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Physiologically based Pharmacokinetic Model Validated to Enable Predictions Of Multiple Drugs in a Long-acting Drug-combination Nano-Particles (DcNP): Confirmation with 3 HIV Drugs, Lopinavir, Ritonavir, and Tenofovir in DcNP Products

Journal of Pharmaceutical Sciences(2024)10.1016/j.xphs.2024.02.018Source: DataRank Database

Physiologically based Pharmacokinetic Model Validated to Enable Predictions Of Multiple Drugs in a Long-acting Drug-combination Nano-Particles (DcNP): Confirmation with 3 HIV Drugs, Lopinavir, Ritonavir, and Tenofovir in DcNP Products is a research paper published in Journal of Pharmaceutical Sciences (2024). On theSindex it has a DataRank of 0. It has been cited 10 times.

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Open Access10 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (7 grants)Impact (FWCI 2.30)OA: bronzeTopics (49)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (4)

Danny D. Shen ORCID,Ariel M. Scott,Rodney J. Y. Ho ORCID,Simone Perazzolo ORCID

Live enrichment

PubMed:38382809 PMC:PMC11102316 OpenAlex:https://openalex.org/W4391940932

NHLBI NIH HHS

Grant: U01 HL152401

NIAID NIH HHS

Grant: UM1 AI120176

NIH HHS

Grant: P51 OD010425

NIAID NIH HHS

Grant: R61 AI149665

NIAID NIH HHS

Grant: U01 AI148055

NIH HHS

Grant: U42 OD011123

NIAID NIH HHS

Grant: R33 AI149665

FWCI

2.30

Citation Percentile

0.9%

Citation Trend

2024

2025

2026

bronzeLicense: https://www.elsevier.com/legal/tdmrep-license

journalhttp://jpharmsci.org/article/S0022354924000601/pdf

publisherhttp://jpharmsci.org/article/S0022354924000601/pdf

publisherhttps://api.elsevier.com/content/article/PII:S0022354924000601?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0022354924000601?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.xphs.2024.02.018

Fields of Study

HIV Research and TreatmentEpilepsy research and treatmentAdvanced Drug Delivery SystemsRitonavirLopinavirTenofovirAnimalsNanoparticlesModels, BiologicalAnti-HIV AgentsDrug CombinationsDelayed-Action PreparationsMaleDrug Delivery SystemsHumans

MeSH Terms

TenofovirAnimalsDelayed-Action PreparationsDrug CombinationsHumansMaleModels, BiologicalDrug Delivery SystemsAnti-HIV AgentsRitonavirNanoparticlesLopinavir

Keywords

LopinavirPhysiologically based pharmacokinetic modellingPharmacologyPharmacokineticsRitonavirDrugDosingMedicineDrug interactionDrug deliveryChemistryHuman immunodeficiency virus (HIV)VirologyViral loadAntiretroviral therapyHIVValidationNanoparticlesTenofovirPBPKLong-actingMechanism-based Inhibition

Sustainable Development Goals

SDG 0: Good health and well-being

Physiologically based Pharmacokinetic Model Validated to Enable Predictions Of Multiple Drugs in a Long-acting Drug-combination Nano-Particles (DcNP): Confirmation with 3 HIV Drugs, Lopinavir, Ritonavir, and Tenofovir in DcNP Products

FAIR Checklist

Authors (4)

Funding (7 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)