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MoCeIS-DCL : Building a Network for Functional Annotation of Protein Families

MoCeIS-DCL：构建蛋白质家族功能注释网络

基本信息

批准号：
2129768
负责人：
Valerie de Crecy-Lagard
金额：
$ 9.89万
依托单位：
University of Florida
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2021
资助国家：
美国
起止时间：
2021-07-15 至 2023-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2129768&HistoricalAwards=false
关键词：
MoCeIS DCL Building Network Functional

项目摘要

The proposal is to support a conference to build a roadmap to break a major barrier limiting the capacity of the biological community at large to mine available genomic information. The two-day conference will be held in the Fall of 2021 in North Florida. The goals of the conference are to 1) create a diverse scientific community that can help build the framework, tools, guidelines and training that will allow the extraction of all available knowledge on all members of a protein family, 2) correctly link this knowledge to the iso-functional subgroups within the family, and 3) visualize the data in an intuitive and interactive fashion. The information in genomic sequences cannot be fully exploited until the functions of the predicted proteins are known. The experimentalists that obtain the information about protein function are not always aware of how their data are captured in databases and many of them do not actively contribute their expertise to help capture and curate this information. This conference will devise strategies that can educate biologists to make them an integral part of the functional data flow, in order to make biological data more explorable, sharable, and interoperable.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该提案旨在支持召开一次会议，以建立一个路线图，以打破限制整个生物界挖掘可用基因组信息能力的主要障碍。为期两天的会议将于2021年秋季在北佛罗里达州举行。会议的目标是：1)创建一个多样化的科学社区，帮助建立框架、工具、指南和培训，以便提取关于蛋白质家族所有成员的所有可用知识；2)将这些知识与家族内的同功能亚群正确地联系起来；3)以直观和互动的方式将数据可视化。在预测蛋白质的功能已知之前，基因组序列中的信息不能被充分利用。获得蛋白质功能信息的实验学家并不总是知道他们的数据是如何在数据库中被捕获的，而且他们中的许多人并不积极地贡献他们的专业知识来帮助捕获和管理这些信息。本次会议将制定策略，教育生物学家使其成为功能数据流的组成部分，以使生物数据更易于探索，共享和互操作。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。