Continuing Education for Structural Biology Mentors

项目概要/摘要 结构生物学和分子建模市场预计将达到181亿美元， 在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。虽然先进的尖端低温技术的重要性， EM数据处理，以改善和加速药物发现治疗疾病正在推动创新， 经济增长和制药行业的发展，许多结构生物学研究人员和潜在的 调查人员没有经过强化的研究培训，无法使用快速发展和复杂的 包括人工智能和深度学习工具在内的计算工具，帮助制药行业加快 为社会发现药物在尖端生物医学研究中代表性不足的少数民族（URM） 预计不会高于2019年NSF调查报告的数据，该调查显示URM是一个 学术博士生劳动力的比例为8.9%，或者2021年AAMC报告发现URM的多样性 在美国学术医学院校中，学术领导力排名约为5.8%。特别是高成本 与Cryo-EM研究相关的研究对像少数民族服务这样的小型机构来说是一个重大障碍 机构（MSI）和历史上的黑人学院和大学（HBCU），以培养他们的学生， 结构生物学为基础的生物医学事业的未来。 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，HBCU，将扩大他们现有的合作伙伴关系，以提高多样性，并提供一个 加强研究培训计划在整个社会的结构生物学研究人员对 当前的Cryo-EM数据处理工作流程，包括AI组件，必要的技能，知识和最佳的 实践，以帮助他们留在顶部，并在他们的职业生涯中的生物医学研究劳动力的生产力。 此外，该计划的目的不仅是为主要研究者的参与者传授培训， 通过提供基于证据的综合数据，提高可持续性和可扩展性 包括一整套训练计划材料的结构生物学科学训练模型和系统 与训练数据集，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 院校为实验室成员和学生提供持续教育和纵向指导 他们在结构生物学领域追求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.