Client: A Pharma Company in Pune, India

Objective: Accelerate the identification of novel antibiotic compounds using machine learning models.

Outcome: Successfully identified a promising lead molecule, now in advanced clinical trials.

Challenge:

The client aimed to discover novel antimicrobial compounds targeting multi-drug resistant bacterial pathogens. They faced significant limitations in traditional laboratory screening, including high costs and slow timelines.

Our Solution:

• Implemented advanced AI/ML-based virtual screening protocols.
• Employed molecular docking and molecular dynamics simulations.
• Screened over 1 million compounds from commercial and proprietary libraries.
• Shortlisted promising candidates using advanced predictive algorithms

Outcome: