Continuing Education for Structural Biology Mentors

项目摘要/摘要 使用一种化合物，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%，这有可能推动 对未来劳动力的巨大需求。而先进的低温技术的意义在于-- EM数据处理以改进和加速治疗疾病的药物发现正在推动创新和 经济增长和制药行业正在发生的事情，许多结构生物学研究人员和准 调查人员在没有加强研究培训的情况下被发现使用快速发展和复杂的 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 为社会服务的药物发现。代表不足的少数群体(URM)在前沿生物医学研究中的代表性 预计字段不会高于2019年NSF调查中报告的数字，该调查显示URM为 学术博士队伍的比例为8.9%，或2021年AAMC的一份报告发现URM的多样性 在美国学术医学院校中，学术领袖的比例约为5.8%。尤其是高昂的成本 与低温电磁研究相关的研究对像少数族裔服务这样的较小机构来说是一个重大障碍 学校(MSI)和历史上的黑人学院和大学(HBCU)培训他们的学生 以结构生物学为基础的未来生物医学事业。 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 HBCU旗下的Meharry医学院将延长他们现有的合作伙伴关系，以提高多样性并提供 在整个社区为结构生物学研究人员提供增强的研究培训计划 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劳动力的职业生涯中保持领先地位和生产力的实践。 此外，该方案的设计不仅是为了向主要调查员参与者提供培训，而且还 通过为他们提供基于证据的集成数据设备来提高可持续性和可扩展性 一种结构生物学科学训练模式及配套训练方案教材体系 具有训练数据集、结构生物学数据分析和可视化软件的集合，以及 具有可在家中使用的支持资源的可持续培训和计算环境 为实验室成员和学生提供持续教育和纵向指导的机构 他们正在追求结构生物学领域的下一代生物医学事业。

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.