The Minimum Information about a Molecular Interaction CAusal STatement (MI2CAST).
The Minimum Information about a Molecular Interaction CAusal STatement (MI2CAST).
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DOI：
10.1093/bioinformatics/btaa622
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发表时间：
2021-04-05
期刊：
影响因子：
--
通讯作者：
Kuiper M
中科院分区：
文献类型：
--
作者：
Touré V;Vercruysse S;Acencio ML;Lovering RC;Orchard S;Bradley G;Casals-Casas C;Chaouiya C;Del-Toro N;Flobak Å;Gaudet P;Hermjakob H;Hoyt CT;Licata L;Lægreid A;Mungall CJ;Niknejad A;Panni S;Perfetto L;Porras P;Pratt D;Saez-Rodriguez J;Thieffry D;Thomas PD;Türei D;Kuiper M
在细胞中的生物分子组分之间发生多种分子相互作用。当一种分子相互作用导致一种调节效应，由一种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。这些因果关系的相互作用和生物过程，它们使（如基因调控）需要描述与潜在的分子反应的仔细欣赏。对这些信息的适当描述使得人类能够进行归档、共享和重用，并用于自动计算处理。生物组分之间的因果关系的各种表示目前用于各种资源中。在这里，我们提出了一个清单，容纳当前的表示，称为最小信息的分子相互作用因果关系（MI2CAST）。该清单定义了所需的核心信息，以及对最终用户有价值且与重复使用和再现因果分子相互作用信息相关的一组全面的其他上下文细节。MI2CAST清单可用作注释和管理因果陈述时的报告指南，同时促进跨资源数据的一致性和互操作性。该清单连同示例可在https://github.com/MI2CAST/MI2CAST上获得补充数据可在生物信息学在线上获得。
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. Here, we propose a checklist that accommodates current representations, called the Minimum Information about a Molecular Interaction CAusal STatement (MI2CAST). This checklist defines both the required core information, as well as a comprehensive set of other contextual details valuable to the end user and relevant for reusing and reproducing causal molecular interaction information. The MI2CAST checklist can be used as reporting guidelines when annotating and curating causal statements, while fostering uniformity and interoperability of the data across resources. The checklist together with examples is accessible at https://github.com/MI2CAST/MI2CAST Supplementary data are available at Bioinformatics online.
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影响因子：
--
作者：
Fazekas D;Koltai M;Türei D;Módos D;Pálfy M;Dúl Z;Zsákai L;Szalay-Bekő M;Lenti K;Farkas IJ;Vellai T;Csermely P;Korcsmáros T
通讯作者：
Korcsmáros T
影响因子：
14.9
作者：
The Gene Ontology Consortium
通讯作者：
The Gene Ontology Consortium
影响因子：
14.9
作者：
Federhen S
通讯作者：
Federhen S
影响因子：
4.9
作者：
Cooper L;Walls RL;Elser J;Gandolfo MA;Stevenson DW;Smith B;Preece J;Athreya B;Mungall CJ;Rensing S;Hiss M;Lang D;Reski R;Berardini TZ;Li D;Huala E;Schaeffer M;Menda N;Arnaud E;Shrestha R;Yamazaki Y;Jaiswal P
通讯作者：
Jaiswal P
影响因子：
5.8
作者：
Chindelevitch, Leonid;Ziemek, Daniel;Huang, Enoch S.
通讯作者：
Huang, Enoch S.