Evidence map›Paper›PMID 40908375›Full record

ReviewJournal of pharmacokinetics and pharmacodynamics2025

Computational approaches for toxicology and Pharmacokinetic properties prediction.

Navid Kaboudi, Tara Shekari, Ali Shayanfar, Andre Silva Pimentel

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of pharmacokinetics and pharmacodynamics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Toxicity of nanostructures in drug delivery applications.Pharmaceutical science advances · 2026
    Review
  2. Article
  3. Article
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

4 authors.

Navid KaboudiFaculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran. navid.kbd@gmail.com.
Tara ShekariDepartment of Pharmaceutics, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran.
Ali ShayanfarFaculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran.
Andre Silva PimentelDepartment of Chemistry, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmacokinetics and toxicological studies how the body reacts to a specific administered substance, such as a drug, toxin, or food. Each substance experiences these four steps: absorption, distribution, metabolism, and excretion, which are the main parameters in pharmacokinetics studies. Many toxic endpoints exist. There are three main ways to measure toxicology and pharmacokinetic parameters: in vivo, in vitro, and in-silico. Knowing toxicological and pharmacokinetic parameters before developing a new drug candidate could save time and resources, as clinical studies are highly cost-demanding. This review aims to gather studies using in-silico methodologies to predict pharmacokinetic properties.

Indexed as

Computer SimulationPharmacokineticsToxicologyAnimalsHumansModels, BiologicalPharmaceutical PreparationsPharmaceutical PreparationsMachine learningPharmacokineticsPredictingToxicology

Identifiers

PMID40908375

What OpenQuestion holds

Textmetadata
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.