Citation

If you use synth-pdb in your research, please cite it using the following:

BibTeX

@software{elkins2026synthpdb,
  author = {Elkins, George},
  title = {synth-pdb: High-Performance Protein Structure Generator for AI/ML and Education},
  year = {2026},
  url = {https://github.com/elkins/synth-pdb},
  version = {1.24.0}
}

APA

Elkins, G. (2026). synth-pdb: High-Performance Protein Structure Generator for AI/ML and Education (Version 1.24.0) [Computer software]. https://github.com/elkins/synth-pdb

MLA

Elkins, George. synth-pdb: High-Performance Protein Structure Generator for AI/ML and Education. Version 1.24.0, 2026, https://github.com/elkins/synth-pdb.

Chicago

Elkins, George. 2026. synth-pdb: High-Performance Protein Structure Generator for AI/ML and Education. Version 1.24.0. https://github.com/elkins/synth-pdb.

Zenodo DOI

To create a DOI for this project, visit Zenodo and link your GitHub repository. Once created, add the DOI badge here.

Acknowledgments

synth-pdb builds upon the following excellent scientific software:

• Biotite: Protein structure manipulation (Kunzmann & Hamacher, 2018)
• OpenMM: Molecular dynamics engine (Eastman et al., 2017)
• NumPy: Numerical computing (Harris et al., 2020)
• Numba: JIT compilation (Lam et al., 2015)

Related Publications

If you're interested in the scientific methods implemented in synth-pdb, see:

• Lipari-Szabo Formalism: Lipari & Szabo (1982) - NMR relaxation theory
• Ramachandran Plots: Ramachandran et al. (1963) - Protein backbone geometry
• Dunbrack Rotamer Library: Dunbrack & Cohen (1997) - Side-chain conformations
• MolProbity Validation: Lovell et al. (2003) - Structure quality assessment

License

synth-pdb is released under the MIT License. See License for details.