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dc.contributor.authorVreven, Thom
dc.contributor.authorMiller, Stephen C.
dc.date2022-08-11T08:07:59.000
dc.date.accessioned2022-08-23T15:38:02Z
dc.date.available2022-08-23T15:38:02Z
dc.date.issued2019-01-15
dc.date.submitted2019-01-09
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.issn0192-8651 (Linking)
dc.identifier.doi10.1002/jcc.25745
dc.identifier.pmid30548653
dc.identifier.urihttp://hdl.handle.net/20.500.14038/25849
dc.description.abstractLuciferin 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.isoen_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.urlhttps://doi.org/10.1002/jcc.25745
dc.subjectcomputational
dc.subjectluciferin
dc.subjectphotochemistry
dc.subjectBiochemistry, Biophysics, and Structural Biology
dc.subjectBioinformatics
dc.subjectChemistry
dc.subjectComputational Biology
dc.titleComputational investigation into the fluorescence of luciferin analogues
dc.typeJournal Article
dc.source.journaltitleJournal of computational chemistry
dc.source.volume40
dc.source.issue2
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/bioinformatics_pubs/141
dc.identifier.contextkey13591441
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.submissionpathbioinformatics_pubs/141
dc.contributor.departmentDepartment of Biochemistry and Molecular Pharmacology
dc.contributor.departmentProgram in Bioinformatics and Integrative Biology
dc.source.pages527-531


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