Pharmacy Freak Editorial Team

Molecular docking: rigid and flexible docking methods MCQs With Answer — This quiz set is designed for M.Pharm students to deepen understanding of molecular docking approaches used in drug discovery. The questions focus on principles distinguishing rigid and flexible docking, sampling algorithms, scoring functions, receptor and ligand preparation, treatment of side-chain and backbone flexibility, and … Read more

Introduction: Virtual screening is a cornerstone of modern drug discovery, enabling M.Pharm students to prioritize compounds efficiently before experimental testing. This collection of MCQs focuses on drug-likeness rules and pharmacophore-based screening — two complementary approaches used to filter compound libraries and identify promising hits. Questions cover physicochemical property thresholds (Lipinski, Veber, Ghose, Egan, Muegge), PAINS … Read more

Introduction: Pharmacophore-based design and mapping techniques are central to modern rational drug discovery, offering a way to capture the essential 3D arrangement of chemical features required for biological activity. This blog provides M.Pharm students with focused multiple-choice questions that probe both conceptual understanding and practical aspects of pharmacophore modeling — from definition and feature types … Read more

Introduction: Structure-based drug design (SBDD) integrates three-dimensional structural information of biological targets with computational and experimental methods to design potent, selective drug candidates. For M.Pharm students, mastering SBDD methodologies — including X-ray crystallography, cryo-EM, NMR, homology modeling, molecular docking, fragment-based design, molecular dynamics, and free energy calculations — is essential for rational lead discovery and … Read more

Introduction: Rational drug design combines biology, chemistry and computational tools to create molecules that selectively modulate biological targets. For M.Pharm students, mastering concepts such as structure-based and ligand-based approaches, pharmacophore modelling, QSAR, docking, fragment- and de novo design, and ADMET optimization is essential for modern drug discovery. This MCQ set focuses on core principles and … Read more

NMR and X‑ray crystallography are cornerstone techniques in structure prediction and rational drug design. This quiz collection targets M.Pharm students preparing for advanced coursework and exams in Principles of Drug Discovery. The questions cover theoretical principles, experimental workflows, data interpretation, strengths and limitations of each method, and how structural information guides ligand design, fragment screening, … Read more

Introduction Threading and homology modeling are essential computational approaches for predicting three-dimensional protein structures when experimental data are unavailable. For M.Pharm students, understanding these techniques is crucial because predicted protein structures enable structure-based drug design, virtual screening, and target validation. Homology modeling builds models based on known structures of homologous proteins, while threading (fold recognition) … Read more

Introduction: Understanding protein structure at the levels of domains, motifs and folds is essential for modern drug discovery and rational design. Domains are semi-independent structural and functional units; motifs are small, conserved arrangements of secondary structure that often mediate binding or catalysis; folds represent the overall 3D architecture shared by protein families. For M.Pharm students, … Read more

This set of MCQs is tailored for M.Pharm students focusing on assay development for hit identification, a pivotal phase in early drug discovery. It covers practical and theoretical aspects such as assay selection (biochemical vs cell-based), optimization parameters (signal window, Z’-factor), readout technologies, interference liabilities (PAINS, autofluorescence, aggregation), controls, counterscreens and orthogonal confirmation. Questions emphasize … Read more

Introduction: In silico lead discovery and virtual screening are essential components of modern drug discovery, allowing M.Pharm students to prioritize chemical matter efficiently. This blog focuses on computational techniques — including ligand‑ and structure‑based virtual screening, docking, scoring functions, pharmacophore modeling, homology modeling, fragment‑based approaches, and machine‑learning‑driven methods — that accelerate hit identification and early … Read more