Statistical Mechanics of Mutational Ensembles for Adaptive Evolution — NSF Award to Baylor College of Medicine (TX, $1,534,925)
This study aims to uncover which genes encode the specific traits and capabilities of an organism, a central question in biology with applications in bioengineering and biotechnology. The challenge lies in the large number and complexity of interactions among genes, obscuring the role of each in any given trait. This s
| Award title | Statistical Mechanics of Mutational Ensembles for Adaptive Evolution |
|---|---|
| Award ID | 2344149 |
| Awardee | Baylor College of Medicine |
| City | HOUSTON |
| State | TX |
| Amount obligated | $1,534,925 |
| Principal investigator | Olivier Lichtarge |
| Program | Innovation: Bioinformatics |
| Start date | 08/01/2024 |
| Abstract | This study aims to uncover which genes encode the specific traits and capabilities of an organism, a central question in biology with applications in bioengineering and biotechnology. The challenge lies in the large number and complexity of interactions among genes, obscuring the role of each in any given trait. This study addresses this problem through a novel method inspired by physics. We will grow E. coli to undergo many mutations and become resistant to antibiotics, and we will seek to iden |
| Source | NSF Awards |
$799/mo
Try NSFGrants →