BioDock AI wins Rep. Lucy McBath’s 2024 Congressional App Challenge in Georgia’s Seventh District

When asked what inspired the creation of BioDock AI, the student said, “The inspiration for creating this app began during the COVID-19 pandemic when I was captivated by the rapid development of vaccines. I was curious about the intricate processes scientists used to identify which compounds effectively fought the virus and how they selected specific molecules for different drugs. This curiosity sparked a deeper interest in the drug discovery process, making me realize the profound impact that understanding these compounds could have on public health.

At that time, I was already passionate about computer science, which I viewed as a powerful tool for solving complex problems. As I learned more about coding and software development, I envisioned how technology could significantly enhance the efficiency of drug discovery. The idea of merging my interest in chemistry and biology with computer science felt like a natural progression, prompting me to think about how I could contribute to this vital field.

Fast forward to this year, my exploration of computer science intensified, particularly in the realm of artificial intelligence and algorithms. I delved into machine learning and data analysis, fascinated by how these technologies could analyze vast amounts of data and uncover patterns that might be overlooked by traditional methods. As I gained more knowledge and skills in AI, I remembered my thoughts from 2020 about the complexities of drug discovery and felt a renewed motivation to integrate both disciplines.

With this foundation, I set out to develop a web app that harnesses AI to facilitate drug discovery. By incorporating machine learning algorithms, I aimed to predict the effectiveness of various compounds in inhibiting specific proteins such as ALK, a significant target in cancer research. I wanted to create a platform that not only visualizes molecular structures but also provides real-time predictions of bioactivity, ultimately allowing researchers to make informed decisions more quickly and effectively.

In essence, my journey from curiosity during the pandemic to a focused exploration of computer science and AI has culminated in the development of this app. I believe it represents the convergence of technology and biology, showcasing how innovative approaches can revolutionize the way we discover and develop new drugs for the future.”