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Covers the process of expressing and purifying proteins, including the importance of studying protein function, folding, interactions, sequence, and structure.
Explores deciphering protein interaction fingerprints using geometric deep learning and the challenges in computational protein-protein interaction design.
Explores predicting protein structure from sequence data using maximum entropy modeling and discusses recent advancements in protein structure prediction.
Explores enzymes' catalytic power, specificity, and classification based on reaction type, as well as the relationship between equilibrium constants and free energy changes.
Explores a unified framework for understanding and evaluating generative sequence models of DNA/RNA or Protein, covering topics like coevolution, conservation, and different models such as GREMLIN and BERT.
Explores biology fundamentals, proteins, lipids, and DNA as synthetic materials, covering cell structure, membrane composition, protein production, DNA structure, and tissue engineering.