Explores deciphering protein interaction fingerprints using geometric deep learning and the challenges in computational protein-protein interaction design.
Teaches how to write peptide sequences correctly using a simple zigzag line method and emphasizes the importance of respecting stereochemistry to avoid mistakes.
Delves into strategies for transferring bio-material onto electrodes, emphasizing hydrophobic interactions and the use of nanotechnology to enhance biosensor sensitivity.
Covers the basics of proteomics, mass spectrometry, protein synthesis, and amino acids, emphasizing the importance of molecular weight and isotopic abundance.
Explores predicting protein structure from sequence data and inferring interaction partners through Direct Coupling Analysis and the Iterative Pairing Algorithm.
