Certificate Programme in Computational ADME/Tox Modeling

Tuesday, 09 September 2025 02:45:13

International applicants and their qualifications are accepted

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Overview

Overview

Computational ADME/Tox Modeling is a rapidly growing field. This certificate program provides practical skills in in silico prediction.


Learn to apply quantitative structure-activity relationship (QSAR) models and other computational techniques. You will master absorption, distribution, metabolism, excretion (ADME) and toxicity prediction.


The program is designed for medicinal chemists, toxicologists, and anyone interested in drug discovery. Gain valuable expertise in pharmacokinetics (PK) and pharmacodynamics (PD) modeling.


Computational ADME/Tox Modeling accelerates drug development. Enroll today and advance your career in this crucial area. Explore the program details now!

Computational ADME/Tox Modeling is a cutting-edge certificate program designed to equip you with in silico skills crucial for drug discovery and development. Master advanced techniques in absorption, distribution, metabolism, excretion, and toxicity (ADME/Tox) prediction, leveraging cheminformatics and machine learning. This intensive program offers hands-on experience with industry-standard software and datasets, boosting your career prospects in pharmaceutical research, regulatory affairs, and biotech. Gain a competitive edge with predictive modeling and accelerate your career in this exciting field. Develop expertise in quantitative structure-activity relationships (QSAR) and virtual screening.

Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

• Introduction to ADME/Tox and Computational Modeling
• Pharmacokinetics (PK) Modeling and Simulation
• Pharmacodynamics (PD) Modeling and Simulation
• Absorption, Distribution, Metabolism, and Excretion (ADME) Modeling
• Toxicity Prediction using In silico Methods
• QSAR (Quantitative Structure-Activity Relationship) Modeling
• Machine Learning Applications in ADME/Tox
• Case Studies in Computational ADME/Tox
• Software and Databases for ADME/Tox Modeling

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:
1 month (Fast-track mode): 140
2 months (Standard mode): 90

40% Cheaper

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

 The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

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+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Career Role (Computational ADME/Tox Modeling) Description
Senior Computational Chemist (ADME/Tox) Leads complex projects, designs & executes simulations, mentors junior staff. High industry demand.
ADME/Tox Modeler (Pharmacokinetics) Develops and validates ADME/Tox models using various software. Essential role in drug development.
Computational Biologist (Drug Metabolism) Focuses on biological aspects of ADME/Tox, integrating experimental data with computational modeling.
Data Scientist (ADME/Tox Informatics) Analyzes large datasets, develops predictive models, and visualizes ADME/Tox properties. High demand for expertise.
Regulatory Affairs Specialist (Computational ADME/Tox) Ensures compliance with regulatory requirements for ADME/Tox modeling and data submissions.

Key facts about Certificate Programme in Computational ADME/Tox Modeling

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This Certificate Programme in Computational ADME/Tox Modeling equips participants with the essential skills to apply computational methods in predicting the absorption, distribution, metabolism, excretion, and toxicity (ADME/Tox) properties of drug candidates. The programme focuses on practical application, using industry-standard software and datasets.


Learning outcomes include a comprehensive understanding of ADME/Tox principles, proficiency in utilizing various computational tools and techniques like QSAR modeling, and the ability to interpret and communicate complex modeling results. Participants will gain experience in cheminformatics, molecular dynamics simulations, and physiologically based pharmacokinetic (PBPK) modeling – crucial skills in pharmaceutical research and development.


The programme's duration is typically [Insert Duration Here], offering a flexible learning schedule designed to accommodate working professionals. This intensive yet manageable timeframe allows for a rapid acquisition of highly sought-after skills in the field.


The industry relevance of this Certificate Programme in Computational ADME/Tox Modeling is undeniable. Pharmaceutical companies, biotechnology firms, and contract research organizations (CROs) increasingly rely on computational modeling to accelerate drug discovery and reduce development costs. Graduates are well-prepared for roles in drug design, preclinical research, and regulatory affairs, making this certificate a valuable asset for career advancement.


The curriculum integrates case studies and real-world examples, ensuring that participants develop practical experience and build a strong portfolio to showcase their expertise in computational ADME/Tox prediction and drug metabolism.

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Why this course?

Certificate Programme in Computational ADME/Tox Modeling signifies a crucial step in navigating the evolving pharmaceutical landscape. The UK’s burgeoning biotech sector, witnessing a year-on-year growth, demands skilled professionals proficient in computational methods for Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADME/Tox) prediction. This accelerates drug development, reducing costs and time-to-market. According to recent reports, approximately 70% of drug candidates fail in clinical trials due to ADME/Tox issues. Mastering in silico modeling techniques, offered through this certificate program, directly addresses this critical bottleneck.

ADME/Tox Challenge Computational Solution
High attrition rate in clinical trials Predictive modeling reduces risk.
Costly and time-consuming experiments In silico methods offer efficient alternatives.

Who should enrol in Certificate Programme in Computational ADME/Tox Modeling?

Ideal Audience for our Certificate Programme in Computational ADME/Tox Modeling
This Certificate Programme in Computational ADME/Tox Modeling is perfect for scientists and researchers seeking to enhance their skills in in silico prediction of Absorption, Distribution, Metabolism, Excretion (ADME) and toxicity. With over 10,000 pharmaceutical scientists employed in the UK*, this programme provides valuable training in cutting-edge cheminformatics and modelling techniques, essential for drug discovery and development.
Specifically, the programme targets:
• Pharmacists and medicinal chemists aiming to improve the efficiency of drug design and development.
• Toxicologists interested in leveraging computational methods for safety assessment and risk prediction.
• Data scientists with a background in chemistry or biology who wish to specialize in ADME/Tox modelling.
• Researchers in academia or industry looking to upskill in computational toxicology and pharmacokinetics.
*Source: (Insert relevant UK statistic source here, e.g., Office for National Statistics, industry association report)