Structural Computational Biology

DINC-Covid

DINC-Covid docks ligands to ensembles of Sars-Cov2 protein receptors.

Sars-Cov2 receptor ensembles

DINC-Covid predefines a set of receptor MD ensembles of SARS-Cov2 proteins including: Main Protease, RNA Dependent RNA Polymerase, Spike Protein and others.

Parallelized meta docking

DINC-Covid implements a parallelized meta docking algorithm that docks in parallel repicas of multiple replicas of the ligand into the receptor ensemble.

Making DINC-Covid accessible

To facilitate easy use of the DINC-Covid, we create a WebServer.

Further links

Check out our WebServer here: WebServer
Check out our Publication here: Publication

References

If you use DINC-Covid in your work, please cite the tool as shown:

  • S. Hall-Swan, D. Devaurs, M. M. Rigo, D. A. Antunes, L. E. Kavraki, and G. Zanatta, “DINC-COVID: A webserver for ensemble docking with flexible SARS-CoV-2 proteins,” Computers in Biology and Medicine, vol. 139, p. 104943, 2021.

  • D. A. Antunes, M. Moll, D. Devaurs, K. R. Jackson, G. Lizée, and L. E. Kavraki, “DINC 2.0: a new protein-peptide docking webserver using an incremental approach”, Cancer Research, vol. 77, no. 21, pp. e55–57, 2017.

  • D. A. Antunes, D. Devaurs, and L. E. Kavraki, “Understanding the challenges of protein flexibility in drug design,” Expert Opinion on Drug Discovery, vol. 10, no. 12, pp. 1301–1313, 2015.

Address

6100 Main Street

Houston, TX 77005

Site

https://kavrakilab.org

Email

kavraki@rice.edu

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