Protocol for Designing De Novo Noncanonical Peptide Binders in OSPREY.
D-peptides, the mirror image of canonical L-peptides, offer numerous biological advantages that make them effective therapeutics. This article details how to use DexDesign, the newest OSPREY-based algorithm, for designing these D-peptides de novo. OSPREY physics-based models precisely mimic energy-equivariant reflection operations, enabling the generation of D-peptide scaffolds from L-peptide templates. Due to the scarcity of D-peptide:L-protein structural data, DexDesign calls a geometric hashing algorithm, Method of Accelerated Search for Tertiary Ensemble Representatives, as a subroutine to produce a synthetic structural dataset. DexDesign enables mixed-chirality designs with a new user interface and also reduces the conformation and sequence search space using three new design techniques: Minimum Flexible Set, Inverse Alanine Scanning, and K*-based Mutational Scanning.
Duke Scholars
Published In
DOI
EISSN
Publication Date
Volume
Issue
Start / End Page
Location
Related Subject Headings
- Software
- Protein Conformation
- Peptides
- Models, Molecular
- Bioinformatics
- Amino Acid Sequence
- Algorithms
- 49 Mathematical sciences
- 46 Information and computing sciences
- 31 Biological sciences
Citation
Published In
DOI
EISSN
Publication Date
Volume
Issue
Start / End Page
Location
Related Subject Headings
- Software
- Protein Conformation
- Peptides
- Models, Molecular
- Bioinformatics
- Amino Acid Sequence
- Algorithms
- 49 Mathematical sciences
- 46 Information and computing sciences
- 31 Biological sciences