Computational investigation into the fluorescence of luciferin analogues
| dc.contributor.author | Vreven, Thom | |
| dc.contributor.author | Miller, Stephen C. | |
| dc.date | 2022-08-11T08:07:59.000 | |
| dc.date.accessioned | 2022-08-23T15:38:02Z | |
| dc.date.available | 2022-08-23T15:38:02Z | |
| dc.date.issued | 2019-01-15 | |
| dc.date.submitted | 2019-01-09 | |
| dc.identifier.citation | <p>J Comput Chem. 2019 Jan 15;40(2):527-531. doi: 10.1002/jcc.25745. <a href="https://doi.org/10.1002/jcc.25745">Link to article on publisher's site</a></p> | |
| dc.identifier.issn | 0192-8651 (Linking) | |
| dc.identifier.doi | 10.1002/jcc.25745 | |
| dc.identifier.pmid | 30548653 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.14038/25849 | |
| dc.description.abstract | Luciferin analogues that display bioluminescence at specific wavelengths can broaden the scope of imaging and biological assays, but the need to design and synthesize many new analogues can be time-consuming. Employing a collection of previously synthesized and characterized aminoluciferin analogues, we demonstrate that computational TD-DFT methods can accurately reproduce and further explain the experimentally measured fluorescence wavelengths. The best computational approach yields a correlation with experiment of r = 0.98, which we expect to guide and accelerate the further development of luciferin analogues. | |
| dc.language.iso | en_US | |
| dc.relation | <p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=30548653&dopt=Abstract">Link to Article in PubMed</a></p> | |
| dc.relation.url | https://doi.org/10.1002/jcc.25745 | |
| dc.subject | computational | |
| dc.subject | luciferin | |
| dc.subject | photochemistry | |
| dc.subject | Biochemistry, Biophysics, and Structural Biology | |
| dc.subject | Bioinformatics | |
| dc.subject | Chemistry | |
| dc.subject | Computational Biology | |
| dc.title | Computational investigation into the fluorescence of luciferin analogues | |
| dc.type | Journal Article | |
| dc.source.journaltitle | Journal of computational chemistry | |
| dc.source.volume | 40 | |
| dc.source.issue | 2 | |
| dc.identifier.legacycoverpage | https://escholarship.umassmed.edu/bioinformatics_pubs/141 | |
| dc.identifier.contextkey | 13591441 | |
| html.description.abstract | <p>Luciferin analogues that display bioluminescence at specific wavelengths can broaden the scope of imaging and biological assays, but the need to design and synthesize many new analogues can be time-consuming. Employing a collection of previously synthesized and characterized aminoluciferin analogues, we demonstrate that computational TD-DFT methods can accurately reproduce and further explain the experimentally measured fluorescence wavelengths. The best computational approach yields a correlation with experiment of r = 0.98, which we expect to guide and accelerate the further development of luciferin analogues.</p> | |
| dc.identifier.submissionpath | bioinformatics_pubs/141 | |
| dc.contributor.department | Department of Biochemistry and Molecular Pharmacology | |
| dc.contributor.department | Program in Bioinformatics and Integrative Biology | |
| dc.source.pages | 527-531 |