The Emerging Discipline of Quantitative Systems Pharmacology

In 2011, the National Institutes of Health (NIH), in collaboration with leaders from the pharmaceutical industry and the academic community, published a white paper describing the emerging discipline of Quantitative Systems Pharmacology (QSP), and recommended the establishment of NIH-supported inter...

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Autores:
Tipo de recurso:
Book
Fecha de publicación:
2015
Institución:
Universidad de Bogotá Jorge Tadeo Lozano
Repositorio:
Expeditio: repositorio UTadeo
Idioma:
eng
OAI Identifier:
oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/14288
Acceso en línea:
https://www.frontiersin.org/research-topics/2103/the-emerging-discipline-of-quantitative-systems-pharmacology
http://hdl.handle.net/20.500.12010/14288
Palabra clave:
Therapeutics
Science (General)
Systems Biology
Quantitative systems pharmacology
Pharmacodynamics
Pharmaceutical R&D
Multi scale modeling
Modeling & Simulation
Pharmacometrics
Pharmacokinetics
Computational Biology
In-silico
Rights
License
Abierto (Texto Completo)
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dc.title.spa.fl_str_mv The Emerging Discipline of Quantitative Systems Pharmacology
title The Emerging Discipline of Quantitative Systems Pharmacology
spellingShingle The Emerging Discipline of Quantitative Systems Pharmacology
Therapeutics
Science (General)
Systems Biology
Quantitative systems pharmacology
Pharmacodynamics
Pharmaceutical R&D
Multi scale modeling
Modeling & Simulation
Pharmacometrics
Pharmacokinetics
Computational Biology
In-silico
title_short The Emerging Discipline of Quantitative Systems Pharmacology
title_full The Emerging Discipline of Quantitative Systems Pharmacology
title_fullStr The Emerging Discipline of Quantitative Systems Pharmacology
title_full_unstemmed The Emerging Discipline of Quantitative Systems Pharmacology
title_sort The Emerging Discipline of Quantitative Systems Pharmacology
dc.subject.spa.fl_str_mv Therapeutics
Science (General)
Systems Biology
topic Therapeutics
Science (General)
Systems Biology
Quantitative systems pharmacology
Pharmacodynamics
Pharmaceutical R&D
Multi scale modeling
Modeling & Simulation
Pharmacometrics
Pharmacokinetics
Computational Biology
In-silico
dc.subject.lemb.spa.fl_str_mv Quantitative systems pharmacology
Pharmacodynamics
Pharmaceutical R&D
Multi scale modeling
Modeling & Simulation
dc.subject.keyword.spa.fl_str_mv Pharmacometrics
Pharmacokinetics
Computational Biology
In-silico
description In 2011, the National Institutes of Health (NIH), in collaboration with leaders from the pharmaceutical industry and the academic community, published a white paper describing the emerging discipline of Quantitative Systems Pharmacology (QSP), and recommended the establishment of NIH-supported interdisciplinary research and training programs for QSP. QSP is still in its infancy, but has tremendous potential to change the way we approach biomedical research. QSP is really the integration of two disciplines that have been increasingly useful in biomedical research; “Systems Biology” and “Quantitative Pharmacology”. Systems Biology is the field of biomedical research that seeks to understand the relationships between genes and biologically active molecules to develop qualitative models of these systems; and Quantitative Pharmacology is the field of biomedical research that seeks to use computer aided modeling and simulation to increase our understanding of the pharmacokinetics (PK) and pharmacodynamics (PD) of drugs, and to aid in the design of pre-clinical and clinical experiments. The purpose of QSP modeling is to develop quantitative computer models of biological systems and disease processes, and the effects of drug PK and PD on those systems. QSP models allow testing of numerous potential experiments “in-silico” to eliminate those associated with a low probability of success, avoiding the potential costs of evaluating all of those failed experiments in the real world. At the same time, QSP models allow us to develop our understanding of the interaction between drugs and biological systems in a more systematic and rigorous manner. As the need to be more cost-efficient in the use of research funding increases, biomedical researchers will be required to gain the maximum insight from each experiment that is conducted. This need is even more acute in the pharmaceutical industry, where there is tremendous competition to develop innovative therapies in a highly regulated environment, combined with very high research and development (R&D) costs for bringing new drugs to market (~$1.3 billion/drug). Analogous modeling & simulation approaches have been successfully integrated into other disciplines to improve the fundamental understanding of the science and to improve the efficiency of R&D (e.g., physics, engineering, economics, etc.). The biomedical research community has been slow to integrate computer aided modeling & simulation for many reasons: including the perception that biology and pharmacology are “too complex” and “too variable” to be modeled with mathematical equations; a lack of adequate graduate training programs; and the lack of support from government agencies that fund biomedical research. However, there is an active community of researchers in the pharmaceutical industry, the academic community, and government agencies that develop QSP and quantitative systems biology models and apply them both to better characterize and predict drug pharmacology and disease processes; as well as to improve efficiency and productivity in pharmaceutical R&D.
publishDate 2015
dc.date.created.none.fl_str_mv 2015
dc.date.accessioned.none.fl_str_mv 2020-10-06T23:53:31Z
dc.date.available.none.fl_str_mv 2020-10-06T23:53:31Z
dc.type.local.spa.fl_str_mv Libro
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_2f33
format http://purl.org/coar/resource_type/c_2f33
dc.identifier.isbn.none.fl_str_mv 978-2-88919-642-5
dc.identifier.issn.none.fl_str_mv 1664-8714
dc.identifier.other.none.fl_str_mv https://www.frontiersin.org/research-topics/2103/the-emerging-discipline-of-quantitative-systems-pharmacology
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12010/14288
dc.identifier.doi.none.fl_str_mv 10.3389/978-2-88919-642-5
identifier_str_mv 978-2-88919-642-5
1664-8714
10.3389/978-2-88919-642-5
url https://www.frontiersin.org/research-topics/2103/the-emerging-discipline-of-quantitative-systems-pharmacology
http://hdl.handle.net/20.500.12010/14288
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.references.none.fl_str_mv Leil, T. A., Ermakov, S., eds. (2015). The Emerging Discipline of Quantitative Systems Pharmacology. Lausanne: Frontiers Media. doi: 10.3389/978-2-88919-642-5
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.local.spa.fl_str_mv Abierto (Texto Completo)
dc.rights.creativecommons.none.fl_str_mv https://creativecommons.org/licenses/by/4.0/
rights_invalid_str_mv Abierto (Texto Completo)
https://creativecommons.org/licenses/by/4.0/
http://purl.org/coar/access_right/c_abf2
dc.format.extent.spa.fl_str_mv 99 páginas
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Frontiers Media SA
institution Universidad de Bogotá Jorge Tadeo Lozano
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https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/14288/2/license.txt
https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/14288/3/The%20Emerging%20Discipline%20of%20Quantitative%20Systems%20Pharmacology%20%281%29.PDF.jpg
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spelling 2020-10-06T23:53:31Z2020-10-06T23:53:31Z2015978-2-88919-642-51664-8714https://www.frontiersin.org/research-topics/2103/the-emerging-discipline-of-quantitative-systems-pharmacologyhttp://hdl.handle.net/20.500.12010/1428810.3389/978-2-88919-642-599 páginasapplication/pdfengFrontiers Media SATherapeuticsScience (General)Systems BiologyQuantitative systems pharmacologyPharmacodynamicsPharmaceutical R&DMulti scale modelingModeling & SimulationPharmacometricsPharmacokineticsComputational BiologyIn-silicoThe Emerging Discipline of Quantitative Systems PharmacologyLibrohttp://purl.org/coar/resource_type/c_2f33Abierto (Texto Completo)https://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2Leil, T. A., Ermakov, S., eds. (2015). The Emerging Discipline of Quantitative Systems Pharmacology. Lausanne: Frontiers Media. doi: 10.3389/978-2-88919-642-5In 2011, the National Institutes of Health (NIH), in collaboration with leaders from the pharmaceutical industry and the academic community, published a white paper describing the emerging discipline of Quantitative Systems Pharmacology (QSP), and recommended the establishment of NIH-supported interdisciplinary research and training programs for QSP. QSP is still in its infancy, but has tremendous potential to change the way we approach biomedical research. QSP is really the integration of two disciplines that have been increasingly useful in biomedical research; “Systems Biology” and “Quantitative Pharmacology”. Systems Biology is the field of biomedical research that seeks to understand the relationships between genes and biologically active molecules to develop qualitative models of these systems; and Quantitative Pharmacology is the field of biomedical research that seeks to use computer aided modeling and simulation to increase our understanding of the pharmacokinetics (PK) and pharmacodynamics (PD) of drugs, and to aid in the design of pre-clinical and clinical experiments. The purpose of QSP modeling is to develop quantitative computer models of biological systems and disease processes, and the effects of drug PK and PD on those systems. QSP models allow testing of numerous potential experiments “in-silico” to eliminate those associated with a low probability of success, avoiding the potential costs of evaluating all of those failed experiments in the real world. At the same time, QSP models allow us to develop our understanding of the interaction between drugs and biological systems in a more systematic and rigorous manner. As the need to be more cost-efficient in the use of research funding increases, biomedical researchers will be required to gain the maximum insight from each experiment that is conducted. This need is even more acute in the pharmaceutical industry, where there is tremendous competition to develop innovative therapies in a highly regulated environment, combined with very high research and development (R&D) costs for bringing new drugs to market (~$1.3 billion/drug). Analogous modeling & simulation approaches have been successfully integrated into other disciplines to improve the fundamental understanding of the science and to improve the efficiency of R&D (e.g., physics, engineering, economics, etc.). The biomedical research community has been slow to integrate computer aided modeling & simulation for many reasons: including the perception that biology and pharmacology are “too complex” and “too variable” to be modeled with mathematical equations; a lack of adequate graduate training programs; and the lack of support from government agencies that fund biomedical research. However, there is an active community of researchers in the pharmaceutical industry, the academic community, and government agencies that develop QSP and quantitative systems biology models and apply them both to better characterize and predict drug pharmacology and disease processes; as well as to improve efficiency and productivity in pharmaceutical R&D.Leil, Tarek A.Ermakov, SergeyORIGINALThe Emerging Discipline of Quantitative Systems Pharmacology (1).PDFThe Emerging Discipline of Quantitative Systems Pharmacology (1).PDFVer documentoapplication/pdf23487812https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/14288/1/The%20Emerging%20Discipline%20of%20Quantitative%20Systems%20Pharmacology%20%281%29.PDFc93770d2b530e98b032f3f8977043a83MD51open accessLICENSElicense.txtlicense.txttext/plain; charset=utf-82938https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/14288/2/license.txtabceeb1c943c50d3343516f9dbfc110fMD52open accessTHUMBNAILThe Emerging Discipline of Quantitative Systems Pharmacology (1).PDF.jpgThe Emerging Discipline of Quantitative Systems Pharmacology (1).PDF.jpgIM Thumbnailimage/jpeg52018https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/14288/3/The%20Emerging%20Discipline%20of%20Quantitative%20Systems%20Pharmacology%20%281%29.PDF.jpg86c4eb2341ac7019dcda14e54ee6a47fMD53open access20.500.12010/14288oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/142882021-02-22 18:35:13.068open accessRepositorio Institucional - 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