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HADDOCK (High Ambiguity Driven protein-protein DOCKing) is an information-driven flexible docking approach for the modeling of biomolecular complexes. HADDOCK distinguishes itself from ab-initio docking methods in the fact that it encodes information from identified or predicted protein interfaces in ambiguous interaction restraints (AIRs) to drive the docking process. HADDOCK can deal with a large class of modeling problems including protein-protein, protein-nucleic acids and protein-ligand complexes.
More information about HADDOCK2.2 can be found on the HADDOCK2.2 website
Read also what an independent review by Moreira et al. has to say about our software...
HADDOCK is one of the flagship software in the EU H2020 BioExcel Center of Excellence for Biomolecular Research.
HADDOCK webserver
REGISTRATION: The use of the HADDOCK WeNMR GRID-enabled docking server is free for academic users. How to proceed:
  1. Then register here for HADDOCK access

SERVICES:


The default HADDOCK settings used by the server can be found here
A list of modified amino acids supported by HADDOCK can be found here

HADDOCK help center
You can post questions regarding the use of the HADDOCK web server using the BioExcel HADDOCK support center.
Refer further to the online HADDOCK software page and its manual.
HADDOCK webserver statistics
Server statistics generated on: 2024-03-28 10:37:01
Number of running requests on alcazar: and of which on the WeNMR/EOSC/EGI grid
Number of requests being processed on alcazar: of which for the grid server
Number of queued requests on alcazar: of which for the grid server
Total number of served requests since June 1st 2008: 623459 , of which 436491 on the WeNMR grid
Number of COVID-19 related served requests since April 1st 2020: 92081
For more statistics including HADDOCK2.4 see here
References for use of the WeNMR GRID-enabled server
G.C.P van Zundert, J.P.G.L.M. Rodrigues, M. Trellet, C. Schmitz, P.L. Kastritis, E. Karaca, A.S.J. Melquiond, M. van Dijk, S.J. de Vries and A.M.J.J. Bonvin (2016). "The HADDOCK2.2 webserver: User-friendly integrative modeling of biomolecular complexes." J. Mol. Biol., 428, 720-725 (2015).
R. Vargas Honorato, P.I. Koukos, B. Jimenez-Garcia, A. Tsaregorodtsev, M. Verlato, A. Giachetti, A. Rosato and A.M.J.J. Bonvin (2021). "Structural biology in the clouds: The WeNMR-EOSC Ecosystem." Frontiers Mol. Biosci., 8, fmolb.2021.729513 (2021).
And add in addition the following text to the acknowledgment section:

"The FP7 WeNMR (project# 261572), H2020 West-Life (project# 675858), EOSC-hub (project# 777536) and the EGI-ACE (project# 101017567) European e-Infrastructure projects are acknowledged for the use of their web portals, which make use of the EGI infrastructure with the dedicated support of CESNET-MCC, INFN-LNL-2, NCG-INGRID-PT, TW-NCHC, CESGA, IFCA-LCG2, UA-BITP, TR-FC1-ULAKBIM, CSTCLOUD-EGI, IN2P3-CPPM, CIRMMP, SURFsara and NIKHEF, and the additional support of the national GRID Initiatives of Belgium, France, Italy, Germany, the Netherlands, Poland, Portugal, Spain, UK, Taiwan and the US Open Science Grid."

Server example
An example of the server output for the e2a-hpr example provided with the HADDOCK distribution can be found here. This is the result of the E2A-HPr demo run below via the "easy interface" using only chemical shift perturbations.
Tutorials
A demo web form for the easy interface with pre-loaded parameters is available here. It corresponds to the E2A-HPR docking example based on NMR chemical shift perturbations.

Various tutorials describing the use of the HADDOCK web portal with various combinations of data are available here

A demo of the easy interface based on the above tutorial is available in YouTube, together with a recent 3 hour lecture on HADDOCK by Prof. A. Bonvin


And finally a SBGrid webinar by Prof. A. Bonvin describing the differences between using the webserver and a local version of HADDOCK is available on YouTube


Services
The WeNMR portal is an easy gateway for you to use many of the powerful software packages ported by the WeNMR consortium to the GRID.
Learn more about WeNMR>>
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