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Cryo-electron microscopy (Cryo-EM) is a powerful and increasingly important technique in structural biology, allowing scientists to visualize the intricate details of biomolecules at near-atomic resolution. CryoEM generates vast amounts of data, requiring sophisticated computational tools and significant processing power to reconstruct high-resolution structures from the collected images.

Continuing on a theme from their July 2024 webinar, which discussed sample preparation, the speakers have designed their NEW webinar to focus on data processing of cryo-EM data. Using cryoSPARC, the speakers will explain how to preprocess data, pick particles, classify them in 2D and 3D, and how to deal with flexible parts or components.

Following, the speakers will show 3D structure modeling tools for map resolution up to about 5 A as well as an advanced structure fitting method that works for up to about 10 A. Their webinar will also discuss how to validate the accuracy of structure model from cryo-EM maps.

This webinar will address:

• Guidance on image alignment, particle picking, and three-dimensional reconstruction
• Generating 3D CryoEM density maps
• Atomic modeling made easy: A series of new tools to enhance the process. See https://em.kiharalab.org/

Speakers

Thomas Klose, PhD, Technical Director, Cryo-EM Facility. Purdue University

Daisuke Kihara, PhD, Professor, Department of Biological Sciences/Computer Science, Purdue University

Thomas Klose holds a Diploma and a PhD in Biochemistry from the University of Halle-Wittenberg, where he also completed a postdoctoral fellowship in Genetics. Following this, he pursued further postdoctoral research in Structural Virology at Purdue University under the guidance of Michael Rossmann, eventually becoming a Research Scientist in the same field. He now serves as the Technical Director of the Purdue Cryo-EM Facility. With over a decade of experience in cryo-EM techniques and more than 70 publications, many of which are collaborative works related to cryo-EM, he has established a robust background in this area of research.

Daisuke Kihara is a full professor in the Department of Biological Sciences and the Department of Computer Science at Purdue University, West Lafayette, Indiana, USA. He received a B.S. degree from the University of Tokyo, Japan in 1994 and a Ph.D. degree from Kyoto University, Japan in 1999. After studying as a postdoctoral researcher, he joined Purdue University in 2003 and was promoted to full professor in 2014. He has been working on algorithm and software development in broad topics in protein bioinformatics including molecular structure modeling from cryo-electron microscopy maps, protein-protein docking, protein tertiary structure prediction, protein function prediction, and computational drug design. He has published over 230 research articles. He was named a University Faculty Scholar by Purdue University in 2013. In 2021, he was elected as an AIMBE (The American Institute for Medical and Biological Engineering) Fellow.