The CADD Certificate Course 2026 by SVKM’s Shri C. B. Patel Research Centre for Chemistry & Biological Sciences is an online training program for students, research scholars and professionals interested in Computer-Aided Drug Design and computational drug discovery.
The two-month course covers important areas such as molecular modelling, molecular docking, virtual screening, pharmacophore modelling, QSAR, molecular dynamics, bioinformatics and protein–ligand interactions. The course fee is INR 2,950 including GST, and the last date to enroll is August 20, 2026, according to the course information provided.
Quick Summary
The CADD Certificate Course 2026 is a two-month online program covering computational drug discovery techniques such as molecular docking, virtual screening, QSAR, pharmacophore modelling and molecular dynamics. B.Pharm, M.Pharm, D.Pharm, B.Sc., M.Sc. students and research scholars can attend. The course fee is ₹2,950 including GST.
CADD Certificate Course 2026 – Overview
| Particular | Details |
|---|---|
| Course Name | Certificate Course on Computer-Aided Drug Design (CADD) |
| Institute | SVKM’s Shri C. B. Patel Research Centre for Chemistry & Biological Sciences |
| Course Type | Certificate Course |
| Mode | Online |
| Duration | 2 Months |
| Course Fee | ₹2,950 including GST |
| Certificate | Certificate on Successful Completion |
| Last Date to Enroll | August 20, 2026 |
| Contact Number | 7387226176 |
| training@cbprc.ac.in |
What is Computer-Aided Drug Design (CADD)?
Computer-Aided Drug Design (CADD) refers to the use of computational methods and computer-based tools to support the drug discovery and development process.
CADD can help researchers study interactions between potential drug molecules and biological targets before progressing to further experimental studies.
Common CADD approaches include:
- Molecular modelling
- Molecular docking
- Virtual screening
- Pharmacophore modelling
- QSAR
- Molecular dynamics
- Protein structure analysis
For pharmacy and life-science students, learning these concepts can provide an introduction to the computational side of modern drug discovery.
CADD Course 2026 – Key Topics
The course covers several important areas related to computational drug design.
1. Drug Discovery Process and CADD Workflow
Participants can understand the basic drug discovery process and where computational techniques are used during the identification and evaluation of potential drug candidates.
2. Bioinformatics, Genomics and Proteomics
The course introduces computational approaches associated with:
- Bioinformatics
- Genomics
- Proteomics
- Biological data analysis
These areas are increasingly connected with modern pharmaceutical and biomedical research.
3. Protein Structure Visualization and Databases
Participants learn about protein structures, visualization and databases used in computational drug research.
Understanding protein structure is important when studying how potential drug molecules interact with biological targets.
4. Molecular Mechanics and Molecular Dynamics
Molecular mechanics provides computational approaches for studying molecular structures, while molecular dynamics can be used to investigate molecular movement and behaviour over time.
5. Pharmacophore Modelling and QSAR
The course covers:
- Pharmacophore modelling
- Quantitative Structure–Activity Relationship (QSAR)
These methods can be used to understand structural features associated with biological activity and support drug-design research.
6. Protein–Ligand Docking
Molecular docking is an important computational technique used to study the possible binding of a ligand with a target protein.
Students can learn the fundamentals of protein–ligand docking and its application in drug discovery.
7. Virtual Screening and Drug Candidate Analysis
Virtual screening allows researchers to computationally evaluate large numbers of compounds and identify molecules that may be worth further investigation.
The course also introduces computational approaches for analysing potential drug candidates.
CADD Course Features
The course information highlights the following features:
- Online learning
- Expert-led sessions
- Hands-on learning
- Industry-oriented curriculum
- Certificate on successful completion
The exact session schedule and software/tools used are not mentioned in the provided course information.
CADD Course Duration and Fees
Duration
The total duration of the course is 2 months.
Course Fee
The course fee is:
₹2,950 including GST
No separate application fee has been mentioned in the provided course information.
Who Can Attend the CADD Course 2026?
The course information lists the following categories:
| Eligible Category | Status |
|---|---|
| B.Sc. | Eligible |
| M.Sc. | Eligible |
| B.Pharm | Eligible |
| M.Pharm | Eligible |
| D.Pharm | Eligible |
| Research Scholars | Eligible |
The course can therefore be relevant to students and researchers from pharmacy, pharmaceutical sciences, life sciences and related fields.
CADD Course for B.Pharm, M.Pharm and D.Pharm Students
The course may be particularly useful for pharmacy students who want to explore computational drug discovery.
For B.Pharm Students
B.Pharm students can use the course to gain introductory exposure to:
- Molecular docking
- Drug discovery
- Protein–ligand interactions
- QSAR
- Virtual screening
For M.Pharm Students
For M.Pharm students, CADD training may be relevant to research projects involving:
- Drug design
- Molecular modelling
- Docking studies
- Computational screening
- Structure–activity relationships
For D.Pharm Students
D.Pharm students interested in expanding their understanding of pharmaceutical research can also attend according to the course eligibility information provided.
Why Should Pharmacy Candidates Consider a CADD Course?
Modern drug discovery increasingly combines pharmaceutical sciences, biology, chemistry and computational methods.
For B.Pharm and M.Pharm candidates, basic knowledge of CADD can provide exposure to areas such as:
- Drug–target interactions
- Molecular docking
- Pharmacophore modelling
- QSAR
- Virtual screening
- Molecular dynamics
- Computational drug discovery
This can be particularly relevant for students interested in pharmaceutical research, drug discovery, medicinal chemistry, computational biology or higher studies.
Note: Completing a certificate course does not by itself guarantee a job, research position or admission. Its value depends on the learner’s skills, practical exposure and overall academic/research profile.
Last Date to Enroll
The last date to enroll is August 20, 2026.
Interested candidates should complete the enrollment process before the deadline mentioned in the course announcement.
How to Enroll for the CADD Course 2026?
According to the course information provided, the course announcement contains a QR code for enrollment with the instruction “Enroll Now – Scan Here.”
Enrollment Steps
- Check the course details and eligibility.
- Scan the enrollment QR code from the official course announcement.
- Complete the required registration details.
- Pay the applicable course fee.
- Submit the enrollment form.
- Keep the registration/payment confirmation for future reference.
Important: The direct enrollment URL is not mentioned in the information provided. Candidates should use the QR code or official enrollment link from the original course announcement.
Important Dates
| Event | Date |
|---|---|
| Course Duration | 2 Months |
| Last Date to Enroll | August 20, 2026 |
| Course Start Date | Not mentioned in the provided course information |
| Class Schedule | Not mentioned in the provided course information |
Course Certificate
Participants will receive a certificate on successful completion of the course, according to the course information provided.
The exact certificate format, assessment criteria and minimum attendance requirement are not mentioned in the provided information.
Contact Details
For course-related queries, candidates can contact the organizers using the following details:
Phone: 7387226176
Email: training@cbprc.ac.in
Important Links
| Purpose | Link |
|---|---|
| Institute / Course Information | Refer to the official SVKM/CBPRC course announcement |
| Enrollment | Scan the QR code provided in the official course announcement |
| Official Course Details | Refer to the original course notice/poster |
| GDC Classes | Add the relevant GDC Classes page URL |
Note: The direct official course URL and QR-code destination were not provided in the source information supplied for this article. Add the verified official link before publishing.
Frequently Asked Questions (FAQs)
1. What is the CADD Certificate Course 2026?
The CADD Certificate Course 2026 is an online two-month training program focused on Computer-Aided Drug Design and computational drug discovery.
2. Can B.Pharm students join the CADD course?
Yes. B.Pharm candidates are included in the eligible categories mentioned in the provided course information.
3. Can M.Pharm candidates apply for the CADD course?
Yes. M.Pharm candidates are listed among the eligible participants.
4. Can D.Pharm students attend the CADD course?
Yes. D.Pharm is included in the eligibility list provided for the course.
5. What is the fee for the CADD Certificate Course?
The course fee is ₹2,950, including GST.
6. What is the duration of the CADD course?
The course duration is 2 months and the mode is online.
7. What topics are covered in the CADD course?
Major topics include molecular modelling, molecular docking, virtual screening, pharmacophore modelling, QSAR, molecular dynamics, bioinformatics, genomics, proteomics and protein structure analysis.
8. What is the last date to enroll?
The last date to enroll is August 20, 2026.
Conclusion
The CADD Certificate Course 2026 by SVKM’s Shri C. B. Patel Research Centre for Chemistry & Biological Sciences provides a two-month online learning opportunity for students and research scholars interested in computational drug discovery.
The program covers important CADD concepts including molecular docking, molecular modelling, virtual screening, pharmacophore modelling, QSAR and molecular dynamics. B.Pharm, M.Pharm and D.Pharm candidates are among the categories listed as eligible.
With a fee of ₹2,950 including GST and a last enrollment date of August 20, 2026, the course may be worth considering for pharmacy students looking to gain exposure to computational approaches in drug discovery.
Last Date to Enroll: August 20, 2026
Recommended Products
