Protein–Protein and Protein–Peptide Docking with ClusPro Server

Author(s):  
Andrey Alekseenko ◽  
Mikhail Ignatov ◽  
George Jones ◽  
Maria Sabitova ◽  
Dima Kozakov
Keyword(s):  
2021 ◽  
Author(s):  
Barr Tivon ◽  
Ronen Gabizon ◽  
Bente A Somsen ◽  
Peter J Cossar ◽  
Christian Ottmann ◽  
...  

Electrophilic peptides that form an irreversible covalent bond with their target have great potential for binding targets that have been previously considered undruggable. However, the discovery of such peptides remains...


Biochemistry ◽  
2009 ◽  
Vol 48 (23) ◽  
pp. 5303-5312 ◽  
Author(s):  
Maoqing Dong ◽  
Polo C.-H. Lam ◽  
Delia I. Pinon ◽  
Ruben Abagyan ◽  
Laurence J. Miller

Molecules ◽  
2018 ◽  
Vol 23 (11) ◽  
pp. 3018 ◽  
Author(s):  
Gao Tu ◽  
Tingting Fu ◽  
Fengyuan Yang ◽  
Lixia Yao ◽  
Weiwei Xue ◽  
...  

The interaction of death-associated protein kinase 1 (DAPK1) with the 2B subunit (GluN2B) C-terminus of N-methyl-D-aspartate receptor (NMDAR) plays a critical role in the pathophysiology of depression and is considered a potential target for the structure-based discovery of new antidepressants. However, the 3D structures of C-terminus residues 1290–1310 of GluN2B (GluN2B-CT1290-1310) remain elusive and the interaction between GluN2B-CT1290-1310 and DAPK1 is unknown. In this study, the mechanism of interaction between DAPK1 and GluN2B-CT1290-1310 was predicted by computational simulation methods including protein–peptide docking and molecular dynamics (MD) simulation. Based on the equilibrated MD trajectory, the total binding free energy between GluN2B-CT1290-1310 and DAPK1 was computed by the mechanics generalized born surface area (MM/GBSA) approach. The simulation results showed that hydrophobic, van der Waals, and electrostatic interactions are responsible for the binding of GluN2B-CT1290–1310/DAPK1. Moreover, through per-residue free energy decomposition and in silico alanine scanning analysis, hotspot residues between GluN2B-CT1290-1310 and DAPK1 interface were identified. In conclusion, this work predicted the binding mode and quantitatively characterized the protein–peptide interface, which will aid in the discovery of novel drugs targeting the GluN2B-CT1290-1310 and DAPK1 interface.


Author(s):  
Dimitrios Spiliotopoulos ◽  
Panagiotis L. Kastritis ◽  
Adrien S. J. Melquiond ◽  
Alexandre M. J. J. Bonvin ◽  
Giovanna Musco ◽  
...  

2018 ◽  
Vol 58 (6) ◽  
pp. 1292-1302 ◽  
Author(s):  
Pei Zhou ◽  
Botong Li ◽  
Yumeng Yan ◽  
Bowen Jin ◽  
Libang Wang ◽  
...  

2019 ◽  
Vol 35 (20) ◽  
pp. 4170-4172 ◽  
Author(s):  
Mateusz Kurcinski ◽  
Maciej Pawel Ciemny ◽  
Tymoteusz Oleniecki ◽  
Aleksander Kuriata ◽  
Aleksandra E Badaczewska-Dawid ◽  
...  

AbstractSummaryCABS-dock standalone is a multiplatform Python package for protein–peptide docking with backbone flexibility. The main feature of the CABS-dock method is its ability to simulate significant backbone flexibility of the entire protein–peptide system in a reasonable computational time. In the default mode, the package runs a simulation of fully flexible peptide searching for a binding site on the surface of a flexible protein receptor. The flexibility level of the molecules may be defined by the user. Furthermore, the CABS-dock standalone application provides users with full control over the docking simulation from the initial setup to the analysis of results. The standalone version is an upgrade of the original web server implementation—it introduces a number of customizable options, provides support for large-sized systems and offers a framework for deeper analysis of docking results.Availability and implementationCABS-dock standalone is distributed under the MIT licence, which is free for academic and non-profit users. It is implemented in Python and Fortran. The CABS-dock standalone source code, wiki with documentation and examples of use and installation instructions for Linux, macOS and Windows are available in the CABS-dock standalone repository at https://bitbucket.org/lcbio/cabsdock.


2016 ◽  
Vol 110 (3) ◽  
pp. 543a
Author(s):  
Maksim Kouza ◽  
Maciej Blaszczyk ◽  
Mateusz Kurcinski ◽  
Lukasz Wieteska ◽  
Aleksander Debinski ◽  
...  

2014 ◽  
Author(s):  
Hana Atiqah Abdul Karim ◽  
Chatchai Tayapiwatana ◽  
Piyarat Nimmanpipug ◽  
Sharifuddin M. Zain ◽  
Noorsaadah Abdul Rahman ◽  
...  

2012 ◽  
Vol 61 (12) ◽  
pp. 2311-2319 ◽  
Author(s):  
Yasuto Akiyama ◽  
Masaru Komiyama ◽  
Yoji Nakamura ◽  
Akira Iizuka ◽  
Chie Oshita ◽  
...  

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