Results 21 to 30 of about 95,693 (243)
NIH Support for the Emergence of Quantitative and Systems Pharmacology [PDF]
CPT: Pharmacometrics & Systems Pharmacology, 2013 The National Institute of General Medical Sciences (NIGMS) of the National Institutes of Health (NIH) sponsored two workshops and the development of a white paper on the emergence of quantitative and systems pharmacology (QSP) as a discipline. In subsequent efforts to encourage this area, NIGMS modified existing research and training offerings.
Rogers, M, Lyster, P, Okita, R
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Computational methods and applications for quantitative systems pharmacology [PDF]
Quantitative Biology, 2019 BackgroundQuantitative systems pharmacology (QSP) is an emerging discipline that integrates diverse data to quantitatively explore the interactions between d rugs and multi‐scale systems including small compounds, nucleic acids, proteins, pathways, cells, organs and disease processes.ResultsVarious computational methods such as ADME/T evaluation ...
Fuda Xie, Jiangyong Gu
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Leveraging multi-omics data to empower quantitative systems pharmacology in immuno-oncology [PDF]
Briefings in BioinformaticsTheinmozhi Arulraj +2 more
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A quantitative systems pharmacology model for acute viral hepatitis B
Computational and Structural Biotechnology Journal, 2021 Hepatitis B liver infection is caused by hepatitis B virus (HBV) and represents a major global disease problem when it becomes chronic, as is the case for 80–90% of vertical or early life infections.
Eduardo Asín-Prieto +7 more
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Quantitative Systems Pharmacology: A Framework for Context [PDF]
Current Pharmacology Reports, 2016 Quantitative Systems Pharmacology (QSP) is receiving increased attention. As the momentum builds and the expectations grow it is important to (re)assess and formalize the basic concepts and approaches. In this short review, I argue that QSP, in addition to enabling the rational integration of data and development of complex models, maybe more ...
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Frontiers in Pharmacology, 2022 While anti-PD-1 and anti-PD-L1 [anti-PD-(L)1] monotherapies are effective treatments for many types of cancer, high variability in patient responses is observed in clinical trials.
Jessica C. Leete +6 more
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Review of quantitative systems pharmacological modeling in thrombosis
Communications in Information and Systems, 2019 Hemostasis and thrombosis are often thought as two sides of the same clotting mechanism whereas hemostasis is a natural protective mechanism to prevent bleeding and thrombosis is a blood clot abnormally formulated inside a blood vessel, blocking the normal blood flow. The evidence to date suggests that at least arterial thrombosis results from the same
Limei Cheng +2 more
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Virtual Populations for Quantitative Systems Pharmacology Models
, 2021 AbstractQuantitative systems pharmacology (QSP) places an emphasis on dynamic systems modeling, incorporating considerations from systems biology modeling and pharmacodynamics. The goal of QSP is often to quantitatively predict the effects of clinical therapeutics, their combinations, and their doses on clinical biomarkers and endpoints.
Yougan Cheng +5 more
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Cells, 2022 Despite potent anticancer activity, the clinical utilization of cisplatin is limited due to nephrotoxicity. As Organic Cation Transporter 2 (OCT2) has been shown to be one of the key transporters involved in the uptake of cisplatin into renal proximal ...
Hardik Mody +3 more
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CPT: Pharmacometrics & Systems Pharmacology, 2020 A structurally identifiable micro‐rate constant mechanistic model was used to describe the interaction between pitavastatin and eltrombopag, with improved goodness‐of‐fit values through comeasurement of pitavastatin and eltrombopag.
Simon J. Carter +3 more
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