Explores deciphering protein interaction fingerprints using geometric deep learning and the challenges in computational protein-protein interaction design.
Covers proteomics techniques and their applications in neuroscience, focusing on mass spectrometry and the challenges of studying proteins in cellular functions.
Covers the basics of proteomics, mass spectrometry, protein synthesis, and amino acids, emphasizing the importance of molecular weight and isotopic abundance.
Explores protein structure, properties, and analysis techniques, emphasizing the importance of understanding protein charge and interpreting UV and CD spectra.
