Web server to identify similarity of amino acid motifs to compounds (SAAMCO)
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F08%3A00056467" target="_blank" >RIV/00216224:14310/08:00056467 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Web server to identify similarity of amino acid motifs to compounds (SAAMCO)
Original language description
Protein-protein interactions are fundamental in mediating biological processes including metabolism, cell growth and signalling. To be able to selectively inhibit or induce protein activity or complex formation is a key feature in controlling disease. For those situations in which protein-protein interactions derive substantial affinity from short linear peptide sequences, or motifs, we can develop search algorithms for peptidomimetic compounds that resemble the short peptide?s structure but are not compromised by poor pharmacological properties. SAAMCO is a web service that facilitates the screening of motifs with known structures against bioactive compound databases. It is built on an algorithm that defines compound similarity based on the presence of appropriate amino acid side chain fragments and a favourable Root Mean Squared Deviation (RMSD) between compound and motif structure.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
CF - Physical chemistry and theoretical chemistry
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LC06030" target="_blank" >LC06030: Biomolecular centre</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Chemical Information and Modeling
ISSN
1549-9596
e-ISSN
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Volume of the periodical
48
Issue of the periodical within the volume
7
Country of publishing house
US - UNITED STATES
Number of pages
6
Pages from-to
1524-1529
UT code for WoS article
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EID of the result in the Scopus database
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