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AI METHODS FOR RECONSTRUCTING PROTEIN COMPLEX STRUCTURES FROM CRYO-EM DATA AND PREDICTING MUTATED PROTEIN STRUCTURES - PROJECT SUMMARY WITH RECENT ADVANCEMENTS IN ARTIFICIAL INTELLIGENCE (AI) SUCH AS ALPHAFOLD, WHICH HAV

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AI METHODS FOR RECONSTRUCTING PROTEIN COMPLEX STRUCTURES FROM CRYO-EM DATA AND PREDICTING MUTATED PROTEIN STRUCTURES - PROJECT SUMMARY WITH RECENT ADVANCEMENTS IN ARTIFICIAL INTELLIGENCE (AI) SUCH AS ALPHAFOLD, WHICH HAVE ENABLED HIGH-ACCURACY PREDICTION OF PROTEIN TERTIARY STRUCTURES, ACCURATELY DETERMINING THE QUATERNARY STRUCTURES OF LARGE PROTEIN COMPLEXES FROM CRYO-ELECTRON MICROSCOPY (CRYO-EM) DATA AND PREDICTING THE STRUCTURES OF PROTEIN MUTANTS ARE EMERGING AS KEY CHALLENGES IN STRUCTURAL BIOINFORMATICS. BUILDING ON THE PI’S EXTENSIVE EXPERTISE AND EXPERIENCE OF DEVELOPING MACHINE LEAR

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