EAGER: A New Model for Undergraduate Training: a Virtual Community of Researchers in Computational Biomolecular Structure & Design

EAGER：本科生培训新模式：计算生物分子结构研究人员的虚拟社区

• 批准号: 1541278
• 负责人: Jeffrey Gray
• 金额: $ 20.77万
• 依托单位: Johns Hopkins University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-05-15 至 2017-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1541278&HistoricalAwards=false
• 关键词: EAGER; New; Model; Undergraduate; Training

This EAGER award to Johns Hopkins University will test the efficacy of a distributed model of student training that uses virtual technologies for collaboration. The grant will support the training of 8 students for 10 weeks during the summers of 2015- 2016. Students will be trained in biomolecular structure and design, using the Rosetta software. Students attend a boot camp in Week 1 to learn how to use the software, including use of Python and C++ languages. Students then go to an assigned lab where they do research at the intersection of chemistry, biology, computer science and engineering. In Week 10, the students gather for presentation of their results and to exchange ideas. At the end of 10 weeks, students will have learned how research is conducted and will have presented the results of their work at a scientific conference. Upon completing the program, the students will have a greater understanding of research in the area of computational biomolecular design and structure prediction, and they will have learned the use of the Rosetta software. Assessment of the effectiveness of the training will be done thru the SALG URSSA survey instrument (available online at www.bioreu.org). Mentors come from the Rosetta Commons network, and students can choose from a variety of projects such as designing proteins that can produce fuels in microbes, writing algorithms for vaccine design, developing models of protein glycosylation in abnormal cells, and others. Students participate in virtual seminars/workshops scheduled every week, and they interact daily with students thru virtual technologies such as Skype, Google chat, etc. Training in ethics and the responsible conduct of research is included as well as exposure to various careers in STEM. Students will be tracked after the program thru an automatic email sent via the NSF reporting system. More information is available by visiting http://rosettacommons.org/intern, or by contacting the PI (Dr. Jeffrey Gray at [e-mail]) or the Program Manager (Gregg Nass at [e-mail]). This award is supported by the Division of Biological Infrastructure (DBI) in the Directorate for Biological Sciences (BIO), the Division of Advanced Cyberinfrastructure (ACI) in the Directorate for Computer and Information Science & Engineering (CISE), and the Division of Chemistry (CHE) in the Directorate for Mathematical and Physical Sciences (MPS).

这项渴望获得约翰霍普金斯大学的奖项将测试使用虚拟技术进行协作的分布式学生培训模型的功效。该赠款将在2015年至2016年的夏季在10周内支持8名学生的培训。学生将使用Rosetta软件对学生进行生物分子结构和设计培训。学生在第1周参加新兵训练营，以学习如何使用该软件，包括使用Python和C ++语言。然后，学生去了一个分配的实验室，他们在化学，生物学，计算机科学和工程学的交集进行研究。在第10周，学生会聚集以呈现结果并交换想法。在10周结束时，学生将了解如何进行研究，并将在科学会议上介绍他们的工作结果。完成该计划后，学生将对计算生物分子设计和结构预测领域的研究有更深入的了解，他们将了解Rosetta软件的使用。评估培训的有效性将通过SALG URSSA调查工具进行（请访问www.bioreu.org）。导师来自Rosetta Commons网络，学生可以从各种项目中进行选择，例如设计可以在微生物中生产燃料的蛋白质，为疫苗设计编写算法，开发异常细胞中蛋白质糖基化的模型，以及其他。学生参加每周安排的虚拟研讨会/研讨会，他们每天通过Skype，Google聊天等虚拟技术与学生进行互动。伦理学培训和负责任的研究进行培训，并接触STEM中各种职业。通过通过NSF报告系统发送的自动电子邮件，将对学生进行跟踪。 访问http://rosettacommons.org/intern，或通过与PI联系（[e-mail]）或计划经理（[e-mail]的Gregg nass），可以通过访问http://rosettacommons.org/intern获得更多信息。该奖项得到了生物学科学局（BEIO）的生物基础设施司（DBI）的支持，在计算机和信息科学与工程局（CISE）局（CISE）的高级网络基础设施（ACI）和化学局（CHE）的数学和物理科学局（CHE）（CHE）（CHE）。

项目成果

Massively parallel, computationally guided design of a proenzyme.

• DOI: 10.1073/pnas.2116097119
• 发表时间: 2022-04-12
• 期刊: Proceedings of the National Academy of Sciences of the United States of America
• 影响因子: 11.1

An Automated Data-Driven Pipeline for Improving Heterologous Enzyme Expression

用于改善异源酶表达的自动化数据驱动管道

• DOI: 10.1021/acssynbio.8b00486
• 发表时间: 2019
• 期刊: ACS Synthetic Biology
• 影响因子: 4.7
• 作者: Wrenbeck, Emily E.;Bedewitz, Matthew A.;Klesmith, Justin R.;Noshin, Syeda;Barry, Cornelius S.;Whitehead, Timothy A.
• 通讯作者: Whitehead, Timothy A.