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Artificial Intelligence (AI) Breakthrough

PathGennie Software

Why in the News?

The Ministry of Science and Technology has announced the development of PathGennie, a new open-source computational software that can significantly speed up drug discovery by accurately simulating drug–protein unbinding, a crucial step in understanding drug efficacy and safety.

What is PathGennie?

  • PathGennie is an open-source computational framework designed to simulate rare molecular events, especially the unbinding of drugs from protein targets.
  • It helps in predicting drug residence time, a key parameter that determines how long a drug remains effective inside the body.
  • It avoids artificial distortions commonly introduced in conventional simulation methods.

Developed by

  • Scientists at the S. N. Bose National Centre for Basic Sciences, Kolkata.

Aim of PathGennie

  • To overcome the limitations of traditional molecular dynamics simulations, which struggle to capture slow and rare molecular transitions.
  • To generate physically accurate pathways for drug–protein interactions.
  • To reduce computational time and cost without compromising accuracy.

Applications

  • Predicts accurate drug unbinding pathways and residence times
    • Example: Imatinib with Abl kinase
  • Improves understanding of protein–ligand kinetics for better drug design
  • Applicable beyond drug discovery in: Chemical reactions, Catalysis, Phase transitions and Molecular self-assembly

Prelims Pointers

  • PathGennie is open-source and computational in nature
  • Focuses on drug unbinding, not just binding
  • Helps estimate drug residence time, a key pharmacological parameter
  • Avoids artificial bias unlike conventional simulation techniques
  • Developed in India under the Ministry of Science and Technology
[2022] Consider the following: 

1. Aarogya Setu 

2. CoWIN 

3. DigiLocker 

4. DIKSHA. 

Which of the above are built on top of open-source digital platforms? 

(a) 1 and 2 only (b) 2, 3 and 4 only (c) 1, 3 and 4 only (d) 1, 2, 3 and 4

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