Prediction of Protein Secondary Structures Based on Substructural Descriptors of Molecular Fragments
Oleg S. Zakharov, Anastasia V. Rudik, Dmitry A. Filimonov, Alexey A. Lagunin · 2024
Read Prediction of Protein Secondary Structures Based on Substructural Descriptors of Molecular Fragments by Oleg S. Zakharov, Anastasia V. Rudik, Dmitry A. Filimonov, Alexey A. Lagunin (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11641695.txt.
Description
Oleg Zakharov and co-authors predict protein shapes from the fragments they are built of, in this 2024 paper. A protein's secondary structure is its local pattern of coils and sheets. Guessing that pattern from sequence stays a core challenge in bioinformatics.
Their method describes each fragment by the neighborhoods of its atoms. A huge training set came from solved structures in the Protein Data Bank. Hundreds of thousands of labeled pieces were drawn from tens of thousands of proteins. Fragment descriptors feed the prediction model instead of raw letters alone. Chemical context may capture what sequence letters miss. Better shape guesses speed drug and enzyme design work.
Catalog record
| CREATOR | Oleg S. Zakharov, Anastasia V. Rudik, Dmitry A. Filimonov, Alexey A. Lagunin |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 38 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |