NIH-funded research NIH-funded research

AI-guided molecular simulations to design better medicines

Official title: From atoms to mechanisms - Artificial Intelligence augmented molecular simulations for mechanistic ligand design

Funded at Univ of Maryland, College Park · NIH-11376346 · Data updated 2026-11-12

This project uses AI-enhanced computer simulations to design drugs that account for changing protein shapes, aiming to help people who need more precise targeted medicines like some cancer patients.

Quick facts

Grant typeNIH-funded research
Study typeNIH-funded research
Funding institutionUniv of Maryland, College Park
NIH-funded
Lab location1 site (College Park, United States)
Project startSeptember 18, 2021
Project endAugust 31, 2026
Funding year2025
Award (this year)$19,454
NIH project number3R35GM142719-05S1
Project IDNIH-11376346 on NIH RePORTER

Who could benefit from this research

Could help

People with conditions driven by tyrosine kinase dysfunction (for example certain types of cancer) would be most likely to benefit or be future candidates for therapies developed from this work.

Less likely to help

Patients with conditions unrelated to protein-targeted drugs or those needing immediate clinical treatments are unlikely to receive direct benefits from this computational research in the short term.

What this research studies

Researchers run AI-integrated molecular dynamics simulations to watch how disease-related proteins move and change shape over time. They combine ideas from statistical mechanics, advanced sampling algorithms, and AI methods adapted from neural information processing and natural language processing to capture rare events such as drug unbinding and conformational shifts. The team focuses on designing inhibitors for tyrosine kinases and studying model riboswitches to learn mechanistic rules that can be applied broadly. The goal is to automate and scale these methods so they can speed up discovery of better drug candidates.

Why it matters

Potential benefit: If successful, this work could accelerate discovery of more effective, longer-lasting, and more selective drugs for diseases driven by proteins like tyrosine kinases.

How similar studies have gone: Traditional structure-based computer-aided drug design has led to approved medicines, but combining AI with dynamic molecular simulations for mechanistic ligand design is relatively new and still exploratory.

Where this research is happening

  • Univ of Maryland, College Park
    College Park, United States
    Active

Researchers

  • Principal investigator: Tiwary, Pratyush — Univ of Maryland, College Park
  • Study coordinator: Tiwary, Pratyush

Related research

Other NIH-funded projects on the same topics.

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.