Download Certificate Course in Computer Aided Drug Design
Certificate Course in Computer Aided Drug Design by duemy download, SDBB, LBDD, Pharmacophore Modelling, QSAR, Combinatorial Chemistry. The most fundamental goal in drug design is to predict whether a given molecule will bind to a target and if so how strongly. Molecular mechanics or molecular dynamics is most often used to estimate the strength of the intermolecular interaction between the small molecule and its biological target.
These methods are also used to predict the conformation of the small molecule and to model conformational changes in the target that may occur when the small molecule binds to it. Semi-empirical, ab initio quantum chemistry methods, or density functional theory are often used to provide optimized parameters for the molecular mechanics calculations and also provide an estimate of the electronic properties (electrostatic potential, polarizability, etc.) of the drug candidate that will influence binding affinity.
What you’ll learn
- To make the learner aware about basics of Computer Aided Drug Design (CADD)
- To make the learner aware about basics of Structure Based Drug Design
- To make the learner aware about basics of Databases used in Drug Design
- To make the learner aware about basics of Ligand Based Drug Design
- 1. hit identification using virtual screening (structure- or ligand-based design)
- 2. hit-to-lead optimization of affinity and selectivity (structure-based design, QSAR, etc.)
- 3. lead optimization of other pharmaceutical properties while maintaining affinity
Course content
- Section 1: Introduction
- Lecture 1 Introduction
- Section 2: Computer Aided Drug Design
- Lecture 2 Computer Aided Drug Design
- Lecture 3 Types of Databases
- Lecture 4 Types of SBDD (Structure Based Drug Design)
- Lecture 5 CADD Steps
- Section 3: Ligand Based Drug Design
- Lecture 6 Pharmacophore Modelling
- Lecture 7 QSAR
Course details
- Video quality: MP4 | Video: h264, 1280 × 720
- Audio quality: Audio: AAC, 44.1 KHz, 2 Ch
- Video duration: 2h 3m
- Number of lessons: 4 sections, 8 lectures
- Language: English
- Compressed file size: 1 GB
