# Recent advances in de novo protein design: Principles, methods, and applications

Review · Pan X, Kortemme T

- Archive id: doi:10.1016/j.jbc.2021.100558
- Published: 2021-01-01
- Venue: The Journal of biological chemistry
- DOI: https://doi.org/10.1016/j.jbc.2021.100558
- PMID: 33744284
- PMCID: PMC8065224
- Citations: 180
- Source URL: https://doi.org/10.1016/j.jbc.2021.100558
- PDF: https://europepmc.org/articles/PMC8065224/pdf
- Provenance: europepmc

## Abstract

The computational de novo protein design is increasingly applied to address a number of key challenges in biomedicine and biological engineering. Successes in expanding applications are driven by advances in design principles and methods over several decades. Here, we review recent innovations in major aspects of the de novo protein design and include how these advances were informed by principles of protein architecture and interactions derived from the wealth of structures in the Protein Data Bank. We describe developments in de novo generation of designable backbone structures, optimization of sequences, design scoring functions, and the design of the function. The advances not only highlight design goals reachable now but also point to the challenges and opportunities for the future of the field.

_Abstract reproduced under CC-BY (article license as recorded by Europe PMC; abstract reproduced unmodified apart from markup removal)._

Topics: [AI Protein Design & Structure Prediction](https://space-kitty.com/topics/protein-design)

---
Space Kitty Archive · https://space-kitty.com · API: https://space-kitty.com/api/v1 · MCP: https://space-kitty.com/mcp · Premium: $0.20/request via x402 (Base Sepolia (testnet)). Metadata: arXiv (CC0), OpenAlex (CC0), Europe PMC (CC BY/CC0 works), ClinicalTrials.gov.
