AptaBind AI: Using Artificial Intelligence to predict aptamer target binding.
CWSF · 2026 Curiosity & Ingenuity Silver Medal
Overview
My projects started because I wanted to help my dad, who has celiac disease. While learning about gluten detection, I discovered aptamers which are tiny pieces of DNA that can stick to specific targets like a key that fits a lock. Finding the right aptamer usually takes a lot of time, money, and lab testing. So, I created a simple computational tool to help predict which DNA sequences might work best before testing them. My model looks at things like how long the DNA is, what it's made of and certain patterns. It then gives each sequence a score to show how likely it is to work. This can help scientists save time and focus on the most promising options.
Awards (3)
- Challenge Award
- Silver Medal
- Selected for CWSF 2026
Competition history
- CWSF 2026
Related projects
CWSF · 2026
APTAi: De Novo Aptamer Design for Proteomic Biomarker Detection Using a Physics-Informed AI Model
ISEF · 2021
Computer-Based miRNA Predictions to Inhibit SARS-Cov-2 Replication
ISEF · 2016
Protein Interface Targeted Aptamers Screened Using Competitive Selection
ISEF · 2025
TETRA-C: Accelerating Cancer Therapy Through AI-Optimized Telomerase Inhibition, Enzymatic Targeting, and the Suppression of Metastasis
Closest projects by meaning, across every fair and year in the corpus.