Continuing Education for Structural Biology Mentors

结构生物学导师的继续教育

• 批准号: 10724763
• 负责人: Jamaine S Davis
• 金额: $ 45.29万
• 依托单位: HARVARD MEDICAL SCHOOL
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-03 至 2028-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10724763
• 关键词: Acceleration; Address; American; Automobile Driving; Biomedical Research; Boston; Collection; Communities; Computational Technique; Computer software; Continuing Education; Cryo-electron tomography; Cryoelectron Microscopy; Data; Data Analyses; Data Science; Data Set; Disease; Documentation; Economics; Environment; Faculty; Future; Growth; High Performance Computing; Historically Black Colleges and Universities; Home; Individual; Industry; Infrastructure; Institution; Knowledge; Knowledge acquisition; Laboratories; Leadership; Marketing; Measures; Mentors; Minority-Serving Institution; Modeling; Outcome; Participant; Persons; Phase; Principal Investigator; Productivity; Reporting; Research; Research Personnel; Research Training; Resources; Series; Societies; Structural Biologist; Structure; Students; Surveys; System; Techniques; Training; Training Activity; Training Programs; Travel; Underrepresented Minority; Universities; Visualization software; X-Ray Crystallography; academic program; career; cohort; computerized data processing; computerized tools; computing resources; cost; data exchange; data integration; data visualization; deep learning; design; drug discovery; evidence base; improved; innovation; medical schools; member; molecular modeling; next generation; novel; online community; peer; peer coaching; portability; process optimization; programs; skill acquisition; skills; structural biology; support network; tomography; tool; undergraduate student

PROJECT SUMMARY/ABSTRACT The structural biology and molecular modeling market is expected to reach USD 18.1 Billion with a Compound Annual Growth Rate (CAGR) of 17.1% during the forecast period of 2022-2028 which has the potential to drive substantial demand for a workforce of the future. While the significance of advancement in cutting-edge Cryo- EM data processing to improve and accelerate drug discovery to treat diseases is driving innovation and economic growth and happening in the pharma industry, many structural biology investigators and would-be investigators are caught without the enhanced research training to use rapidly evolving and sophisticated computational tools, including AI and deep learning tools, proficiently to help the pharma industry accelerate drug discovery for society. Underrepresented minority (URM) representation in cutting-edge biomedical research fields is not expected to be higher than what was reported in a 2019 NSF survey, which showed URM as a percentage of the academic doctoral workforce at 8.9%, or a 2021 AAMC report which found diversity for URM at academic leadership ranks in American academic medical colleges at about 5.8%. In particular, the high costs associated with Cryo-EM research present a significant barrier for smaller institutions like Minority Serving Institutions (MSIs) and Historically Black Colleges and Universities (HBCUs) to train their students for the structural biology-based biomedical career of the future. To address these challenges, the Structural Biology Grid (SBGrid) Consortium at Harvard Medical School and Meharry Medical College, an HBCU, will extend their existing partnership to improve diversity and deliver an enhanced research training program across the entire community for structural biology investigators on the current Cryo-EM data processing workflow that includes AI components, necessary skills, knowledge, and best practices to help them stay on top and be productive in their careers in the biomedical research workforce. Additionally, the program is designed not just to impart training for the principal investigator participants but also to increase sustainability and scalability by enabling them with an evidence-based, integrated gear of data science training model and system for structural biology comprising a complete set of training program material with training datasets, a collection of structural biology data analysis and visualization software, and a sustainable training and computing environment with supporting resources that they could use in their home institutions to provide continuing education and longitudinal mentoring to their laboratory members and students who are pursuing next-generation biomedical careers in structural biology.

项目概要/摘要 化合物的结构生物学和分子建模市场预计将达到 181 亿美元 2022-2028 年预测期内年增长率 (CAGR) 为 17.1%，有潜力推动 对未来劳动力的巨大需求。虽然尖端冷冻技术进步的意义重大， 用于改善和加速治疗疾病的药物发现的电磁数据处理正在推动创新和 经济增长和制药行业的发展，许多结构生物学研究人员和未来的研究人员 研究人员没有接受过强化研究培训，无法使用快速发展和复杂的技术 计算工具，包括人工智能和深度学习工具，熟练地帮助制药行业加速 为社会发现药物。前沿生物医学研究中代表性不足的少数群体 (URM) 的代表性 预计字段不会高于 2019 年 NSF 调查中报告的数据，该调查显示 URM 作为 学术博士队伍的比例为 8.9%，或 2021 年 AAMC 报告发现 URM 的多样性 美国学术医学院的学术领导力排名约为 5.8%。尤其是成本高 与冷冻电镜研究相关的研究对少数民族服务等小型机构构成了重大障碍 机构 (MSI) 和传统黑人学院和大学 (HBCU) 为学生提供培训 基于结构生物学的未来生物医学职业。 为了应对这些挑战，哈佛医学院的结构生物学网格 (SBGrid) 联盟和 梅哈里医学院 (Meharry Medical College) 是一家 HBCU，将扩大现有的合作伙伴关系，以提高多样性并提供 加强整个社区的结构生物学研究人员的研究培训计划 当前的 Cryo-EM 数据处理工作流程，包括 AI 组件、必要的技能、知识和最佳 帮助他们在生物医学研究队伍中保持领先地位并在职业生涯中富有成效的实践。 此外，该计划的目的不仅是为主要研究者参与者提供培训，而且还 通过为他们提供基于证据的集成数据装备来提高可持续性和可扩展性 结构生物学科学训练模型和系统，包含全套训练计划材料 包含训练数据集、结构生物学数据分析和可视化软件的集合，以及 可持续的培训和计算环境以及他们可以在家中使用的支持资源 机构为其实验室成员和学生提供继续教育和纵向指导 他们正在结构生物学领域追求下一代生物医学职业。