Glynn Calina, Rodriguez Jose A
Department of Chemistry and Biochemistry, UCLA-DOE Institute for Genomics and Proteomics, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, U.S.A.
Emerg Top Life Sci. 2019 Aug 16;3(4):423-432. doi: 10.1042/ETLS20180177.
Structural biology is in the midst of a revolution fueled by faster and more powerful instruments capable of delivering orders of magnitude more data than their predecessors. This increased pace in data gathering introduces new experimental and computational challenges, frustrating real-time processing and interpretation of data and requiring long-term solutions for data archival and retrieval. This combination of challenges and opportunities is driving the exploration of new areas of structural biology, including studies of macromolecular dynamics and the investigation of molecular ensembles in search of a better understanding of conformational landscapes. The next generation of instruments promises to yield even greater data rates, requiring a concerted effort by institutions, centers and individuals to extract meaning from every bit and make data accessible to the community at large, facilitating data mining efforts by individuals or groups as analysis tools improve.
结构生物学正处于一场变革之中，这场变革由更快、更强大的仪器推动，这些仪器能够提供比其前身多几个数量级的数据。数据收集速度的加快带来了新的实验和计算挑战，使数据的实时处理和解释变得困难，并需要长期的数据存档和检索解决方案。这些挑战与机遇的结合推动了结构生物学新领域的探索，包括对大分子动力学的研究以及对分子集合体的研究，以求更好地理解构象景观。下一代仪器有望产生更高的数据速率，这需要机构、中心和个人共同努力，从每一个数据中提取意义，并使整个科学界都能获取数据，随着分析工具的改进，便于个人或团体进行数据挖掘工作。
