Academic Journal
A Control-Theoretic Approach to Neural Pharmacology: Optimizing Drug Selection and Dosing.
| Τίτλος: | A Control-Theoretic Approach to Neural Pharmacology: Optimizing Drug Selection and Dosing. |
|---|---|
| Συγγραφείς: | Kumar, Gautam1 gautam.kumar@wustl.edu, Seul Ah Kim2 seulah.kim@wustl.edu, ShiNung Ching3 shinung@wustl.edu |
| Πηγή: | Journal of Dynamic Systems, Measurement, & Control. Aug2016, Vol. 138 Issue 8, p1-8. 8p. |
| Θεματικοί όροι: | *Brain -- Mathematical models, *Pharmacology, *Drug development, *Pharmacodynamics, *Phenotypes |
| Περίληψη: | The induction of particular brain dynamics via neural pharmacology involves the selection of particular agonists from among a class of candidate drugs and the dosing of the selected drugs according to a temporal schedule. Such a problem is made nontrivial due to the array of synergistic drugs available to practitioners whose use, in some cases, may risk the creation of dose-dependent effects that significantly deviate fi-om the desired outcome. Here, we develop an expanded pharmacodynamic (PD) modeling paradigm and show how it can facilitate optimal construction of pharmacologic regimens, i.e., drug selection and dose schedules. The key feature of the design method is the explicit dynamical-system based modeling of how a drug binds to its molecular targets. In this framework, a particular combination of drugs creates a time-vaiying trajectory in a multidimensional molecularlreceptor target space, subsets of which correspond to different behavioral phenotypes. By embedding this model in optimal control theory, we show how qualitatively different dosing strategies can be synthesized depending on the particular objective function considered. [ABSTRACT FROM AUTHOR] |
| Βάση Δεδομένων: | Academic Search Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: asx DbLabel: Academic Search Index An: 116796346 RelevancyScore: 1215 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 1215.32470703125 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Control-Theoretic Approach to Neural Pharmacology: Optimizing Drug Selection and Dosing. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kumar%2C+Gautam%22">Kumar, Gautam</searchLink><relatesTo>1</relatesTo><i> gautam.kumar@wustl.edu</i><br /><searchLink fieldCode="AR" term="%22Seul+Ah+Kim%22">Seul Ah Kim</searchLink><relatesTo>2</relatesTo><i> seulah.kim@wustl.edu</i><br /><searchLink fieldCode="AR" term="%22ShiNung+Ching%22">ShiNung Ching</searchLink><relatesTo>3</relatesTo><i> shinung@wustl.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Dynamic+Systems%2C+Measurement%2C+%26+Control%22">Journal of Dynamic Systems, Measurement, & Control</searchLink>. Aug2016, Vol. 138 Issue 8, p1-8. 8p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Brain+--+Mathematical+models%22">Brain -- Mathematical models</searchLink><br />*<searchLink fieldCode="DE" term="%22Pharmacology%22">Pharmacology</searchLink><br />*<searchLink fieldCode="DE" term="%22Drug+development%22">Drug development</searchLink><br />*<searchLink fieldCode="DE" term="%22Pharmacodynamics%22">Pharmacodynamics</searchLink><br />*<searchLink fieldCode="DE" term="%22Phenotypes%22">Phenotypes</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The induction of particular brain dynamics via neural pharmacology involves the selection of particular agonists from among a class of candidate drugs and the dosing of the selected drugs according to a temporal schedule. Such a problem is made nontrivial due to the array of synergistic drugs available to practitioners whose use, in some cases, may risk the creation of dose-dependent effects that significantly deviate fi-om the desired outcome. Here, we develop an expanded pharmacodynamic (PD) modeling paradigm and show how it can facilitate optimal construction of pharmacologic regimens, i.e., drug selection and dose schedules. The key feature of the design method is the explicit dynamical-system based modeling of how a drug binds to its molecular targets. In this framework, a particular combination of drugs creates a time-vaiying trajectory in a multidimensional molecularlreceptor target space, subsets of which correspond to different behavioral phenotypes. By embedding this model in optimal control theory, we show how qualitatively different dosing strategies can be synthesized depending on the particular objective function considered. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asx&AN=116796346 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1115/1.4033102 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 1 Subjects: – SubjectFull: Brain -- Mathematical models Type: general – SubjectFull: Pharmacology Type: general – SubjectFull: Drug development Type: general – SubjectFull: Pharmacodynamics Type: general – SubjectFull: Phenotypes Type: general Titles: – TitleFull: A Control-Theoretic Approach to Neural Pharmacology: Optimizing Drug Selection and Dosing. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kumar, Gautam – PersonEntity: Name: NameFull: Seul Ah Kim – PersonEntity: Name: NameFull: ShiNung Ching IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2016 Type: published Y: 2016 Identifiers: – Type: issn-print Value: 00220434 Numbering: – Type: volume Value: 138 – Type: issue Value: 8 Titles: – TitleFull: Journal of Dynamic Systems, Measurement, & Control Type: main |
| ResultId | 1 |