Explores the energetic principles of molecular interactions in biomolecules, focusing on noncovalent interactions and the 3D structure of nucleic acids.
Covers challenges in protein design, energy functions, search algorithms, and applications in synthetic biology, emphasizing the importance of protein design and the methods used for designing proteins.
Explores predicting protein structure from sequence data and inferring interaction partners through Direct Coupling Analysis and the Iterative Pairing Algorithm.
Delves into protein folding principles, emphasizing sequence's role in determining structure and exploring thermodynamics and intermolecular interactions.
Explores predicting protein structure from sequence data using maximum entropy modeling and discusses recent advancements in protein structure prediction.
Explores protein structure, properties, and analysis techniques, emphasizing the importance of understanding protein charge and interpreting UV and CD spectra.
