Creating advanced biosensors to track protein modifications

Machine-Learning Aided Design of Avidity-Based Biosensors of Ubiquitin Signaling

['FUNDING_R01'] · COLORADO STATE UNIVERSITY · NIH-11081023

This study is working on creating smart sensors that can track important changes in proteins related to diseases like cancer, helping researchers understand how these proteins behave in real-time, which could lead to better treatments for patients.

Quick facts

Phase['FUNDING_R01']
Study typeNih_funding
SexAll
SponsorCOLORADO STATE UNIVERSITY (nih funded)
Locations1 site (FORT COLLINS, UNITED STATES)
Trial IDNIH-11081023 on ClinicalTrials.gov

What this research studies

This research focuses on developing innovative biosensors that can monitor specific changes in proteins, particularly those modified by ubiquitin. By utilizing machine-learning techniques, the team aims to design sensors that can detect and analyze the dynamics and abundance of these modifications in real-time. The project will involve engineering proteins to enhance their ability to bind to target molecules, making it easier to study complex biological processes. Patients may benefit from improved understanding of protein signaling related to various diseases, including cancer.

Who could benefit from this research

Good fit: Ideal candidates for this research are individuals with conditions related to protein signaling abnormalities, such as certain cancers.

Not a fit: Patients with conditions unrelated to protein modifications or those not requiring advanced biosensor technology may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to better diagnostic tools and treatments for diseases linked to protein modifications.

How similar studies have performed: Previous research has shown promise in using biosensors for monitoring protein modifications, indicating a potential for success with this novel approach.

Where this research is happening

FORT COLLINS, 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.

View on NIH RePORTER →

Last reviewed 2026-05-15 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.