Computer-Aided Drug Design And Discovery

Pioneering the Future of Pharmaceutical Innovation

What you'll learn

Accelerated Drug Discovery: Master the art of predicting molecular interactions, significantly expediting drug discovery timelines.

Cost and Time Efficiency: Save resources by optimizing the drug development process through computational analysis.

Precision and Accuracy: Learn to design targeted therapeutic agents with exceptional precision and accuracy.

Innovation at the Forefront: Be at the forefront of shaping the future of pharmaceuticals by amalgamating technology and science.

Requirements

Foundational Background: A bachelor's degree in chemistry, biology, or related fields provides a strong foundation. Programming Proficiency: Basic programming skills are advantageous for mastering computational tools. Passion for Innovation: A drive to revolutionize healthcare through scientific discovery is crucial.

Description

Welcome to the forefront of pharmaceutical innovation with Computer-Aided Drug Design and Discovery. Our comprehensive program marries cutting-edge technology with life sciences, equipping learners to revolutionize drug development. By seamlessly integrating computational techniques with pharmaceutical knowledge, we empower you to make groundbreaking contributions to healthcare and therapeutics.Benefits of Learning: Embarking on our Computer-Aided Drug Design and Discovery program offers an array of benefits:Accelerated Drug Discovery: Master the art of predicting molecular interactions, significantly expediting drug discovery timelines.Cost and Time Efficiency: Save resources by optimizing the drug development process through computational analysis.Precision and Accuracy: Learn to design targeted therapeutic agents with exceptional precision and accuracy.Innovation at the Forefront: Be at the forefront of shaping the future of pharmaceuticals by amalgamating technology and science.Who Can Learn: Our program is tailored for diverse individuals, including:Pharmaceutical Professionals: Enhance your expertise by integrating computational tools into your drug development process.Chemists and Biotechnologists: Learn to harness the power of data-driven drug design to create novel pharmaceutical solutions.Computer Scientists: Explore the realm of drug discovery by applying your programming skills to life-saving innovations.Career Scope: The possibilities are vast upon completing our program:Computational Chemist: Contribute to drug development in pharmaceutical and biotech companies.Research Scientist: Propel drug discovery forward in academia and research institutions.Regulatory Affairs Specialist: Evaluate drug safety and efficacy in regulatory bodies worldwide.Salary Package with Job Roles in India and Abroad: Experience lucrative compensation based on roles and regions:India: Entry-level: 6 - 10 lakhs p.a. / Experienced: 15 lakhs p.a.Abroad: Varied regions such as the US, UK, and Canada offer packages exceeding 80,000 dollars annually, commensurate with experience and expertise.Requirements To Study: Begin your journey armed with these prerequisites:Foundational Background: A bachelor's degree in chemistry, biology, or related fields provides a strong foundation.Programming Proficiency: Basic programming skills are advantageous for mastering computational tools.Passion for Innovation: A drive to revolutionize healthcare through scientific discovery is crucial.Key Features: Explore the distinctive facets of our program:Advanced Curriculum: Delve into molecular modeling, virtual screening, and structure-based drug design.Practical Training: Gain hands-on experience with industry-standard software for real-world applications.Expert Faculty: Learn from seasoned professionals and researchers deeply entrenched in the field.

Overview

Section 1: Module 1

Lecture 1 Introduction of Drugs Part 1

Lecture 2 Introduction of Drugs Discovery Part 2

Lecture 3 History of Computer Aided Drug Discovery Part 3

Lecture 4 Disease Mechanisms Part 4

Lecture 5 Drug Mechanisms Part 5

Lecture 6 Properties of Drug Part 6

Lecture 7 Structure Based Drug Design Part 7

Lecture 8 Target Selection Part 8

Lecture 9 Library Generation Part 9

Lecture 10 Virtual Screeing Part 10

Lecture 11 Docking Screeing Part 11

Lecture 12 Types of Resources Used Part 12

Lecture 13 Drug Market Part 13

Section 2: Module 2

Lecture 14 Molecular Structures Part 1

Lecture 15 Represent Structure Part 2

Lecture 16 Common Molecular File Formats Part 3

Lecture 17 Common Operation on Structures Part 4

Lecture 18 Principal Part 5

Lecture 19 Create Structers on MarvinSketch Part 6

Lecture 20 Create Structers on MarvinSketch Part 7

Section 3: Module 3

Lecture 21 Compound Libraries Part 1

Lecture 22 Chemical Universe Part 2

Lecture 23 Create Structers on MarvinSketch Part 3

Lecture 24 Purpose Part 4

Lecture 25 Types of Libeary Part 5

Lecture 26 Fragment Libraries Part 6

Lecture 27 Combinatorial Libraries Part 7

Lecture 28 Reaction Based Enumeration Part 8

Lecture 29 Virtual Library Design Workflow Part 9

Lecture 30 PubChem Database Part 10

Lecture 31 PubChem Database Part 11

Lecture 32 PubChem Database Part 12

Section 4: Module 4

Lecture 33 Smilib v2.0 Software - Create Your Own Combinatorial Library Part 1

Lecture 34 Virtual Screening Part 2

Lecture 35 Drug Likeness - Lipinski's Rule Part 3

Lecture 36 Other Ways To Screen Compound Libraries Part 4

Lecture 37 Drug Likeness Tool Part 5

Lecture 38 ADME T Properties Part 6

Lecture 39 Interplaay of Properties Part 7

Lecture 40 SwissADME Software Part 8

Section 5: Module 5

Lecture 41 Premise Part 1

Lecture 42 Drug Target Identification Part 2

Lecture 43 Druggable Proteome Part 3

Lecture 44 Swiss Target Prediction Part 4

Lecture 45 Therapeutic Target Database Part 5

Lecture 46 Therapeutic Target Database Part 6

Lecture 47 Structural Bioinformalites Part 7

Lecture 48 Biomolecular Structures Part 8

Lecture 49 Why Protein Structure is Important Part 9

Lecture 50 Level of Protein Structure Part 10

Pharmaceutical Professionals: Enhance your expertise by integrating computational tools into your drug development process. Chemists and Biotechnologists: Learn to harness the power of data-driven drug design to create novel pharmaceutical solutions. Computer Scientists: Explore the realm of drug discovery by applying your programming skills to life-saving innovations.