MD Simulation & Drug Designing
01
AI Based Compound Detection
AI-based compound detection utilizes advanced algorithms and machine learning to swiftly and accurately identify promising chemical compounds with potential applications in various industries.
02
Molecular docking
Molecular docking is a computational technique used in drug discovery to predict the preferred orientation of one molecule (the ligand) when bound to another molecule (the target). By simulating the interaction between these molecules, researchers can identify potential drug candidates by analysing their binding affinities and structural complementarity. This method plays a crucial role in accelerating the drug development process by aiding in the identification of promising lead compounds for further experimental validation.
03
Molecular Dynamic Stimulation
Molecular dynamics simulation in drug discovery utilizes computational models to simulate the movement and behaviour of molecules over time. By mimicking the interactions between drug compounds and their target proteins at an atomic level, researchers can predict binding affinities and study dynamic structural changes. This approach aids in the rational design of drugs by providing insights into molecular interactions, enhancing the efficiency of drug discovery processes. Molecular dynamics simulations offer a powerful tool for understanding drug-protein interactions, energy minimization and optimizing drug candidates for improved efficacy and safety.