{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["23"],"submitter":["Pham C"],"pubmed_abstract":["Transcription factor (TF)-based biosensors that connect small-molecule sensing with readouts such as fluorescence have proven to be useful synthetic biology tools for applications in biotechnology. However, the development of specific TF-based biosensors is hindered by the limited repertoire of TFs specific for molecules of interest since current construction methods rely on a limited set of characterized TFs. In this study, we present an approach for engineering the specificity of TFs through a computation-based workflow using molecular docking that enables targeted alteration of TF ligand specificity. Using this method, we engineer the LysR family BenM TF to alter its specificity from its cognate ligand <i>cis</i>,<i>cis</i>-muconic acid to adipic acid through a single amino acid substit"],"journal":["Computational and structural biotechnology journal"],"pagination":["2211-2219"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11137364"],"repository":["biostudies-literature"],"pubmed_title":["Computation-guided transcription factor biosensor specificity engineering for adipic acid detection."],"pmcid":["PMC11137364"],"pubmed_authors":["Savchenko A","Stogios PJ","Mahadevan R","Pham C"],"additional_accession":[]},"is_claimable":false,"name":"Computation-guided transcription factor biosensor specificity engineering for adipic acid detection.","description":"Transcription factor (TF)-based biosensors that connect small-molecule sensing with readouts such as fluorescence have proven to be useful synthetic biology tools for applications in biotechnology. However, the development of specific TF-based biosensors is hindered by the limited repertoire of TFs specific for molecules of interest since current construction methods rely on a limited set of characterized TFs. In this study, we present an approach for engineering the specificity of TFs through a computation-based workflow using molecular docking that enables targeted alteration of TF ligand specificity. Using this method, we engineer the LysR family BenM TF to alter its specificity from its cognate ligand <i>cis</i>,<i>cis</i>-muconic acid to adipic acid through a single amino acid substit","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Dec","modification":"2026-06-02T09:04:58.662Z","creation":"2026-04-16T03:13:01.792Z"},"accession":"S-EPMC11137364","cross_references":{"pubmed":["38817964"],"doi":["10.1016/j.csbj.2024.05.002"]}}