Webinar Recording Available All Levels Dr. Omics

Machine Learning Meets CADD: Accelerating Drug Discovery in the AI Era – From Hit Identification to Lead Optimization.

Machine Learning Meets CADD: Accelerating Drug Discovery in the AI Era – From Hit Identification to Lead Optimization.

  • 4.0/5
  • English
  • Updated Aug 2026
Machine Learning Meets CADD: Accelerating Drug Discovery in the AI Era – From Hit Identification to Lead Optimization.

About this course

The "Machine Learning Meets CADD" online webinar is an advanced computational chemistry masterclass hosted by Dr. Omics Edu. This technical training bridges the gap between traditional Computer-Aided Drug Design (CADD) algorithms and modern artificial intelligence capabilities. Participants will learn how to deploy deep learning architectures to expedite the modern drug discovery pipeline significantly. The structured curriculum provides direct insight into accelerating target protein mapping, virtual screening, and predictive pharmacology models. Attendees will examine structural methods to transition effectively from high-throughput hit identification to precise chemical lead optimization. Led by senior bioinformatics experts, this educational program directly addresses modern structural bottlenecks in molecular modeling and design. Key industry trends, including deep neural network validation for ADMET profiling and binding affinity estimation, are deeply explored. Ultimately, this specialized course functions as a critical roadmap for life science researchers transitioning into modern, AI-powered pharmaceutical R&D environments.

What you will learn

How to combine traditional computer-aided drug design (CADD) paradigms with modern artificial intelligence.
Advanced deep learning methodologies for processing molecular structures and predicting target protein bindings.
Cutting-edge machine learning computational pipelines to fast-track active hit identification protocols.
Practical data science workflows required to optimize chemical leads for superior metabolic and toxicity profiles.
Standard validation strategies used to simulate molecular interactions and evaluate automated drug designs.

Skills you will gain

CADD Machine-Learning Cheminformatics AI-Modeling Virtual-Screening Lead-Optimization Pharmacodynamics Bio-IT
Certification

Available

Issued by Dr. Omics

Course curriculum

1 module

  • Introduction to data science, artificial intelligence models, and structural pharmacology in modern therapeutic pipelines.
  • Algorithmic methods for target protein characterization, computational pocket mapping, and molecular asset preparation.
  • Applying machine learning algorithms to high-throughput virtual screening for accelerated hit identification.
  • Mathematical parameter mapping and structural chemical modification workflows for automated lead optimization.
  • Future horizons in AI-driven de novo drug design, real-world case studies, and scalable cloud architectures.

What you need to start

  • Conceptual familiarity with molecular biology, general chemistry principles, or fundamental protein structures.
  • Basic understanding of structural biochemistry, pharmacology, or computer-aided research methodologies.
  • No prior software development or advanced coding background is required to attend this foundational masterclass.

Who this course is for

  • This computational training is specifically curated for medicinal chemists, computational biologists, pharmacogenomics data analysts, structural biologists, pharmaceutical industry professionals, and postgraduate scholars aiming to master AI applications in biotechnology.
INR

₹199

₹999 80% off
USD

$5

$20 75% off

Indian learners pay in INR; international learners are billed in USD.

Enroll for International Students

Paying from outside India? Use this link to complete your payment.

This course includes
  • Format Recording Available
  • Level All Levels
  • Language English
  • Modules 1
  • Access 3 months
  • Certificate Yes
  • Provider Dr. Omics
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