This National Science Foundation project grant of $248,782 awarded on March 15, 2022 will fund the development of computational tools and a database for understanding intrinsically disordered protein-protein and protein-nucleic acid interactions through February 28, 2025. Funded under the Biological Sciences program (CFDA 47.074), Purdue University will create three interlocking computational methods at the 1D, 2D, and 3D levels to advance prediction and modeling of tertiary structures for interactions involving intrinsically disordered regions. At the 1D level, deep learning models will predict protein and nucleotide binding regions within disordered sequences with high accuracy. The 2D level will integrate identification of partner molecules for these regions. Structure modeling through innovative docking between disordered regions and partner proteins and nucleotides will occur at the 3D level. The resulting tools and data will be made available to the research community through a web-based database and open source repositories, advancing the structural bioinformatics field.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $248.8k | 3/7/22 |