Live Industrial Program

Advanced Drug Designing: Traditional and In Silico

Designing Tomorrow’s Therapeutics Today

Early access to the e-LMS platform is included

Mode: Online/ e-LMS
Type: Mentor Based
Level: Advanced
Duration: 1 Month

About This Course

Drug Designing: Traditional and In Silico program offer a comprehensive exploration of the multifaceted process of drug discovery and development. These program blend traditional methods of drug design, involving chemical synthesis and experimental testing, with state-of-the-art computational approaches. Students delve into fundamental concepts of medicinal chemistry, pharmacology, and molecular biology, gaining insight into the principles governing drug-target interactions and structure-activity relationships. Moreover, the courses provide practical training in computational drug design techniques such as molecular docking, pharmacophore modeling, and quantitative structure-activity relationship (QSAR) analysis. Through a combination of theoretical learning and hands-on experience, students develop the skills necessary to design and optimize novel pharmaceutical agents, bridging the gap between traditional laboratory experimentation and cutting-edge computational modeling in drug discovery. This interdisciplinary approach equips graduates with the expertise needed to contribute to the development of new drugs and therapeutic strategies in the pharmaceutical and biotechnology industries.

Aim

The aim of “Drug Designing: Traditional and In Silico” is to equip students with the knowledge and skills to integrate traditional medicinal chemistry methods with advanced computational techniques for the discovery and optimization of novel pharmaceutical agents. By understanding the principles underlying both approaches, students are prepared to contribute to the development of innovative therapies, addressing unmet medical needs and advancing drug discovery efforts.

Program Objectives

Provide a comprehensive understanding of traditional medicinal chemistry methods used in drug discovery.
Introduce students to advanced computational techniques for in silico drug design and screening.
Explore the principles of molecular docking, pharmacophore modeling, and quantitative structure-activity relationship (QSAR) analysis.
Familiarize students with the process of target identification and validation in drug discovery.
Develop practical skills in designing, synthesizing, and optimizing lead compounds using both traditional and computational approaches.
Equip students with the ability to assess the pharmacokinetic and toxicity profiles of potential drug candidates through virtual ADME-Tox assessment.
Foster critical thinking and problem-solving skills in evaluating and prioritizing lead compounds for further preclinical and clinical development.
Encourage interdisciplinary collaboration and communication among students from diverse backgrounds in pharmaceutical sciences, chemistry, and computational biology.

Program Structure

Introduction of Drug Designing
Methods: Traditional and In Silico
Computer-Aided Drug Designing and its types
Applications and its Modern Aspects
Project Report Submission/ Article Writing

Who Should Enrol?

Pharmaceutical scientists, biotechnology professionals, academic researchers and students, healthcare professionals, IT and data science professionals in the domains of drug design, pharmacology, biotechnology, and computational biology.

Program Outcomes

Gain comprehensive knowledge of both traditional and computational drug design methods.
Develop expertise in molecular docking, pharmacophore modeling, and QSAR analysis.
Acquire hands-on experience with drug synthesis, optimization, and ADME-Tox assessments.
Be adept at using cutting-edge software and tools for in silico drug design.
Enhance problem-solving skills applicable to real-world drug development challenges.
Be prepared for advanced roles in pharmaceutical and biotechnology sectors.

Fee Structure

~~Standard: ₹29,998 | $640~~

Discounted: ₹14999 | $320

We accept 20+ global currencies. View list →

What You’ll Gain

Full access to e-LMS
Real-world dry lab projects
One-on-one project guidance
Publication opportunity
Self-assessment & final exam
e-Certificate & e-Marksheet

Need Help?

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(+91) 120-4781-217

★★★★★

Cancer Drug Discovery: Creating Cancer Therapies

Undoubtedly, the professor's expertise was evident, and their ability to cover a vast amount of material within the given timeframe was impressive. However, the pace at which the content was presented made it challenging for some attendees, including myself, to fully grasp and absorb the information.

Mario Rigo • November 30, 2023 at 5:18 pm