Literature DB >> 28236234

Highly Flexible Protein-Peptide Docking Using CABS-Dock.

Maciej Paweł Ciemny1, Mateusz Kurcinski1, Konrad Jakub Kozak1, Andrzej Kolinski1, Sebastian Kmiecik2.   

Abstract

Protein-peptide molecular docking is a difficult modeling problem. It is even more challenging when significant conformational changes that may occur during the binding process need to be predicted. In this chapter, we demonstrate the capabilities and features of the CABS-dock server for flexible protein-peptide docking. CABS-dock allows highly efficient modeling of full peptide flexibility and significant flexibility of a protein receptor. During CABS-dock docking, the peptide folding and binding process is explicitly simulated and no information about the peptide binding site or its structure is used. This chapter presents a successful CABS-dock use for docking a potentially therapeutic peptide to a protein target. Moreover, simulation contact maps, a new CABS-dock feature, are described and applied to the docking test case. Finally, a tutorial for running CABS-dock from the command line or command line scripts is provided. The CABS-dock web server is available from http://biocomp.chem.uw.edu.pl/CABSdock/ .

Keywords:  CABS; Computational modeling; Molecular docking; Peptide binding; Peptide design; Protein-peptide interactions

Mesh:

Substances:

Year:  2017        PMID: 28236234     DOI: 10.1007/978-1-4939-6798-8_6

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  11 in total

1.  Flexible docking of peptides to proteins using CABS-dock.

Authors:  Mateusz Kurcinski; Aleksandra Badaczewska-Dawid; Michal Kolinski; Andrzej Kolinski; Sebastian Kmiecik
Journal:  Protein Sci       Date:  2019-11-11       Impact factor: 6.725

2.  Design and characterization of high-affinity synthetic peptides as bioreceptors for diagnosis of cutaneous leishmaniasis.

Authors:  Y Andrea Prada; Maria Soler; Fanny Guzmán; John J Castillo; Laura M Lechuga; Enrique Mejía-Ospino
Journal:  Anal Bioanal Chem       Date:  2021-05-26       Impact factor: 4.142

3.  Improved scFv Anti-LOX-1 Binding Activity by Fusion with LOX-1-Binding Peptides.

Authors:  Wei Hu; Qiuhong Xie; Hongyu Xiang
Journal:  Biomed Res Int       Date:  2017-09-28       Impact factor: 3.411

4.  A protocol for CABS-dock protein-peptide docking driven by side-chain contact information.

Authors:  Mateusz Kurcinski; Maciej Blaszczyk; Maciej Pawel Ciemny; Andrzej Kolinski; Sebastian Kmiecik
Journal:  Biomed Eng Online       Date:  2017-08-18       Impact factor: 2.819

5.  Phage-Displayed Peptides Selected to Bind Envelope Glycoprotein Show Antiviral Activity against Dengue Virus Serotype 2.

Authors:  Carolina de la Guardia; Mario Quijada; Ricardo Lleonart
Journal:  Adv Virol       Date:  2017-09-10

6.  Modeling EphB4-EphrinB2 protein-protein interaction using flexible docking of a short linear motif.

Authors:  Maciej Pawel Ciemny; Mateusz Kurcinski; Maciej Blaszczyk; Andrzej Kolinski; Sebastian Kmiecik
Journal:  Biomed Eng Online       Date:  2017-08-18       Impact factor: 2.819

Review 7.  Modeling of Protein Structural Flexibility and Large-Scale Dynamics: Coarse-Grained Simulations and Elastic Network Models.

Authors:  Sebastian Kmiecik; Maksim Kouza; Aleksandra E Badaczewska-Dawid; Andrzej Kloczkowski; Andrzej Kolinski
Journal:  Int J Mol Sci       Date:  2018-11-06       Impact factor: 5.923

8.  Rational Identification of a Colorectal Cancer Targeting Peptide through Phage Display.

Authors:  Débora Ferreira; Ana P Silva; Franklin L Nobrega; Ivone M Martins; Catarina Barbosa-Matos; Sara Granja; Sandra F Martins; Fátima Baltazar; Ligia R Rodrigues
Journal:  Sci Rep       Date:  2019-03-08       Impact factor: 4.379

9.  CABS-dock standalone: a toolbox for flexible protein-peptide docking.

Authors:  Mateusz Kurcinski; Maciej Pawel Ciemny; Tymoteusz Oleniecki; Aleksander Kuriata; Aleksandra E Badaczewska-Dawid; Andrzej Kolinski; Sebastian Kmiecik
Journal:  Bioinformatics       Date:  2019-10-15       Impact factor: 6.937

Review 10.  Modeling of Disordered Protein Structures Using Monte Carlo Simulations and Knowledge-Based Statistical Force Fields.

Authors:  Maciej Pawel Ciemny; Aleksandra Elzbieta Badaczewska-Dawid; Monika Pikuzinska; Andrzej Kolinski; Sebastian Kmiecik
Journal:  Int J Mol Sci       Date:  2019-01-31       Impact factor: 5.923

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