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REU Site: A Cyberlinked Program in Computational Biomolecular Structure & Design

REU Site: A Cyberlinked Program in Computational Biomolecular Structure & Design
REU 网站:计算生物分子结构的网络链接程序
批准号:
2244288
负责人:
Jeffrey Gray
金额:
$48.57万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-03-15 至 2026-02-28

项目摘要

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中文摘要
翻译
位于马里兰州巴尔的摩的约翰霍普金斯大学的REU网站奖将在2023年至2025年的每个夏天支持12名实习生的10周培训。研究是在罗塞塔共享位于美国和国外的各个实验室进行的。预计共有36名学生,主要来自研究机会有限的学校或代表性不足的群体,将在该方案中接受培训。学生将学习如何进行跨学科的合作研究,所有人都将在科学会议上展示他们的工作。完成REU课程后,学生将了解如何从结构的角度研究生物学问题;经验丰富的计算分子设计,包括人工智能方法;在生物化学,生物物理学,计算生物学,机器学习和分子工程的研究方法方面获得了坚实的基础;获得了与全球其他实验室的其他科学家和工程师合作的技能;并对这些领域的改进技术对社会的贡献有了更深的认识。该计划将使用在线SALG URSSA工具进行评估。 NSF ETAP系统将用于注册参与者(https://www.nsfetap.gov/)。学生将在课程结束后进行跟踪,以确定他们的职业道路。 该研究使用计算方法预测生物分子的结构(这是其行为和功能的基础)和新生物分子的设计(对材料,纳米技术和生物技术很重要)。示例研究项目包括“通过深度学习进行抗体工程”,“使用生成方法进行蛋白质设计”和“从头蛋白质的计算设计以控制生物信号传导”。该培训计划包括为期一周的训练营,学生在那里学习计算机编码和结构生物学,在分布式实验室(美国和国外)进行为期八周的研究,以及在年度罗塞塔会议上的最后一周。在研究期间,学生将在主机实验室的指导下完成一个独立的研究项目,参加每周的虚拟期刊俱乐部,准备研究提案,并准备在会议上展示的海报。所有参与者完成研究过程的负责任行为。REU的申请由一个招生委员会进行审查和选择,该委员会由罗塞塔公共资源的所有职业水平的成员组成。有关该计划的更多信息,请访问www.rosettacommons.org/intern,或联系PI(Jeffrey J. Gray博士,jgray@jhu.edu)或计划管理员(Camille马西斯女士,cmathis@jhu.edu)。该奖项反映了NSF的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
This REU Site award to Johns Hopkins University, located in Baltimore, MD, will support the training of 12 interns for 10 weeks during each summer from 2023 to 2025. Research is conducted in various labs of the Rosetta Commons located throughout the United States and abroad. It is anticipated that a total of 36 students, primarily from schools with limited research opportunities or from an under-represented group, will be trained in the program. Students will learn how interdisciplinary, collaborative research is conducted, and all will present their work at scientific conferences. Upon completion of the REU program, students will have gained an understanding of how to investigate biological problems from a structural perspective; experienced computational molecular design including artificial intelligence approaches; acquired a solid foundation in research methodologies in biochemistry, biophysics, computational biology, machine learning, and molecular engineering; gained skills to collaborate with other scientists and engineers in other laboratories globally; and gained a deeper appreciation for the contributions that improved technology in these areas can make to society. The program will be assessed using the online SALG URSSA tool. The NSF ETAP system will be used to register participants (https://www.nsfetap.gov/). Students will be tracked after the program to determine their career paths. The research uses computational methods for prediction of the structure of biomolecules (which underlies their behavior and function) and the design of new biomolecules (important for materials, nanotechnology, and biotechnology). Example research projects include “Antibody engineering by deep learning,” “Protein design using generative methods,” and “Computational design of de novo proteins to control biological signaling.” The training program consists of a one-week bootcamp where students learn computer coding and structural biology, eight weeks of research in distributed labs (across the US and abroad), and a final week together at the annual Rosetta Conference. During the research period, students will complete an independent research project under the mentorship of a host lab, participate in weekly virtual journal clubs, prepare research proposals, and prepare a poster for presentation at the conference. All participants complete the Responsible Conduct of Research course. REU applications are reviewed and chosen by an admissions committee consisting of Rosetta Commons members at all career levels. More information about the program is available by visiting www.rosettacommons.org/intern, or by contacting the PI (Dr. Jeffrey J. Gray at jgray@jhu.edu) or the program administrator (Ms. Camille Mathis at cmathis@jhu.edu).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.
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