In Silico Drug Discovery and Virtual Screening
In silico drug discovery uses computational methods including molecular docking, pharmacophore modeling, and virtual screening to identify and optimize potential drug candidates.
Natural Products in Drug Discovery
Natural products from plants, microbes, and marine organisms provide a rich source of chemical diversity for drug discovery, with applications in infectious disease, oncology, and immunology.
ADME/Tox Profiling in Drug Discovery
ADME/Tox profiling evaluates the absorption, distribution, metabolism, excretion, and toxicity of drug candidates to select compounds with favorable pharmacokinetic and safety profiles.
PK/PD Modeling in Drug Development
Pharmacokinetic/pharmacodynamic modeling integrates drug concentration-time data with observed effects to predict dosing regimens and optimize therapeutic outcomes.
Biopharmaceuticals: Monoclonal Antibodies and ADCs
Biopharmaceuticals are therapeutic products derived from biological sources, including monoclonal antibodies, antibody-drug conjugates, and fusion proteins that target specific disease pathways.
Prodrug Design and Strategies
Prodrugs are pharmacologically inactive derivatives that undergo enzymatic or chemical conversion in vivo to release the active drug, improving solubility, permeability, or targeting.
Medicinal Chemistry: SAR and Lead Optimization
Structure-activity relationship analysis guides lead optimization by systematically modifying functional groups to improve potency, selectivity, pharmacokinetics, and safety profiles.
Fragment-Based Drug Design
Fragment-based drug design uses low-molecular-weight fragments to identify efficient binding motifs, which are then elaborated into potent lead compounds through structure-guided optimization.
High-Throughput Screening and Assay Development
High-throughput screening uses automated instrumentation and large compound libraries to identify active molecules against biological targets, with robust assay design being critical for success.