkae1085fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5338/11701666/71c0ecdffe63/gkae1085fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5338/11701666/310feefbad62/gkae1085fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5338/11701666/b5be53c61f16/gkae1085fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5338/11701666/7a963831614a/gkae1085figgra1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5338/11701666/51c094c3184f/gkae1085fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5338/11701666/71c0ecdffe63/gkae1085fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5338/11701666/310feefbad62/gkae1085fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5338/11701666/b5be53c61f16/gkae1085fig4.jpg

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