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Explores the significance of randomization in protein mass spectrometry and proteomics, highlighting its role in minimizing bias and ensuring research validity.
Explores the impact of machine learning in understanding human diseases, focusing on historical significance, natural products discovery, and challenges in designer drugs.
Explains chromatography principles for protein purification, covering peak broadening causes, band broadening components, and common stationary phases.
Explores liquid chromatography principles, various chromatographic techniques, HPLC components, and the comparison between off-gel IEF and SCX chromatography.
