Tu banner alternativo

Docking@Home

Docking@Home is a topic that has been the subject of study, debate and reflection throughout history. Its importance and influence are reflected in different aspects of society, culture and human development. Since its origins, Docking@Home has aroused curiosity and has been the subject of research in various disciplines, which has allowed us to expand our understanding of it. In this article, we will explore the different aspects related to Docking@Home, from its impact on everyday life to its relevance in broader contexts. Through a detailed analysis, we will seek to unravel the mysteries and complexities surrounding Docking@Home, aiming to provide a comprehensive and enriching vision on this topic.

Tu banner alternativo
Docking@Home
Developer(s)University of Delaware
Operating systemLinux, macOS, and Windows[1]
PlatformBOINC
Websitedocking.cis.udel.edu

Docking@Home was a volunteer computing project hosted by the University of Delaware and running on the Berkeley Open Infrastructure for Network Computing (BOINC) software platform. It models protein-ligand docking using the CHARMM program. Volunteer computing allows an extensive search of protein-ligand docking conformations and selection of near-native ligand conformations are achieved by using ligand based hierarchical clustering.[2] The ultimate aim was the development of new pharmaceutical drugs.

The project was retired on May 23, 2014.[1]

See also

References

  1. ^ a b "Docking@Home is Retiring". Archived from the original on 2014-10-17. Retrieved 2014-06-15.
  2. ^ Estrada, Trlce; Armen, Roger; Taufer, Michela (2010-08-02). "Automatic selection of near-native protein-ligand conformations using a hierarchical clustering and volunteer computing". Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology. BCB '10. New York, NY, USA: Association for Computing Machinery. pp. 204–213. doi:10.1145/1854776.1854807. ISBN 978-1-4503-0438-2. S2CID 6040735.

Further reading