当前位置: X-MOL 学术Bioinformatics › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
The Minimum Information about a Molecular Interaction Causal Statement (MI2CAST).
Bioinformatics ( IF 4.4 ) Pub Date : 2020-07-08 , DOI: 10.1093/bioinformatics/btaa622
Vasundra Touré 1 , Steven Vercruysse 1 , Marcio Luis Acencio 2 , Ruth C Lovering 3 , Sandra Orchard 4 , Glyn Bradley 5 , Cristina Casals-Casas 6 , Claudine Chaouiya 7 , Noemi Del-Toro 4 , Åsmund Flobak 2, 8 , Pascale Gaudet 9 , Henning Hermjakob 4 , Charles Tapley Hoyt 10 , Luana Licata 11 , Astrid Lægreid 2 , Christopher J Mungall 12 , Anne Niknejad 13 , Simona Panni 14 , Livia Perfetto 4 , Pablo Porras 4 , Dexter Pratt 15 , Julio Saez-Rodriguez 16, 17 , Denis Thieffry 18 , Paul D Thomas 19 , Dénes Türei 17 , Martin Kuiper 1
Affiliation  

A large variety of molecular interactions occurs between biomolecular components in cells. When a molecular interaction results in a regulatory effect, exerted by one component onto a downstream component, a so-called ‘causal interaction’ takes place. Causal interactions constitute the building blocks in our understanding of larger regulatory networks in cells. These causal interactions and the biological processes they enable (e.g., gene regulation) need to be described with a careful appreciation of the underlying molecular reactions. A proper description of this information enables archiving, sharing, and reuse by humans and for automated computational processing. Various representations of causal relationships between biological components are currently used in a variety of resources.

中文翻译:

有关分子相互作用因果关系陈述的最低信息 (MI2CAST)。

细胞中的生物分子成分之间发生多种分子相互作用。当分子相互作用导致调节效应,由一个组分施加到下游组分上时,就会发生所谓的“因果相互作用”。因果相互作用构成了我们理解细胞中更大的调控网络的基石。这些因果相互作用和它们所促成的生物过程(例如基因调控)需要在仔细理解潜在的分子反应的情况下进行描述。对这些信息的正确描述使得人类能够存档、共享和重用以及自动计算处理。目前,各种资源中都使用了生物成分之间因果关系的各种表示形式。
更新日期:2020-07-08
down
wechat
bug