CAREER: Machine Learning Algorithms for Tackling Annotation Inequality in Protein Function — NSF Award to Georgia Tech Research Co
Much of life science research is centered on understanding the functional roles of proteins. However, most scientific attention has historically focused on a limited set of increasingly well-known proteins, while the biological functions of the vast majority remain largely unknown, leading to an “annotation inequality”
| Award title | CAREER: Machine Learning Algorithms for Tackling Annotation Inequality in Protein Function |
|---|---|
| Award ID | 2442063 |
| Awardee | Georgia Tech Research Corporation |
| City | ATLANTA |
| State | GA |
| Amount obligated | $298,251 |
| Principal investigator | Yunan Luo |
| Program | Innovation: Bioinformatics |
| Start date | 09/01/2025 |
| Abstract | Much of life science research is centered on understanding the functional roles of proteins. However, most scientific attention has historically focused on a limited set of increasingly well-known proteins, while the biological functions of the vast majority remain largely unknown, leading to an “annotation inequality” that biases our understanding of protein functions. This project aims to advance protein function annotation by developing artificial intelligence (AI) and machine learning (ML) m |
| Source | NSF Awards |
$799/mo
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