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Professional Certificate in Computational Drug Discovery
Overview
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Learning outcomes
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Course content
Introduction To Computational Drug Discovery
Pharmacophore Modeling
Ligand-Based Virtual Screening
Structure-Based Virtual Screening
Molecular Docking
Quantitative Structure-Activity Relationship (Qsar) Analysis
Molecular Dynamics Simulations
Machine Learning In Drug Discovery
Chemoinformatics Tools And Databases
Drug Repurposing Techniques
Introduction To Drug Discovery
Protein Structure And Function
Molecular Docking
Chemoinformatics
Pharmacophore Modeling
Virtual Screening
Adme/Tox Prediction
Structure-Based Drug Design
Ligand-Based Drug Design
Machine Learning In Drug Discovery
Career Path
Key facts
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Why this course
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Frequently asked questions
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Why people choose us for their career
Jameson Thorne
USI can't express how much this course surpassed my expectations. The computational drug discovery content was spot-on and helped me achieve my learning goals with ease. I gained practical skills like using machine learning algorithms for drug screening, and I was impressed by the quality and relevance of the course materials. Overall, Stanmore School of Business has left me a very satisfied student!
Dr. Nicola West
GBAs a seasoned researcher in the pharmaceutical industry, I found the Professional Certificate in Computational Drug Discovery to be a valuable and enriching experience. The course content was well-structured, and I particularly appreciated the cutting-edge insights into AI-driven drug design. While there is room for improvement in the pacing of the course, I'm pleased with the overall quality and depth of the materials.
Sophia Kim
KRI'm absolutely thrilled with my experience in the computational drug discovery course! The course content was engaging and informative, and I gained so much practical knowledge, such as using computational techniques to analyze drug interactions. The materials were top-notch, and I genuinely enjoyed learning from the industry experts at Stanmore School of Business. Highly recommend this course to anyone interested in drug discovery!
Aidan McAllister
IETop marks for the Professional Certificate in Computational Drug Discovery! As a student coming from a biology background, I found the computational aspect challenging at first. However, I quickly got up to speed, thanks to the excellent course materials and clear explanations. I'm now equipped with a solid understanding of computational methods for drug discovery. A thoroughly enjoyable and educational experience!