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Instructor Name

Dr.Omics

Category

Research Oriented Courses

Reviews

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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

  • Bioinformatics Foundations: Key databases and tools, Linux basics, cloud technology introduction.
  • Computer-Aided Drug Design (CADD): Overview of drug discovery, chemical structure visualization, protein-ligand understanding.
  • Molecular Modeling Techniques: Visualization and simulations using PyMOL, Chimera, or VMD.
  • Chemical Informatics and Virtual Screening: Database exploration, hands-on virtual screening.
  • Machine Learning in Drug Design: Basics with scikit-learn, data preprocessing using Pandas and NumPy.
  • Applications of Machine Learning: Predicting drug interactions, QSAR modeling, SAR analysis.
  • HR Sessions: Resume building, interview prep, career development.

Course Outcomes

  • Understand key bioinformatics databases and tools.
  • Gain proficiency in CADD and chemical structure visualization.
  • Acquire molecular modeling and dynamics simulation skills.
  • Navigate chemical databases and perform virtual screening.
  • Master machine learning techniques for drug design.
  • Apply ML to drug-target interaction prediction and SAR analysis.
  • Enhance professional development with HR sessions.
  • 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 NCBI Database Overview
    1 Hour


    2 Genbank Database Practical Exercises
    1 Hour


    3 UCSC Genome Browser Overview
    1 Hour


    4 UCSC Genome Browser Hands-on Exercises
    1 Hour


    5 Pubmed Database Introduction
    1 Hour


    6 Clinvar Database Overview
    1 Hour


    7 KEGG Database Overview and Exercises
    1 Hour


    8 Protein Databases (UniProt)
    1 Hour


    9 Protein Databases (PDB)
    1 Hour


    10 Online BLAST Introduction and Exercises
    1 Hour


    11 Standalone BLAST Setup and Exercises
    1 Hour


    12 Standalone BLAST Advanced Exercises
    1 Hour


    13 Multiple Sequence Alignment with ClustalW
    1 Hour


    14 Multiple Sequence Alignment with MEGA
    1 Hour


    15 Introduction to Bioinformatics
    1 Hour


    1 Overview and Installation of Linux
    1 Hour


    2 Basic Linux Commands
    1 Hour


    3 Advanced Linux Commands
    1 Hour


    4 Package Management using Repository
    1 Hour


    5 Package Management using Source Code
    1 Hour


    1 Introduction to Python
    1 Hour


    2 Data Types
    1 Hour


    3 String Handling
    1 Hour


    4 Data Structure
    1 Hour


    5 Control Structure
    1 Hour


    6 Function
    1 Hour


    7 File Handling
    1 Hour


    8 Data Manipulation
    1 Hour


    9 Data Visualization
    1 Hour


    10 Biopython
    1 Hour


    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 ands-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 RESEARCH ORIENTED COURSE ( 4 MONTHS )

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