Abstract
Methods for antibody structure prediction rely on sequence homology to experimentally determined structures. Resulting models may be accurate but are often stereochemically strained, limiting their usefulness in modeling and design workflows. We present the AbPredict 2 web-server, which instead of using sequence homology, conducts a Monte Carlo-based search for low-energy combinations of backbone conformations to yield accurate and unstrained antibody structures.
| Original language | English |
|---|---|
| Pages (from-to) | 1591-1593 |
| Number of pages | 3 |
| Journal | Bioinformatics |
| Volume | 35 |
| Issue number | 9 |
| Early online date | 20 Sep 2018 |
| DOIs | |
| State | Published - 1 May 2019 |
ASJC Scopus subject areas
- Statistics and Probability
- Biochemistry
- Molecular Biology
- Computer Science Applications
- Computational Theory and Mathematics
- Computational Mathematics
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