QSAR Modeling: Principles and Practice

Partner: Udemy
Affiliate Name:
Area:
Description: In this course you will learn the subject of Quantitative Structure-Activity Relationship (QSAR) modeling in Computer-Aided Drug Design (CADD).  You will obtain practical skills to develop QSAR models on your own, which will be a valuable tool and a great addition for your skills set. In particular, for Drug Design, Cheminformatics, Bioinformatics or related fields practitioners.  This course also explains key concepts in machine learning, which is involved in developing QSAR models. In the initial sections, the theoretical aspects of QSAR modeling are explained which include the chemical and statistical knowledge required for performing QSAR. Following the initial theoretical sections, the practical sections will involve performing practical QSAR experiments using real QSAR datasets. You will be provided all the datasets so you can follow along the experiments. A free QSAR modeling software will be used throughout the course which is modern and efficient for all the required tasks. In the first experiment, each step in the QSAR modeling process will be explained and performed in details. In the subsequent experiments, new concepts will be introduced including using automatic descriptor selection methods, using non-linear regression algorithms and performing virtual screening with QSAR models. In those practical sections, each concept will be explained theoretically first then it will be demonstrated in a practical experiment. The subjects of the experiments are as follow:Experiment 1: Developing a QSAR model (MLR method) step by step in details.Experiment 2: Developing a QSAR model using fingerprints and the PLS method.Experiment 3: Developing a QSAR model using a non-linear method (kNN).Experiment 4: Developing a QSAR model with automatic descriptor selection methods.Experiment 5: Performing virtual screening on a database using a QSAR mo
Category: Teaching & Academics > Science > Bioinformatics
Partner ID:
Price: 19.99
Commission:
Source: Impact
Go to Course