EasyModel: a user-friendly web-based interface based on MODELLER.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
11 10 2023
11 10 2023
Historique:
received:
06
06
2023
accepted:
09
10
2023
medline:
2
11
2023
pubmed:
12
10
2023
entrez:
11
10
2023
Statut:
epublish
Résumé
Three-dimensional protein structures are invaluable sources of information for the functional annotation of protein molecules. Describing the function of a protein sequence is one of the most common problems in biology. Generally, this problem can be facilitated by studying the tertiary structure of proteins. In the lack of protein structures, comparative modeling often provides a useful three-dimensional model of the protein associated with at least one known protein structure. Comparative modeling predicts the tertiary structure of a certain protein sequence (target) mainly based on its homological sequence to the sequence of one or more proteins with known structures (templates). MODELLER is one of the most widely used tools for homology or comparative modeling of three-dimensional protein structures. However, most users find it challenging to start with MODELLER as it is a command line based and requires knowledge of basic Python scripting to use it efficiently. In this study, a web-based interface has been designed to predict the tertiary structure of proteins based on Modeller, which does the comparative modeling automatically, and uses PHP and Python programming languages. This tool is called "EasyModel" and is available at http://bioinf.modares.ac.ir/software/easymodel/ . EasyModel provides a straightforward graphical interface for Modeller that can be used in only one browser.
Identifiants
pubmed: 37821634
doi: 10.1038/s41598-023-44505-9
pii: 10.1038/s41598-023-44505-9
pmc: PMC10567746
doi:
Substances chimiques
Proteins
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
17185Informations de copyright
© 2023. Springer Nature Limited.
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