ArticleEuropean journal of drug metabolism and pharmacokinetics2020
Prediction of the Oral Bioavailability Correlation Between Humans and Preclinical Animals.
Article in European journal of drug metabolism and pharmacokinetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Prosta-omics: machine learning-driven TPSA prediction and molecular modeling of ASPM-inhibitors for prostate cancer treatment.Molecular diversity · 2026Article
- Naringenin Decreases Retroperitoneal Adiposity and Improves Metabolic Parameters in a Rat Model of Western Diet-Induced Obesity.Metabolites · 2025Article
- Employing Hexahydroquinolines asAdvances and applications in bioinformatics and chemistry : AABC · 2024Article
- Predicting the Drug Clearance Pathway with Structural Descriptors.European journal of drug metabolism and pharmacokinetics · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundExperimental determination of a drug's oral bioavailability in humans is cost and time consuming; therefore, is usually performed on preclinical animals. It is believed that animal data are predictive of human data; however, there are some doubts regarding the reliability of this concept. The aim of this study is to clarify whether it is possible to predict a correlation between human and animal bioavailability data based on structural parameters.
methodsOral bioavailability data of drugs for humans and preclinical animals (rats and dogs) were collected from the literature. Structural descriptors [Abraham solvation parameters, topological polar surface area (TPSA), logarithm of partition coefficient (logP) and logarithm of distribution coefficient at pH = 6.8 (logD
resultsThe results of this study revealed that logD
conclusionThe structural parameters and developed models in this study can be used to find compounds that have an acceptable correlation between oral bioavailabilities in animals, i.e., rats and dogs, and humans.
Indexed as
Identifiers
32681440What OpenQuestion holds
Registered trials
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.