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The HADDOCK2.2 Web Server: User-Friendly Integrative Modeling of Biomolecular Complexes

User-Friendly Integrative Modeling of Biomolecular Complexes
Authors: van Zundert, G.C.P.; Bonvin, A.M.J.J.; Rodrigues, J.P.G.L.M.; Trellet, M.; Schmitz, C.; Kastritis, P.L.; Karaca, E.; +3 Authors

The HADDOCK2.2 Web Server: User-Friendly Integrative Modeling of Biomolecular Complexes

Abstract

The prediction of the quaternary structure of biomolecular macromolecules is of paramount importance for fundamental understanding of cellular processes and drug design. In the era of integrative structural biology, one way of increasing the accuracy of modeling methods used to predict the structure of biomolecular complexes is to include as much experimental or predictive information as possible in the process. This has been at the core of our information-driven docking approach HADDOCK. We present here the updated version 2.2 of the HADDOCK portal, which offers new features such as support for mixed molecule types, additional experimental restraints and improved protocols, all of this in a user-friendly interface. With well over 6000 registered users and 108,000 jobs served, an increasing fraction of which on grid resources, we hope that this timely upgrade will help the community to solve important biological questions and further advance the field. The HADDOCK2.2 Web server is freely accessible to non-profit users at http://haddock.science.uu.nl/services/HADDOCK2.2.

Countries
Turkey, Netherlands
Keywords

biomolecular docking, Internet, protein complexes, Bioinformatics, Macromolecular Substances, User Friendly, hybrid modeling, Computational Biology, Research Support, Biochemistry, grid computing, Grid resources, World Wide Web, Upgrade, Web server, Journal Article, data-driven, Non-U.S. Gov't, Biology, Molecular Biology, The Internet

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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