Biotechnology and Pharmaceutical Development

High-Throughput Screening (HTS) in Drug Discovery Training Course

Introduction

High-Throughput Screening (HTS) is a pivotal technology in modern drug discovery, enabling rapid, large-scale testing of thousands to millions of compounds to identify potential drug candidates. The HTS process involves the use of automated systems, advanced robotics, and data analytics to screen vast compound libraries against specific biological targets. In the evolving landscape of pharmaceutical research, HTS is crucial for accelerating the drug development pipeline, improving lead discovery, and optimizing the selection of compounds for preclinical testing. High-Throughput Screening (HTS) in Drug Discovery Training Course is designed to provide professionals with an in-depth understanding of HTS processes, from basic principles to advanced methodologies, helping them leverage these techniques to drive innovations in drug discovery and development.

By enrolling in this course, participants will gain hands-on knowledge of HTS platforms, assay development, data analysis, and the application of HTS in hit identification. The course also covers key technologies such as miniaturization, assay optimization, and the integration of artificial intelligence (AI) and machine learning (ML) in HTS workflows. Designed for those involved in drug discovery, including researchers, scientists, and pharmaceutical professionals, this training will empower attendees with the tools necessary to enhance the efficacy of drug screening and contribute to the development of novel therapeutics. The comprehensive nature of this training ensures that professionals remain at the forefront of the rapidly advancing field of HTS.

Programme Curriculum

High-Throughput Screening (HTS) in Drug Discovery Training Course

Introduction

Course Duration

10 days

Course Objectives

Understand the foundational principles of High-Throughput Screening (HTS) in drug discovery.
Explore various HTS technologies and platforms, including robotics and automation.
Learn how to develop and optimize assays for HTS applications.
Analyze the role of miniaturization and microplates in accelerating drug discovery.
Implement HTS in primary and secondary screening strategies for drug development.
Gain proficiency in data analysis techniques, including the use of advanced statistical tools.
Discover the application of Artificial Intelligence (AI) and Machine Learning (ML) in HTS data analysis.
Understand the integration of compound libraries and the management of chemical libraries.
Develop strategies for optimizing hit identification in drug discovery pipelines.
Learn the principles of assay validation and quality control in HTS workflows.
Explore case studies highlighting the successful use of HTS in drug discovery.
Understand regulatory requirements and guidelines for HTS in drug development.
Gain insight into future trends in HTS, including digitalization and real-time monitoring technologies.

Target Audience

Pharmaceutical Researchers and Scientists
Drug Discovery Professionals
Biotechnology Researchers and Practitioners
Assay Development Scientists
Computational Biologists and Bioinformaticians
Industry Professionals in Pharma and Biotech Companies
Regulatory Affairs Specialists
Medical Device and Diagnostics Experts

Course Modules

Module 1: Introduction to HTS in Drug Discovery

Definition and purpose of HTS
History and evolution of HTS technologies
Key components of HTS systems
Overview of compound libraries
Case study: HTS in early drug discovery

Module 2: Technologies Behind HTS Platforms

Robotics and automation in HTS
Screening instruments and technologies
Data acquisition systems
Advances in HTS hardware and software
Case study: Automation in high-throughput cancer screening

Module 3: Assay Development and Optimization

Types of assays used in HTS (cell-based, biochemical)
Optimizing assay conditions
Assay miniaturization and multiplexing
Validation techniques for HTS assays
Case study: Optimization of a cell-based assay for drug screening

Module 4: Data Analysis in HTS

Introduction to data analysis in HTS
Statistical techniques for HTS data
Identifying hits and false positives
Normalization methods
Case study: Data analysis in a large-scale screening project

Module 5: Artificial Intelligence and Machine Learning in HTS

AI and ML techniques for data interpretation
Predicting compound activity with ML
Integrating AI with HTS platforms
Improving hit-to-lead conversion using ML
Case study: AI-driven drug discovery for novel antibiotics

Module 6: High-Content Screening (HCS)

Principles of high-content screening
Imaging and analysis in HCS
Applications of HCS in drug discovery
Advantages over traditional HTS
Case study: HCS in identifying neuroprotective drugs

Module 7: Compound Library Management

Building and managing compound libraries
Quality control and validation of compounds
Library screening strategies
Managing large-scale libraries
Case study: Compounds libraries in targeting cancer

Module 8: Screening Strategies and Workflow

Primary vs. secondary screening
Hit identification and validation
Screening strategies for target identification
Secondary assay development
Case study: Screening for kinase inhibitors

Module 9: Assay Validation and Quality Control

Ensuring reproducibility in HTS
Techniques for assay validation
Addressing false positives and negatives
Optimizing assay conditions for better performance
Case study: Quality control in screening for anti-inflammatory drugs

Module 10: Regulatory Guidelines and Ethical Considerations

Regulatory requirements for HTS assays
GxP (Good Practice) standards in HTS
Ethical issues in drug screening
Risk assessment in drug discovery
Case study: Regulatory challenges in HTS for oncology

Module 11: Miniaturization and Microplates in HTS

Advantages of miniaturized assays
Types of microplates and their applications
Benefits of scaling down assays
Impact on cost and speed in drug screening
Case study: Microplate use in high-throughput antiviral screening

Module 12: Future Trends in HTS

Emerging technologies in HTS
AI and automation trends in HTS
Next-gene sequencing in drug discovery
Real-time HTS monitoring
Case study: The role of digitalization in HTS

Module 13: High-Throughput Screening in Personalized Medicine

HTS applications in precision medicine
Identifying patient-specific drug responses
Biomarker discovery using HTS
Tailoring drug treatments based on HTS data
Case study: HTS in targeted therapy for cancer

Module 14: Screening for Complex Diseases

HTS in neurodegenerative diseases
Drug discovery for infectious diseases
Screening for metabolic disorders
Rare diseases and HTS
Case study: Screening for AlzheimerΓÇÖs treatments

Module 15: Final Case Study and Review

Real-world HTS project overview
Key takeaways and lessons learned
Group discussion on course content
Hands-on exercise: Data analysis and hit identification
Review of future directions in HTS and drug discovery

Training Methodology
This course employs a participatory and hands-on approach to ensure practical learning, including:

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

HTS platforms assay development data analysis software

Programme Fee

Duration: 10 Days

Method: Online or Physical

Online Price: $2,000

Physical Price: $4,000

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 30 Oct 2026

💻 Online / Virtual session

Online $2,000