C.7

This detailed and high-yield biochemistry note covers all major aspects of lipids and membranes, including their structural, functional, and pathological roles. Ideal for students in biomedical sciences, biochemistry, and medicine, especially during metabolism or cell biology modules. Topics Covered: 1. Lipid Classes & Structure Fatty acids (saturated vs. unsaturated) Glycerolipids & glycerophospholipids Sphingolipids (e.g., ceramide, sphingosine-1-phosphate) Sterols like choles...

This in-depth and application-rich guide covers how protein structures are predicted, how mutations alter structure and function, and how this knowledge supports drug discovery. Ideal for students of biochemistry, molecular biology, pharmaceutical sciences, and bioinformatics. Topics Covered: Protein Structure Prediction Homology modeling (fold recognition, alignment, model building & refinement) Ab initio (de novo) modeling: ROSETTA, energy minimization, fragment assembly Model acc...

This in-depth guide explores protein domains and the CATH classification system, combining structural biology with evolutionary insight. It’s perfect for students of biochemistry, molecular biology, structural bioinformatics, and computational biology. Included Topics: Protein Domains Independent folding units Functional modularity across proteins Multi-domain proteins and structural organization CATH Classification System Class: Mainly Alpha, Mainly Beta, Mixed Alpha-Be...

This comprehensive and well-structured guide explains how protein function and evolutionary relationships are determined through bioinformatics tools and structural analysis. Ideal for students of biochemistry, bioinformatics, molecular biology, and medical genetics. What’s Included: Homology-Based Annotation – Predicting protein function using sequence similarity (e.g., BLAST) Gene Ontology (GO) – Understanding function, process, and cellular localization UniProt – Using exp...

This complete biochemistry and bioinformatics guide explores the relationship between protein structure, evolutionary homology, and function prediction. It’s designed for students of biochemistry, molecular biology, genetics, and bioinformatics, and includes structural concepts, alignment strategies, and evolutionary applications. Topics Covered: Protein Domains: Modular design, independent folding, Pfam & SMART databases Membrane Proteins: Transmembrane regions, hydrophobic interacti...

This comprehensive and high-yield biochemistry guide covers all major aspects of protein structure and function, making it ideal for medical, biology, and biochemistry students. From the basics of amino acids to disease-causing mutations, this note is both exam-ready and clinically relevant. Topics Covered: 4 levels of protein structure: primary, secondary, tertiary, quaternary Hemoglobin vs. Myoglobin: oxygen binding, cooperativity, Bohr effect Folding mechanisms, hydrophobic effect...

This is a complete, high-yield summary of the HarvardX Data Science for Business course, neatly organized by module and filled with real case studies, code examples in R, and actionable business applications. Perfect for students, analysts, and professionals looking to strengthen their data science thinking and business insight. Modules Covered: The Data Science Shift – Problem framing, data wrangling, visualization, and hypothesis development Data Wrangling – Handling missing data,...

This advanced study guide explains how electron transport chain (ETC) inhibitors, uncouplers, and experimental assays reveal mitochondrial function. Ideal for students in biochemistry, pharmacology, molecular biology, or biomedical research. Includes: Functions of ETC complexes I–V and how they work together in oxidative phosphorylation Inhibitors (rotenone, antimycin A, cyanide, oligomycin): what they block, how, and why it matters Uncouplers (DNP, FCCP) and how they separate elec...

This comprehensive document explores the structure, function, and clinical relevance of mitochondria and the electron transport chain (ETC). Designed for students in medicine, biochemistry, and life sciences, it’s perfect for mastering oxidative phosphorylation, ATP synthesis, and the role of mitochondria in health and disease. Topics Covered: Mitochondrial structure & dynamics (fusion, fission, ultrastructure) ATP synthesis & the chemiosmotic theory Detailed overview of ETC comple...

This in-depth document is a complete guide to Kcat (turnover number) — one of the most important parameters in enzyme kinetics. It explains what Kcat is, how it's calculated, why it's biologically and clinically important, and how it’s used in biochemistry, pharmacology, and biotechnology. Topics Covered: What is Kcat and how it's calculated (Vmax / [E]total) Comparison of Kcat values across major enzymes (e.g. catalase, DNA polymerase) Real-world relevance in medicine, ...