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dc.contributor.author | Tellechea-Luzardo, Jonathan![]() |
es_ES |
dc.contributor.author | Martín Làzaro, Héctor![]() |
es_ES |
dc.contributor.author | Moreno López, Raúl![]() |
es_ES |
dc.contributor.author | Carbonell, Pablo![]() |
es_ES |
dc.date.accessioned | 2024-07-02T18:08:45Z | |
dc.date.available | 2024-07-02T18:08:45Z | |
dc.date.issued | 2023-02-28 | es_ES |
dc.identifier.issn | 1471-2105 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/205715 | |
dc.description.abstract | [EN] Allosteric transcription factor (aTF) based biosensors can be used to engineer genetic circuits for a wide range of applications. The literature and online databases contain hundreds of experimentally validated molecule-TF pairs; however, the knowledge is scattered and often incomplete. Additionally, compared to the number of compounds that can be produced in living systems, those with known associated TF-compound interactions are low. For these reasons, new tools that help researchers find new possible TF-ligand pairs are called for. In this work, we present Sensbio, a computational tool that through similarity comparison against a TF-ligand reference database, is able to identify putative transcription factors that can be activated by a given input molecule. In addition to the collection of algorithms, an online application has also been developed, together with a predictive model created to find new possible matches based on machine learning. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Springer (Biomed Central Ltd.) | es_ES |
dc.relation.ispartof | BMC Bioinformatics | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject | Biosensor | es_ES |
dc.subject | Transcription factor | es_ES |
dc.subject | Synthetic biology | es_ES |
dc.subject.classification | INGENIERIA DE SISTEMAS Y AUTOMATICA | es_ES |
dc.title | Sensbio: an online server for biosensor design | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1186/s12859-023-05201-7 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//CIAICO%2F2021%2F159//SMART BIOMANUFACTURING PROCESSES: DYNAMIC REGULATION, OPTIMIZATION AND MACHINE LEARNING/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/CE//H2020-MSCA-IF-2021//Improving bioproduction through dynamic regulation circuits/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI//TED2021-131049B-I00//BIODISEÑO PARA LA BIOECONOMIA: BIOMANUFACTURA EFICIENTE BASADA EN EL CICLO DISEÑO-IMPLEMENTACION-EVALUACION-ANALISIS/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials | es_ES |
dc.description.bibliographicCitation | Tellechea-Luzardo, J.; Martín Làzaro, H.; Moreno López, R.; Carbonell, P. (2023). Sensbio: an online server for biosensor design. BMC Bioinformatics. 24(1). https://doi.org/10.1186/s12859-023-05201-7 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1186/s12859-023-05201-7 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 24 | es_ES |
dc.description.issue | 1 | es_ES |
dc.identifier.pmid | 36855083 | es_ES |
dc.identifier.pmcid | PMC9972687 | es_ES |
dc.relation.pasarela | S\484286 | es_ES |
dc.contributor.funder | GENERALITAT VALENCIANA | es_ES |
dc.contributor.funder | AGENCIA ESTATAL DE INVESTIGACION | es_ES |
dc.contributor.funder | COMISION DE LAS COMUNIDADES EUROPEA | es_ES |
upv.costeAPC | 2850 | es_ES |