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

约翰霍普金斯大学将获得EAGER奖，以测试使用虚拟技术进行协作的分布式学生培训模式的有效性。该基金将在2015- 2016年夏季为8名学生提供为期10周的培训。学生将接受生物分子结构和设计方面的培训，使用Rosetta软件。学生们在第一周参加一个新兵训练营，学习如何使用该软件，包括使用Python和c++语言。然后，学生们去指定的实验室进行化学、生物学、计算机科学和工程学交叉领域的研究。在第十周，学生们聚集在一起展示他们的成果并交换意见。在10周结束时，学生将学会如何进行研究，并将在科学会议上展示他们的工作成果。在完成课程后，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，并且他们将学会使用Rosetta软件。培训效果的评估将通过SALG URSSA调查工具进行（可在线访问www.bioreu.org）。导师来自Rosetta Commons网络，学生可以选择各种各样的项目，比如设计可以在微生物中产生燃料的蛋白质，编写疫苗设计算法，开发异常细胞中蛋白质糖基化模型等等。学生参加每周安排的虚拟研讨会/工作坊，他们每天通过Skype、b谷歌聊天等虚拟技术与学生互动。包括道德和负责任的研究行为方面的培训，以及接触STEM的各种职业。课程结束后，学生将通过NSF报告系统发送的自动电子邮件进行跟踪。欲了解更多信息，请访问http://rosettacommons.org/intern，或联系PI （Jeffrey Gray博士jgray@jhu.edu）或项目经理（Gregg Nass gnass@jhu.edu）。该奖项由生物科学理事会（BIO）的生物基础设施司（DBI）、计算机和信息科学与工程理事会（CISE）的高级网络基础设施司（ACI）以及数学和物理科学理事会（MPS）的化学司（CHE）提供支持。

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 jgray@jhu.edu) or the Program Manager (Gregg Nass at gnass@jhu.edu). 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).