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Hands-on In Silico ADMET Profiling, Drug-Likeness Screening and Toxicity Prediction for Lead Optimization

Original price was: INR ₹112.00.Current price is: INR ₹59.00.

Hands-on In Silico ADMET Profiling, Drug-Likeness Screening and Toxicity Prediction for Lead Optimization is a Intermediate-level, 3 Days online program by NSTC. Master ADMET profiling, drug-likeness screening and toxicity prediction through hands-on projects, real datasets, and expert mentorship. Earn your e-Certification + e-Marksheet in ADMET & Drug-Likeness. Designed for biotechnology students, researchers and professionals seeking practical drug discovery expertise in India.

Attribute
Detail
Format
Recorded Lectures (Self-Paced)
Level
Intermediate
Duration
3 Days (60-90 minutes per session)
Certification
e-Certification + e-Marksheet
Tools
PubChem, SwissADME, pkCSM, ADMETlab, ProTox-II, Google Sheets

About the Admet Profiling Course

This 3‑day hands‑on course introduces participants to ADMET prediction, drug‑likeness screening, toxicity analysis, and lead compound prioritisation for computational drug discovery.
You will use PubChem, SwissADME, pkCSM, ADMETlab and ProTox‑II to evaluate pharmacokinetic properties, toxicity risks and drug‑like potential of selected compounds. Ideal for students, PhD scholars, researchers, academicians, pharma professionals, biotech learners and bio‑informatics enthusiasts.

Program Highlights

• Comprehensive coverage of Hands from fundamentals to advanced applications
• Hands-on projects and real-world case studies in Biotechnology
• Expert-curated curriculum aligned with current industry standards
• Access to recorded lectures and e-LMS platform for flexible, self-paced learning
• e-Certification and e-Marksheet upon successful completion
• Dedicated mentor support and interactive doubt-clearing sessions
• Practical experience with tools: PubChem, SwissADME, pkCSM, ADMETlab
• Career-oriented training for academic and professional growth in Biotechnology

Course Curriculum

Module 1: Day 1 – Introduction to ADMET & Drug‑Likeness Screening

  • Understand the role of ADMET in drug discovery
  • Explore Lipinski’s Rule of Five and lead‑likeness concepts
  • Perform drug‑likeness evaluation with SwissADME
  • Retrieve structures and SMILES from PubChem

Module 2: Day 2 – Pharmacokinetic Prediction & ADME Profiling

  • Analyse absorption, distribution, metabolism and excretion (ADME) parameters
  • Compare GI absorption, BBB permeation and solubility scores
  • Interpret CYP enzyme interactions and P‑glycoprotein substrate/inhibitor status
  • Generate comprehensive ADME profiles with pkCSM and ADMETlab

Module 3: Day 3 – Toxicity Prediction, Lead Prioritisation & Final Selection

  • Predict acute toxicity, hepatotoxicity, mutagenicity and carcinogenicity with ProTox‑II
  • Assess hERG inhibition and cardiotoxicity risk
  • Interpret toxicity class and LD50 values
  • Combine docking scores with ADMET/toxicity data for holistic ranking

Tools, Techniques, or Platforms Covered

PubChem
SwissADME
pkCSM
ADMETlab
ProTox-II
Google Sheets
Excel
ChatGPT
Gemini

Real-World Applications

  • Apply Hands skills directly to academic research, thesis work, and publications
  • Build a professional portfolio showcasing practical Biotechnology competencies
  • Solve industry-relevant problems using Hands methodologies and tools
  • Contribute to open-source projects and collaborative research in Biotechnology
  • Prepare for competitive examinations, interviews, and professional certifications in Biotechnology

Who Should Attend & Prerequisites

  • Industry‑recognised e‑Certification + e‑Marksheets from NSTC
  • Hands‑on training with practical projects and industrial datasets
  • Dedicated expert mentorship and doubt‑resolution sessions

Prerequisites:

Frequently Asked Questions

1. What is the format of this Hands-on In Silico ADMET Profiling, Drug-Likeness Screening and Toxicity Prediction for Lead Optimization course?
This is an Recorded Lectures (Self-Paced) course delivered via our e-LMS platform. You will have access to pre-recorded video lectures, reading materials, assignments, quizzes, and hands-on projects that you can complete at your own pace.
2. Will I receive a certificate after completing this course?
Yes! Upon successful completion of all modules, assignments, and assessments, you will receive an e-Certification along with an e-Marksheet from NanoSchool (NSTC) that you can showcase on your CV and LinkedIn profile.
3. What are the prerequisites for this course?
Learners should have a foundational understanding of Biotechnology concepts. Familiarity with basic tools and programming is recommended.
4. How long will I have access to the course materials?
You will have access to all course materials for the duration of 3 Days (60-90 minutes per session). The self-paced format allows you to learn according to your own schedule through our online learning management system.
5. Is mentor support available during the course?
Yes, dedicated mentor support is available throughout the course. You can reach out for doubt-clearing sessions, project guidance, and career advice related to Biotechnology. Our mentors are industry experts and experienced professionals.
Enroll in Hands-on In Silico ADMET Profiling, Drug-Likeness Screening and Toxicity Prediction for Lead Optimization today and take the next step in your professional journey. With expert-curated content, practical projects, and industry-recognized certification, this course is your gateway to mastering Biotechnology skills that matter.
Brand

NSTC

Format

Recorded Lectures

Duration

3 Days (60-90 minutes per session)

Level

Intermediate

Domain

Biotechnology

Hands-On

Yes – Practical projects with industrial datasets

Tools Used

PubChem, SwissADME, pkCSM, ADMETlab, ProTox-II, Google Sheets, Excel, ChatGPT, Gemini

Certification

  • Upon successful completion of the workshop, participants will be awarded a Certificate of Completion, validating their skills and knowledge in advanced AI ethics and regulatory frameworks. This certification can be added to your LinkedIn profile or shared with employers to demonstrate your commitment to ethical AI practices.

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Hall of Fame.

Achieve excellence and solidify your reputation among the elite!

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