Interested in this College?
Get updates on Eligibility, Admission, Placements Fees Structure

Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study, Virtual Classroom	Video and Text Based

Course Overview

PG Program in Molecular Modelling and Drug Designing certification is a three months course that has been contributed jointly by Edu Plus Now, and the Indian Statistical Institute, Pune. Spread over 78 hours, this certification is mainly for people with some excitement in learning about drug designing, and molecular modelling. The classes are managed by a team of experienced faculty, and academicians related to this industry that instigates the students to be a part of the vibrant, and interactive learning community.

PG Program in Molecular Modelling and Drug Designing training includes theoretical conceptual teaching of ligand- and receptor-based design of drugs, homology modelling, energy minimization, macro-molecule optimization, molecular dynamics simulation, active site identification, and more. All these topics are extremely important for the industry called pharmaceutical industry. All the practical aspects of this course make it necessary for the candidates for solving with attention, live projects from industries like Sales, Supply Chain, Trading, Marketing, Construction, Finance, and more.

The Highlights

3 months programme
72 hours online course
Live interactive classes
Weekend sessions are held
Industry-endorsed curriculum
Certificate of completion

Programme Offerings

72 Hours Course
Live Online Course
Industry Experts Teaching
Industry Endorsed Curriculum
Lectures
Recordings
Projects
placement assistance

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	Indian Statistical Institute, Pune

The PG Program in Molecular Modelling and Drug Designing certification is Rs. 1,00,000 plus GST charges.

PG Program in Molecular Modelling and Drug Designing Fee Structure

Description	Amount
Programme Fee	Rs. 1,00,000 + GST

Eligibility Criteria

Educational Qualification

Graduates who have freshly graduated with 50% marks are allowed.
People who are postgraduates research scholars are allowed.

Work Experience

The people shall be preferred if they have some experience in the backgrounds like bioinformatics, pharmaceutical or chemical industries.

Certification Qualifying Details

PG Program in Molecular Modelling and Drug Designing certification by Indian Statistical Institute, Pune, and Edu Plus Now shall be issued if the candidate successfully gets through with the syllabus in the course.

What you will learn

Knowledge of Microbiology

The different topics of the PG Program in Molecular Modelling and Drug Designing certification syllabus are tools for biology modeling, molecular modeling, homology, molecular dynamic simulation, and much more.

Who it is for

Here are those who shall be preferred for enrollment:

People interested in molecular modelling projects contribution.
People who have become fresh graduates with a score of 50% or more.
Chemical, pharmaceutical, bioinformatics, and biological industry professionals.
Teaching faculties, and also scholars researching in the above industries are allowed.

Admission Details

Here are the PG Program in Molecular Modelling and Drug Designing admission details:

Step 1: Visit the official website: https://www.eduplusnow.com/course-details/pg-program-in-molecular-modelling-and-drug-designing.

Step 2: On the website, find the ‘Enroll Now’ button, and click it.

Step 3: Next comes filling up a registration form with small details.

Step 4: Then payment of the programme fee is the fourth step.

Step 5: Finally the participants will get secured admission after the fee is paid.

The Syllabus

Introduction to drug discovery.
Small molecule.
Molecular file format.
(SDF, SMILES, PDB, MOL, MOL2, XYZ, PDBQT, etc.)
Drug and promising molecules.
Role of computers in drug discovery.
The basic concept of ligand-based drug design.
Basic concept of structure-based drug design.

Concept of small molecular datasets.
Concept of biological activity.
Basic introduction of chemometric methods.
- Multiple Linear Regression
- Partial Least-Square Genetic algorithm
- Principal Component Analysis.
Introduction of training and test sets.
1.QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP (QSAR)
Concept of QSAR.
History of QSAR.
Objectives of QSAR.
QSAR and regulatory perspectives.
Molecular descriptors
- 2D-Descriptors
- 3D-Descriptors
- 4D-Descriptors
- Topological Descriptors
1.1.TWO-DIMENSIONAL QSAR (2D-QSAR)
- Free-Wilson model.
- Fujita-Ban model.
- LFER Approach of Hansch model.
- The Mixed Approach.
- Application of 2D-QSAR models.
- Design of new molecules from 2D-QSAR
1.2.THREE-DIMENSIONAL QSAR (3D-QSAR)
- Basic concept of 3D-QSAR.
- 3D-Descriptors.
- 3D-QSAR chemometric methods.
- Concept of 3D molecular fields.
- 3D-QSAR methodologies.
- Application of 3D-QSAR models.
- Design of new molecules from 3D-QSAR
2.PHARMACOPHORE SPACE MODELLING
- Introduction to pharmacophore.
- Pharmacophoric features.
- Training and test sets for pharmacophore.
- Pharmacophore algorithms.
- Pharmacophore model optimization.
- Application of pharmacophore models.
- Design of new molecules from pharmacophore models.

Introduction to receptor-based drug design.
Concept of macromolecular target.
Concept of active site.
Macromolecule preparation.
Small molecule preparation
1.MOLECULAR DOCKING Introduction of molecular docking.
Introduction of rigid docking.
Introduction of flexible docking.
Types of moleculardocking. Macromolecule-small molecule docking.
- Protein-ligand docking.
- DNA-ligand docking.
- Macromolecule-macromolecule docking. Protein-protein docking.
- Protein-DNA docking.
- DNA-DNA docking.
- Concept of grid.
- Concept of the pose.
- Concept of dock score.
- Selection of correct pose
- Binding interactions analysis.
- Validation of docking protocols.
- Application of molecular docking.
- Generation new chemical components from molecular
- docking.

Introduction to virtual screening.
Virtual screening and high-throughput screening(HTS).
Importance of virtual screening.
Introduction to small molecular databases.
Asinex | ZINC | Maybridge | Mcule | Enamine | PubChem | NCI
Concept of hits.
Concept of screening criteria.
Concept of hits to lead.
1.LIGAND-BASED VIRTUAL SCREENING
Screening molecular databases based of 2D-QSAR.
Screening molecular databases based of 3D-QSAR.
Screening molecular databases based of pharmacophore model.
2.STRUCTURE-BASED VIRTUAL SCREENING
Molecular docking of large chemical databases.
Setup of screening criteria.
Best molecule selection.

Introduction to de novo drug design.
De novo design algorithms.
Steps of de novo design.
Final molecules selections through de novo design.
Differentiate between de novo design and virtual screening.

Introduction to artificial intelligence.
Introduction to machine learning approaches.
Application of machine learning approaches in drug discovery.

Collection of molecular datasets from literature and databases.
Generation of 2D-descriptors.
Normalization of molecular descriptors.
Development of 2D-QSAR models.
Validation of 2D-QSAR models.
Internal validation | Test set validation | Cross-validation
Interpretation of 2D-QSAR model.

Collection of molecular datasets from literature and databases.
Generation of molecular fields.
Development of 3D-QSAR models.
Validation of 3D-QSAR models.
Internal validation | Test set validation | Cross-validation
Interpretation of 3D-QSAR model.

Collection of molecular datasets from literature and databases.
Exploration of pharmacophoric features.
Development of pharmacophore models.
Validation of pharmacophore models.
Interpretation of pharmacophore models.

Collection of target molecules from Protein Data Bank (PDB).
Repair and preparation of molecular target.
Preparation of ligands.
Active site identification.
Co-crystal ligand. - Pocket identification using several tools. Grid generation.
Molecular docking.
Analysis of molecular docking.
Binding interactions analysis.
Optimization of the best-docked pose.