Creating targeted cancer treatments using advanced computer modeling

Designing selective kinase inhibitors via deep learning

NIH-funded research Research Inst of Fox Chase Can Ctr · NIH-10983751

This study is working on creating new medicines that can better target proteins involved in cancer, using advanced computer techniques to understand how these medicines interact with those proteins, which could lead to more effective treatments for cancer patients.

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionResearch Inst of Fox Chase Can Ctr NIH-funded
Lab location1 site (Philadelphia, United States)
Project IDNIH-10983751 on NIH RePORTER

What this research studies

This research focuses on developing selective kinase inhibitors, which are crucial for understanding cancer biology. By utilizing deep learning techniques, the project aims to create accurate 3D models of how these inhibitors interact with kinases, which are proteins involved in cancer progression. The researchers will build large libraries of new chemical compounds that can potentially bind more effectively to specific kinases, improving the selectivity of cancer treatments. This approach not only seeks to enhance existing chemical probes but also aims to discover new ones that can be used in cancer research and therapy.

Who could benefit from this research

Good fit: Ideal candidates for this research are patients with specific types of cancer that are known to be influenced by kinase activity.

Not a fit: Patients with cancers that do not involve kinase pathways may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to more effective and targeted cancer therapies with fewer side effects.

How similar studies have performed: Previous research has shown promise in using computational methods to develop targeted therapies, indicating a potential for success in this novel approach.

Where this research is happening

Philadelphia, United States

Researchers

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 below.
Last reviewed 2026-06-09 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.