Koo, Peter K, Dallago, Christian, Nambiar, Ananthan, Yang, Kevin K (May 2025) Machine Learning for Protein Science and Engineering. Cold Spring Harbor Perspectives in Biology. a041877-a041877. ISSN 1943-0264
Abstract
Recent years have seen significant breakthroughs at the intersection of machine learning and protein science. Tools such as AlphaFold have revolutionized protein structure prediction. They are also enabling variant effect prediction and functional annotation of proteins, as well as opening up new possibilities for protein design. However, these technological advances must be balanced with sustainable computing practices.
| Item Type: | Paper |
|---|---|
| Subjects: | bioinformatics bioinformatics > genomics and proteomics bioinformatics > computational biology > algorithms bioinformatics > computational biology |
| CSHL Authors: | |
| Communities: | CSHL labs > Koo Lab |
| SWORD Depositor: | CSHL Elements |
| Depositing User: | CSHL Elements |
| Date: | 5 May 2025 |
| Date Deposited: | 12 May 2025 12:12 |
| Last Modified: | 12 May 2025 12:12 |
| Related URLs: | |
| URI: | https://repository.cshl.edu/id/eprint/41867 |
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