Evidence map›Paper›PMID 26373957›Full record

ReviewJournal of pharmacokinetics and pharmacodynamics2015

Pharmacokinetic and pharmacodynamic considerations for the next generation protein therapeutics.

Dhaval K Shah

Abstract readReview
In one paragraph

Review in Journal of pharmacokinetics and pharmacodynamics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.0field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Article
  3. Biomaterial-Based Therapeutic Delivery of Immune Cells.Advanced healthcare materials · 2025
    Review
  4. Review
  5. Article
  6. Review
  7. Directed evolution of genetically encoded LYTACs for cell-mediated delivery.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Article
  9. Advanced Formulation Approaches for Proteins.Handbook of experimental pharmacology · 2024
    Review
  10. Review
  11. Article
  12. ACS biomaterials science & engineering · 2023
    Article
  13. Article
  14. Review
  15. Review
  16. Review
  17. Intrinsic physicochemical profile of marketed antibody-based biotherapeutics.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  18. Article
  19. Article
  20. Protein-based vehicles for biomimetic RNAi delivery.Journal of biological engineering · 2019
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Dhaval K ShahDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, The State University of New York at Buffalo, 455 Kapoor Hall, Buffalo, NY, 14214-8033, USA. dshah4@buffalo.edu.
University at Buffalo, State University of New York · US

Funding

Translational Systems Pharmacokinetic Models of Novel Anticancer BiologicsR01GM114179 · NIGMS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI SHAH, DHAVAL K · 2015 to 2019
$1.7M
NIGMS NIH HHS GM114179NIGMS NIH HHS R01 GM114179
6 · The paper itself

Abstract

Increasingly sophisticated protein engineering efforts have been undertaken lately to generate protein therapeutics with desired properties. This has resulted in the discovery of the next generation of protein therapeutics, which include: engineered antibodies, immunoconjugates, bi/multi-specific proteins, antibody mimetic novel scaffolds, and engineered ligands/receptors. These novel protein therapeutics possess unique physicochemical properties and act via a unique mechanism-of-action, which collectively makes their pharmacokinetics (PK) and pharmacodynamics (PD) different than other established biological molecules. Consequently, in order to support the discovery and development of these next generation molecules, it becomes important to understand the determinants controlling their PK/PD. This review discusses the determinants that a PK/PD scientist should consider during the design and development of next generation protein therapeutics. In addition, the role of systems PK/PD models in enabling rational development of the next generation protein therapeutics is emphasized.

Indexed as

AnimalsAntibodiesHumansImmunoconjugatesModels, BiologicalProteinsAntibodiesImmunoconjugatesProteinsADMEBiologicsImmunogenicityNovel scaffoldPharmacodynamicPharmacokineticProtein therapeuticsToxicity

Identifiers

PMID26373957
PMCPMC4593704
OpenAlexW2249305694

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.