- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2105
- Extent
-
Online-Ressource
- Language
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Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Using structural motif descriptors for sequence-based binding site prediction ; volume:8 ; number:4 ; day:22 ; month:5 ; year:2007 ; pages:1-12 ; date:5.2007
BMC bioinformatics ; 8, Heft 4 (22.5.2007), 1-12, 5.2007
- Creator
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Henschel, Andreas
- Contributor
-
Winter, Christof
Kim, Wan Kyu
Schroeder, Michael
SpringerLink (Online service)
- DOI
-
10.1186/1471-2105-8-S4-S5
- URN
-
urn:nbn:de:1111-2016021634066
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:19 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Henschel, Andreas
- Winter, Christof
- Kim, Wan Kyu
- Schroeder, Michael
- SpringerLink (Online service)
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ATPsite: sequence-based prediction of ATP-binding residues
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Sequence-based prediction of protein binding regions and drug–target interactions
Sequence-based prediction reveals effect of protein-, DNA- RNA-binding residues on sequence variants
Classification of ATP binding sites using sequence-based fingerprints and molecular interaction fields
Sequence-based prediction of protein-protein interactions
Toward Sequence-Based Classification of Fungal Species
Optimal Sequence-Based Control of Networked Linear Systems
Sequence-Based Analyses of the Goettingen Minipig Genome
SVSBI: sequence-based virtual screening of biomolecular interactions
N-terminal sequence-based prediction of subcellular location
APRICOT: an integrated computational pipeline for the sequence-based identification and characterization of RNA-binding proteins
ATPsite: sequence-based prediction of ATP-binding residues
A sequence-based multiple kernel model for identifying DNA-binding proteins
Sequence-based prediction of protein binding regions and drug–target interactions
Sequence-based prediction reveals effect of protein-, DNA- RNA-binding residues on sequence variants
Classification of ATP binding sites using sequence-based fingerprints and molecular interaction fields
Sequence-based prediction of protein-protein interactions
Toward Sequence-Based Classification of Fungal Species
Optimal Sequence-Based Control of Networked Linear Systems
Sequence-Based Analyses of the Goettingen Minipig Genome
SVSBI: sequence-based virtual screening of biomolecular interactions
N-terminal sequence-based prediction of subcellular location