Fast screening of protein surfaces using geometric invariant fingerprints.

@article{Yin2009FastSO,
  title={Fast screening of protein surfaces using geometric invariant fingerprints.},
  author={Shuangye Yin and Elizabeth A Proctor and Alexey Alexandrovich Lugovskoy and Nikolay V. Dokholyan},
  journal={Proceedings of the National Academy of Sciences of the United States of America},
  year={2009},
  volume={106 39},
  pages={
          16622-6
        }
}
We develop a rapid and efficient method for the comparison of protein local surface similarities using geometric invariants (fingerprints). By combining fast fingerprint comparison with explicit alignment, we successfully screen the entire Protein Data Bank for proteins that possess local surface similarities. Our method is independent of sequence and fold similarities, and has potential application to protein structure annotation and protein-protein interface design. 

Figures from this paper.

Similar Papers

Citations

Publications citing this paper.
SHOWING 1-10 OF 25 CITATIONS

Protein Surface Characterization Using an Invariant Descriptor

  • Int. J. Biomedical Imaging
  • 2011
VIEW 7 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Fast Computation of High-resolution Solvent Excluded Protein Surface with OpenMP

  • 2018 International Conference on High Performance Computing & Simulation (HPCS)
  • 2018
VIEW 1 EXCERPT
CITES METHODS

An Integrated Approach to Sequence-Independent Local Alignment of Protein Binding Sites

  • IEEE/ACM Transactions on Computational Biology and Bioinformatics
  • 2015
VIEW 1 EXCERPT
CITES BACKGROUND

References

Publications referenced by this paper.
SHOWING 1-10 OF 24 REFERENCES