Abstract
Structures of biological complexes are crucial for triggering the discovery of new drugs and vaccines. Cryogenic electron microscopy (cryo-EM) is an emerging technique, that allows obtaining structures at near-atomic resolution. In this thesis a number of novel tools were developed for optimal and reliable analysis of large cryo-EM image datasets. The effectiveness of these methods was demonstrated by solving the structure of the giant worm hemoglobin complex at near-atomic resolution. The results will undoubtedly facilitate cryo-EM data processing and contribute to the development of new drugs and vaccines.
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