Developing software to design better antibodies for treating diseases

Rapid structure-based software to enhance antibody affinity and developability for high-throughput screening: Aiming toward total in silico design of antibodies

NIH-funded research Dnastar, INC. · NIH-11072991

This study is working on new software that helps scientists design better medicines called monoclonal antibodies, making it faster and cheaper to find the best treatments for patients.

Quick facts

Grant typeSbir 2 grant
Study typeNIH-funded research
Funding institutionDnastar, INC. NIH-funded
Lab location1 site (Madison, United States)
Project IDNIH-11072991 on NIH RePORTER

What this research studies

This research focuses on creating advanced software that uses computational methods to enhance the design of therapeutic monoclonal antibodies. By improving the prediction of how antibodies interact with specific proteins, the project aims to speed up the drug development process and reduce costs. The software will help identify the most effective antibodies early in the development phase, allowing researchers to concentrate on the best candidates. This innovative approach leverages artificial intelligence and advanced algorithms to transform antibodies with lower binding affinities into those with significantly higher affinities.

Who could benefit from this research

Good fit: Ideal candidates for this research are individuals with conditions that could be treated with monoclonal antibodies, including autoimmune diseases and infections caused by the novel coronavirus.

Not a fit: Patients who do not have conditions treatable by monoclonal antibodies may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to faster and more effective treatments for diseases by improving the development of therapeutic antibodies.

How similar studies have performed: Other research has shown promise in using computational methods for antibody design, indicating that this approach could lead to significant advancements in the field.

Where this research is happening

Madison, 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.