Mining Frequent Spatial Docking Patterns in Zinc Finger DNA Complexes

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F10%3A00169043" target="_blank" >RIV/68407700:21230/10:00169043 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Mining Frequent Spatial Docking Patterns in Zinc Finger DNA Complexes
Original language description
We use techniques of logic based relational machine learning to automatically detect spatial patterns common to 21 previously described examples of zinc finger DNA complexes. We demonstrate that such patterns can be found and thus the proposed methodology may potentially serve to achieve better understanding of zinc finger DNA binding.
Czech name
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Czech description
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Project
<a href="/en/project/ME10047" target="_blank" >ME10047: Predictive Data Modeling for Effective Gene Therapy and Bone Marrow Transplantation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 7th European Symposium on Biomedical Engineering
ISBN
978-960-85715-5-6
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
University of Patras
Place of publication
Patras
Event location
Chalkidiki
Event date
May 28, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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