dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorPontifícia Universidade Católica do Rio Grande do Sul (PUCRS)
dc.contributorFaculdade de Medicina de São José do Rio Preto (FAMERP)
dc.contributorUNIVAP
dc.date.accessioned2014-05-27T11:22:24Z
dc.date.accessioned2022-10-05T18:05:59Z
dc.date.available2014-05-27T11:22:24Z
dc.date.available2022-10-05T18:05:59Z
dc.date.created2014-05-27T11:22:24Z
dc.date.issued2007-01-01
dc.identifierCurrent Bioinformatics, v. 2, n. 1, p. 1-10, 2007.
dc.identifier1574-8936
dc.identifierhttp://hdl.handle.net/11449/69509
dc.identifierWOS:000244444500001
dc.identifier2-s2.0-34248202756
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3918944
dc.description.abstractDBMODELING is a relational database of annotated comparative protein structure models and their metabolic, pathway characterization. It is focused on enzymes identified in the genomes of Mycobacterium tuberculosis and Xylella fastidiosa. The main goal of the present database is to provide structural models to be used in docking simulations and drug design. However, since the accuracy of structural models is highly dependent on sequence identity between template and target, it is necessary to make clear to the user that only models which show high structural quality should be used in such efforts. Molecular modeling of these genomes generated a database, in which all structural models were built using alignments presenting more than 30% of sequence identity, generating models with medium and high accuracy. All models in the database are publicly accessible at http://www.biocristalografia.df.ibilce.unesp.br/tools. DBMODELING user interface provides users friendly menus, so that all information can be printed in one stop from any web browser. Furthermore, DBMODELING also provides a docking interface, which allows the user to carry out geometric docking simulation, against the molecular models available in the database. There are three other important homology model databases: MODBASE, SWISSMODEL, and GTOP. The main applications of these databases are described in the present article. © 2007 Bentham Science Publishers Ltd.
dc.languageeng
dc.relationCurrent Bioinformatics
dc.relation0.540
dc.relation0,251
dc.rightsAcesso restrito
dc.sourceScopus
dc.subjectDatabases
dc.subjectDrug design
dc.subjectMolecular modeling
dc.subjectProtein prediction servers
dc.subjectStructural bioinformatics
dc.subject3 phosphoshikimate 1 carboxyvinyltransferase inhibitor
dc.subjecttransferase inhibitor
dc.subjectunclassified drug
dc.subjectaccess to information
dc.subjectaccuracy
dc.subjectamino acid sequence
dc.subjectantibacterial activity
dc.subjectautomation
dc.subjectbacterial genome
dc.subjectbioinformatics
dc.subjectclient server application
dc.subjectcomputer interface
dc.subjectcomputer prediction
dc.subjectcomputer program
dc.subjectcomputer simulation
dc.subjectdrug design
dc.subjectdrug research
dc.subjectdrug structure
dc.subjectdrug targeting
dc.subjectenzyme inhibition
dc.subjecthuman
dc.subjectInternet
dc.subjectmolecular model
dc.subjectMycobacterium tuberculosis
dc.subjectnonhuman
dc.subjectnucleotide sequence
dc.subjectpriority journal
dc.subjectprotein database
dc.subjectprotein structure
dc.subjectreview
dc.subjectsequence homology
dc.subjectweb browser
dc.subjectXylella fastidiosa
dc.titleMolecular modeling databases: A new way in the search of protein targets for drug development
dc.typeArtigo


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