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Explores the principles and applications of Nuclear Magnetic Resonance, covering chemical structure elucidation, peak interpretation, and medical imaging.
Explores predicting protein structure from sequence data using maximum entropy modeling and discusses recent advancements in protein structure prediction.
Explores the energetic principles of molecular interactions in biomolecules, focusing on noncovalent interactions and the 3D structure of nucleic acids.
Explores predicting protein structure from sequence data and inferring interaction partners through Direct Coupling Analysis and the Iterative Pairing Algorithm.
Explores the selective promiscuity in binding of the E. coli Hsp70 chaperone to unfolded or misfolded protein substrates, examining its implications in protein folding mechanisms.
Teaches how to write peptide sequences correctly using a simple zigzag line method and emphasizes the importance of respecting stereochemistry to avoid mistakes.
Covers the basics of proteomics, mass spectrometry, protein synthesis, and amino acids, emphasizing the importance of molecular weight and isotopic abundance.
