Certificate Programme in Computational ADME-Tox

Thursday, 28 August 2025 19:11:18

International applicants and their qualifications are accepted

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Overview

Overview

Computational ADME-Tox is a rapidly growing field. This Certificate Programme provides practical training in in silico prediction of Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADME-Tox) properties.


Designed for pharmaceutical scientists, chemists, and toxicologists, this program focuses on using computational methods for drug discovery and development.


Learn to apply cutting-edge molecular modeling and cheminformatics techniques. Master software tools for ADME-Tox prediction and data analysis.


Gain valuable skills for efficient drug design and regulatory compliance. Computational ADME-Tox expertise is highly sought after.


Enroll now and advance your career in drug development! Explore the program details and register today.

Computational ADME-Tox is a certificate program designed to equip you with cutting-edge skills in predicting absorption, distribution, metabolism, excretion, and toxicity (ADME-Tox) of drug candidates using computational techniques. This intensive program provides hands-on experience in in silico modeling and simulation, enhancing your expertise in cheminformatics and QSAR. Gain a competitive edge in the pharmaceutical industry with improved career prospects as a computational chemist, ADME-Tox scientist, or data scientist. Our unique curriculum integrates advanced software and real-world case studies, preparing you for immediate industry impact. Master Computational ADME-Tox today.

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 its Computational Approaches
• Pharmacokinetics (PK) Modeling and Simulation
• Pharmacodynamics (PD) Modeling and Simulation
• Computational Toxicology: QSAR and Predictive Modeling
• Absorption, Distribution, Metabolism, and Excretion (ADME) Prediction
• In silico ADME-Tox: Case Studies and Applications
• Data Analysis and Visualization for ADME-Tox
• Software and Tools for Computational ADME-Tox

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 (ADME-Tox Focus) Description
Computational ADME Scientist Develops and applies computational methods to predict ADME properties, crucial for drug discovery and development. High demand in pharmaceutical and biotech companies.
Toxicology Modeller (In Silico) Utilizes computational models to assess the toxicity of drug candidates, reducing reliance on animal testing and accelerating drug development. Growing sector with increasing demand for expertise.
Bioinformatician (ADME/Tox focus) Analyzes large biological datasets related to ADME and toxicity, contributing to the understanding of drug behavior in the body and aiding in rational drug design. Strong analytical and programming skills are essential.
Data Scientist (Pharmacokinetics & Drug Metabolism) Applies data science techniques to analyze pharmacokinetic and drug metabolism data, supporting decision-making in drug discovery and development processes. In-demand role across pharmaceutical industry.

Key facts about Certificate Programme in Computational ADME-Tox

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A Certificate Programme in Computational ADME-Tox equips participants with the skills to predict and optimize the absorption, distribution, metabolism, excretion, and toxicity (ADME-Tox) properties of drug candidates using computational methods. This significantly reduces reliance on traditional, time-consuming, and expensive in vivo and in vitro experiments.


Learning outcomes include mastering various computational techniques, such as quantitative structure-activity relationship (QSAR) modeling, molecular dynamics simulations, and cheminformatics. Participants will gain proficiency in analyzing complex datasets, interpreting simulation results, and applying this knowledge to drug discovery and development projects. This program emphasizes hands-on experience with relevant software and databases crucial for successful in silico ADME-Tox prediction.


The programme's duration typically ranges from a few weeks to several months, depending on the intensity and depth of the curriculum. The flexible learning format often caters to working professionals, allowing them to upskill without significant disruption to their careers. Many programs offer online delivery, making them accessible globally.


The industry relevance of a Certificate Programme in Computational ADME-Tox is undeniable. Pharmaceutical companies and biotechnology firms increasingly rely on computational approaches to accelerate drug development, minimize costs, and improve the success rate of drug candidates. Graduates are highly sought after for their ability to contribute to the crucial early stages of drug design and optimization, making this certificate a valuable asset in a competitive job market. Skills in cheminformatics, drug metabolism, and toxicology are highly prized.


This specialized training in computational ADME-Tox provides a competitive edge in the pharmaceutical and related industries, focusing on in silico prediction and reducing reliance on traditional experimental methods.

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Why this course?

A Certificate Programme in Computational ADME-Tox is increasingly significant in today's UK pharmaceutical market. The burgeoning biotech sector and growing demand for efficient drug development necessitate expertise in in silico ADME-Tox prediction. The UK's life sciences industry, a major contributor to the national economy, is witnessing a surge in computational approaches to accelerate drug discovery.

According to the UK BioIndustry Association, investment in UK biotech reached £1.9 billion in 2022. This fuels the need for skilled professionals proficient in computational ADME-Tox modelling, impacting areas such as drug absorption, distribution, metabolism, excretion, and toxicity. This certificate programme provides crucial training in software and methodologies to meet this demand. The rising importance of personalized medicine further strengthens the relevance of computational ADME-Tox techniques.

Year Investment (£bn)
2021 1.5
2022 1.9

Who should enrol in Certificate Programme in Computational ADME-Tox?

Ideal Audience for the Certificate Programme in Computational ADME-Tox Details
Pharmaceutical Scientists Seeking to enhance their skills in in silico ADME-Tox prediction and modelling, crucial for drug discovery and development. The UK boasts a thriving pharmaceutical sector, with a significant demand for professionals proficient in these techniques.
Toxicologists Looking to integrate computational methods into their workflows for more efficient and accurate toxicity assessment. The programme will equip them with valuable skills for interpreting and applying in silico data.
Chemoinformatics Professionals Interested in expanding their expertise to encompass ADME-Tox prediction, leveraging QSAR modelling and other computational techniques for improved drug design. According to UK government data, the demand for skilled chemoinformatics professionals is consistently high.
Regulatory Affairs Professionals Working within the pharmaceutical industry, needing a deeper understanding of the computational approaches used to support regulatory submissions. This certificate will enhance their understanding of drug safety evaluation and regulatory compliance.
Bioinformaticians Interested in applying their skills to drug discovery and development. This certificate is ideal for expanding into the field of ADME-Tox.