By definition, Computer-Aided Drug Design (CADD) is a specialized discipline that uses computational methods to simulate drug-receptor interactions. CADD methods are heavily dependent on bioinformatics tools, application and on the support side of the hub, information technology, in- formation management, software applications, databases and computational resources all provide the infrastructure for bioinformatics and biotechnology. On the scientific side of the hub, bioinformatics methods are used extensively in molecular biology, genomics, proteomics, other emerging areas (i.e. metabolomics, transcriptomics) and in CADD re- search. There are several key areas where bioinformatics supports CADD research.
Computer Aided Drug Design is central to rational drug design and drug discovery process. It contributes to the selection and synthesis of new materials, and guides the design of catalysts. New quantum mechanical techniques underline the understanding of electronic properties of materials and have advanced the level of precision at which moderate size molecules can be modeled. Computer-aided drug design uses computational chemistry to discover, enhance, or study drugs and related biologically active molecules. The fundamental goal is to predict whether a given molecule will bind to a target and if so, then, how strongly.
We at RASA life science informatics conduct CADD training in accordance to the recent trends in the industry. Our Computer-Aided Drug Design course contains detailed knowledge about the different methods and techniques taught in a more practical manner. RASA’s training is highly ranked in India and till date, we have more than 1000 students.