Molecular Dynamics Simulation Course
About This Course
Molecular Dynamics Simulation Course Allows You To Develop The Advanced Level Skills In Analyzing MD Simulations
Molecular Dynamics is a computer simulation approach permitting the time evolution prediction of an interacting particular system which involves the generation of atomic trajectories of a system using numerical integration of Newton’s laws of motion to define specific interatomic potential using the initial condition and boundary condition.
It is one of the principle approaches for the study of biological molecules computationally for calculating the time dependent behavior of a molecular system. It provides detailed information about the fluctuations and conformational changes in proteins and nucleic acids.
MD simulation analysis is one of the essential steps while designing novel drugs using computational approaches. MD analysis not just evaluates and validates the protein structures, either predicted computationally or experimentally, but also validates the drug-target compatibility by providing various statistical information about the interacting drug-target complex.
In this course you’ll learn how to develop expertise in molecular dynamics simulations to predict the most suitable in silico conformations of biological macromolecules for drug designing & development and find the protein-protein interaction networks.
Joining and learning from the Molecular Dynamics Simulation Course can enhance your biological career by learning through various useful & informative pre-recorded lectures on Molecular Dynamics Simulation analysis using GROMACS.
Learning Objectives
Target Audience
- The target audience for the Basic Linux Scripting For Bioinformatics are biologists, beginner or intermediate Bioinformaticians or data analysts with no or little experience in applications of computational bioinformatics and analysis.
- However, a superficial understanding of molecular biology and logic development for coding is expected from you before you join the course.
- Bioinformatics is quite easy to get started in, even if you lack a proper understanding of the underlying concepts of Bioinformatics databases, servers, tools and the algorithms working behind them.