A Generalized Attraction-Repulsion Potential and Revisited Fragment Library Improves PEP-FOLD Peptide Structure Prediction
Fast and accurate structure prediction is essential to the study of peptide function, molecular targets, and interactions and has been the subject of considerable efforts in the past decade. In this work, we present improvements to the popular simplified PEP-FOLD technique for small peptide structur...
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| Published in: | Journal of chemical theory and computation Vol. 18; no. 4; p. 2720 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
United States
12.04.2022
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| Subjects: | |
| ISSN: | 1549-9626, 1549-9626 |
| Online Access: | Get more information |
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