CABS-dock

CABS-dock performs flexible protein–peptide docking to predict peptide binding sites and binding poses while accounting for substantial conformational flexibility of both peptides and proteins.


Key Features:

  • Conformational Flexibility: Accommodates significant conformational changes in both peptides and proteins during the binding site search.
  • Binding Site and Pose Prediction: Predicts peptide binding sites and binding poses on protein targets.
  • Computational Approach: Implements in silico docking that integrates conformational sampling with docking simulations.

Scientific Applications:

  • Peptide–protein interaction mapping: Prediction and mapping of peptide binding sites and poses to support analysis of molecular recognition and therapeutic design.
  • Identification of peptide binders to PkMSP-1_19: Applied to peptides discovered by random linear dodecapeptide Ph.D.-12 phage display with three rounds of biopanning against the 19-kDa fragment of Merozoite Surface Protein-1 (PkMSP-1_19), where CABS-dock predicted binding sites confirming binders Pkd1 (HFPFHHHKLRAH) and Pkd2 (HPMHMLHKRQHG).

Methodology:

CABS-dock uses an in silico approach that integrates conformational sampling with docking simulations and allows substantial conformational flexibility of peptides and proteins during the binding site search.

Topics

Details

Tool Type:
web application
Added:
1/14/2020
Last Updated:
1/14/2021

Operations

Publications

Goh XT, Chua KH, Kee BP, Lim YAL. Identification of <i>Plasmodium knowlesi</i> Merozoite Surface Protein‐1<sub>19</sub> (PkMSP‐1<sub>19</sub>) novel binding peptides from a phage display library. Tropical Medicine &amp; International Health. 2019;25(2):172-185. doi:10.1111/tmi.13348. PMID:31733137.

PMID: 31733137
Funding: - Universiti Malaya: PG056‐2013A

Kurcinski M, Badaczewska‐Dawid A, Kolinski M, Kolinski A, Kmiecik S. Flexible docking of peptides to proteins using CABS‐dock. Protein Science. 2019;29(1):211-222. doi:10.1002/pro.3771. PMID:31682301. PMCID:PMC6933849.

PMID: 31682301
PMCID: PMC6933849
Funding: - Narodowe Centrum Nauki: MAESTRO2014/14/A/ST6/00088

Links