CET879 AI for Drug Discovery & Protein Interactions (Basic)

Course Provider

School of Computer Science and Engineering (SCSE)



Academic Unit



Drug discovery is a notoriously risky and expensive process. AI-driven drug discovery has emerged rapidly in recent years, to become a major avenue for biotechnology and pharmaceutical companies to gain faster and cheaper access to drug therapeutics. This course is intended to introduce learners to the application of AI/ML and computational data analysis in drug discovery. 


This course is part of:

- Graduate Certificate in Artificial Intelligence and AI Plus 
- FlexiMasters in Artificial Intelligence and AI Plus 

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At the end of the course, learners  are able to:

  • Understand the basics of drug discovery and how AI/ML can be applied to accelerate various phases of drug discovery, specifically in drug screening
  • Understand the basics of drug-protein interactions and how AI/ML can be applied to predict drug targets
  • Identify a problem in the drug discovery process, formulate a solution, and evaluate appropriate algorithms to solve the problem. 
  • Predict protein interactions, protein complexes, and disease genes.

In this course, we introduce the phases of drug discovery and different machine learning methods that can be embedded into the drug discovery process to facilitate drug target identification and drug design. The course is intended to be a foundation course for Computer/software learners who are interested to pursue a career in the biomedical/pharmaceutical domain. For computer science learners, the course is intended to be an introductory course to biological problems in the biomedical/drug discovery domains, and that can be addressed using AI/ML applications. Through studies of different AI/ML methods, the learners will also enhance their ML skills. For biology/biomedical learners, the course is intended to be a foundation course in AI/ML. It mainly covers:

  • Introduction to AI-driven Drug Discovery (Understanding the drug discovery process; introduction to drug screening and drug design; Introduction to prediction/machine learning methods used in various phases of the drug discovery process)
  • Image-based machine learning for quantifying drug response in screening

No pre-requisites are needed to enrol in the individual courses. 

Participants need to take note that those without qualifications or prior working experience in relevant engineering or the related fields, may find the course contents challenging.

Standard Course Fee: S$1,944

SSG Funding Support

Course fee payable after SSG funding, if eligible under various schemes

Fee BEFORE funding & GST

Fee AFTER funding & 8% GST

Singapore Citizens (SCs) and Permanent Residents (PRs) (Up to 70% funding)



Enhanced Training Support for SMEs (ETSS)


SCs aged ≥ 40 years old
SkillsFuture Mid-career Enhanced Subsidy (MCES)
(Up to 90% funding)

• NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click here for more information.

    Read more about funding

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