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Teaches how to write peptide sequences correctly using a simple zigzag line method and emphasizes the importance of respecting stereochemistry to avoid mistakes.
Explores deciphering protein interaction fingerprints using geometric deep learning and the challenges in computational protein-protein interaction design.
Explores protein mass spectrometry, proteomics techniques, sample preparation, separation methods, quantitative workflows, bioinformatics, and applications in biology.
Explores fundamental principles in scientific research, the impact of computers, numerical algorithms, and deep learning in solving high-dimensional problems.
Explores tools and models for Next-Generation Sequencing data analysis, covering DNA sequencing technologies, data analysis pipelines, and statistical models.
Delves into enzyme inhibition, reversible and irreversible binding, and covalent drugs, exploring drug modes of action and their impact on drug efficacy.
