acf domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the init action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /home/zoovi/public_html/gsv/wp-includes/functions.php on line 6170This Certificate Course in Computational Drug Discovery is designed for students, researchers, and professionals seeking hands-on expertise in AI-driven drug discovery, molecular docking, and virtual screening. With a 70% hands-on learning approach, the course provides industry-relevant skills to enhance career opportunities in pharma, biotech, and computational research.<\/p>\n
\ud83d\udce2 Limited Seats Available! Secure your spot today!
\n\ud83d\ude80 Next batch starts: March 15, 2025<\/p>\n
Course Overview<\/strong><\/p>\n Course Code: CD101C What You\u2019ll Learn:<\/strong><\/p>\n \ud83e\uddec Module 1: Fundamentals of Computational Drug Discovery \ud83d\udcbb Module 2: Hands-On Molecular Modeling & Docking \ud83d\udda5 Module 3: Virtual Screening & Lead Optimization \ud83e\udd16 Module 4: AI & Machine Learning for Drug Discovery Why Choose This Course?<\/strong><\/p>\n \ud83c\udfaf 70% Hands-On Learning \u2013 Work with real-world drug discovery tools & datasets. Who Should Enrol?<\/strong> \ud83d\udce9 Have Questions? Write to us at contact@globalsouthvarsity.org<\/p>\n","protected":false},"excerpt":{"rendered":" This Certificate Course in Computational Drug Discovery is designed for students, researchers, and professionals seeking hands-on expertise in AI-driven drug … <\/p>\n
\nDelivery Mode: Hybrid (Online + In-Person)
\nProject: No
\nLevel: Beginner
\nCredits: 2 (30 hours)
\nCertification: Awarded upon completion<\/p>\n
\n\u2714 Introduction to the in silico drug discovery pipeline
\n\u2714 Basics of molecular docking, QSAR, and virtual screening
\n\u2714 Overview of AI\/ML applications in drug discovery<\/p>\n
\n\u2714 Structure-based drug design (SBDD) using AutoDock & PyRx
\n\u2714 Ligand & receptor preparation for docking
\n\u2714 Hands-on molecular docking simulations & analysis<\/p>\n
\n\u2714 Database screening for potential drug candidates
\n\u2714 ADMET (Absorption, Distribution, Metabolism, Excretion, Toxicity) prediction
\n\u2714 Lead optimization strategies & structure-activity relationships (SAR)<\/p>\n
\n\u2714 Hands-on QSAR modeling using Python & RDKit
\n\u2714 Introduction to deep learning models for drug discovery
\n\u2714 Practical implementation of predictive models for hit identification<\/p>\n
\n\ud83c\udfaf Industry-Relevant Skills \u2013 Master computational drug discovery techniques used in pharma, biotech, and AI-driven research.
\n\ud83c\udfaf Taught by Experts \u2013 Train with industry professionals & computational biologists.
\n\ud83c\udfaf Job-Readiness \u2013 Build essential skills for careers in pharma, bioinformatics, and computational research.<\/p>\n
\n\ud83d\udc49 Students & Graduates \u2013 Ideal for those in Biotechnology, Bioinformatics, Pharmacy, Chemistry, or Life Sciences.
\n\ud83d\udc49 Industry Professionals \u2013 Perfect for pharma, CROs, and biotech professionals looking to upskill.
\n\ud83d\udc49 Researchers & Data Scientists \u2013 Great for those interested in AI\/ML applications in drug discovery.<\/p>\n