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Instructor Name

Dr.Omics

Category

Internships

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Course Requirements

  • Motivation to Learn: A strong desire to engage with and understand the material.
  • Basic Knowledge: Familiarity with biology and molecular biology concepts.
  • Interest in Technology: Eagerness to learn about the latest technologies in Next-Generation Sequencing (NGS).
  • Software: Free software will be utilized, so no additional software purchases are necessary.
  • Hardware: A laptop with a minimum of 4GB RAM and 100GB of hard disk space.

Course Description

  • R Programming and Bioconductor: Master R for bioinformatics, including basic functions, control statements, and Bioconductor tools.
  • Computer-Aided Drug Design (CADD):Understand drug discovery, visualize chemical structures, and perform molecular modeling and virtual screening.
  • HR Sessions: Develop professional skills in resume building, interview preparation, and career development.

Course Outcomes

  • Master the basics of R programming for bioinformatics applications.
  • Utilize Bioconductor for sequence analysis and data visualization in bioinformatics research.
  • Understand the drug discovery process and the application of computational methods in drug design.
  • Visualize chemical structures and protein-ligand interactions using various molecular visualization tools.
  • Perform virtual screening and molecular modeling techniques to identify potential drug candidates.
  • Enhance career readiness with HR sessions focusing on essential professional skills.

Rules & Regulations

  •  Attendance and Participation: Maintain a minimum of 75% attendance. Regular assessments and attendance contribute to performance evaluation.
  •  Discipline: Maintain punctuality and respect in live classes. Engage actively and interact respectfully with instructors and peers.
  • Course Fee Payment: Pay course fees on time to avoid suspension or cancellation of access.
  • Assignments and Project: Complete assignments and projects sincerely and submit them on time.
  • Feedback and Communication: Maintain open communication with instructors and provide constructive feedback.
  • Certification: A certificate will be awarded upon course completion.

Course Curriculum DOWNLOAD BROCHURE

1 Introduction and Installation of R
1 Hour


2 Data Types in R
1 Hour


3 Data Structure
1 Hour


4 File Handling
1 Hour


5 Control Structure
1 Hour


6 Function
1 Hour


7 Package Management
1 Hour


8 Data Manipulation
1 Hour


9 Data Visualization
1 Hour


10 Statistical Analysis
1 Hour


1 Introduction to Drug Discovery Process
1 Hour


2 Role of Computational Methods
1 Hour


3 Hands-on: Chemical Structure Visualization
1 Hour


4 Biomolecules and Their Properties
1 Hour


5 Structure of Proteins and Ligands
1 Hour


6 Hands-on: Protein Structure Visualization
1 Hour


7 Molecular Visualization Tools
1 Hour


8 Molecular Mechanics and Dynamics Simulations
1 Hour


9 Molecular Mechanics and Dynamics Simulations (continued)
1 Hour


10 Chemical Databases and Data Mining
1 Hour


11 Ligand and Structure-Based Virtual Screening
1 Hour


12 Hands-on: Chemical Data Exploration
1 Hour


13 Advanced Virtual Screening Techniques
1 Hour


14 Virtual Screening using Autodock Vina
1 Hour


15 Principles of Molecular Docking
1 Hour


16 Scoring Functions in Docking
1 Hour


17 Hands-on: Molecular Docking
1 Hour


18 Introduction to Molecular Dynamics
1 Hour


19 Simulation Software (e.g., GROMACS)
1 Hour


20 Hands-on: Analyzing MD Data
1 Hour


21 Chemoinformatics: Data Analysis and Visualization
1 Hour


22 Protein-Ligand Interaction Analysis
1 Hour


23 Hands-on Protein-Ligand Interaction Analysis
1 Hour


24 Pharmacophore Modeling and Applications
1 Hour


25 Chemoinformatics: Data Analysis and Visualization (continued)
1 Hour


26 Structure-Based Drug Design
1 Hour


27 Ligand-Based Drug Design
1 Hour


28 Hands-on Structure-Based and Ligand-Based Drug Design
1 Hour


29 ADMET in Drug Development
1 Hour


30 Course Conclusion
1 Hour


Student Feedback

CADD INTERNSHIP ( 2 MONTHS )

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