ReviewJournal of pharmaceutical analysis2020
Current status and future directions of high-throughput ADME screening in drug discovery.
Review in Journal of pharmaceutical analysis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
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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.
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Who cites it
21 citing papers in PubMed.
- DeepCYP: an integrated deep learning web server for the holistic "pathway-site product" prediction of CYP450 metabolism.Nucleic acids research · 2026Article
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- Toxicity Profiling andToxins · 2025Article
- Building a Bridge Between Ambient MS and LC-MS by Non-Exhaustive Microdesorption.Angewandte Chemie (International ed. in English) · 2025Article
- Ultra-high throughput mass spectrometry with ultra high-speed separations: differential mobility spectrometry-acoustic ejection mass spectrometry (DAEMS).Bioanalysis · 2025Article
- Human Small Intestinal Tissue Models to Assess Barrier Permeability: Comparative Analysis of Caco-2 Cells, Jejunal and Duodenal Enteroid-Derived Cells, and EpiIntestinalBioengineering (Basel, Switzerland) · 2025Article
- The In Vitro Pharmacokinetics of Medicinal Plants: A Review.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Review
- Research on the optimization model of anti-breast cancer candidate drugs based on machine learning.Frontiers in genetics · 2025Article
- Embryonic Zebrafish as a Model for Investigating the Interaction between Environmental Pollutants and Neurodegenerative Disorders.Biomedicines · 2024Review
- Exploring the Antibacterial Potential ofPharmaceuticals (Basel, Switzerland) · 2024Article
- Exploring the diversity of microbes and natural products from fungus-growing termite tripartite symbiosis.Engineering microbiology · 2024Review
- Evaluation of the Usefulness of Topological Indices for Predicting Selected Physicochemical Properties of Bioactive Substances with Anti-Androgenic and Hypouricemic Activity.Molecules (Basel, Switzerland) · 2023Article
- Functional Complementation of Anti-Adipogenic Phytonutrients for Obesity Prevention and Management.Nutrients · 2022Article
- Synthesis and Biological Evaluation of Thiazole-Based Derivatives with Potential against Breast Cancer and Antimicrobial Agents.International journal of molecular sciences · 2022Article
- A temporo-spatial pharmacometabolomics method to characterize pharmacokinetics and pharmacodynamics in the brain microregions by using ambient mass spectrometry imaging.Acta pharmaceutica Sinica. B · 2022Article
- Design of novel benzimidazole derivatives as potential α-amylase inhibitors using QSAR, pharmacokinetics, molecular docking, and molecular dynamics simulation studies.Journal of molecular modeling · 2022Article
- Decoding the Key Functional Combined Components Group and Uncovering the Molecular Mechanism of Longdan Xiegan Decoction in Treating Uveitis.Drug design, development and therapy · 2022Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
During the last decade high-throughput in vitro absorption, distribution, metabolism and excretion (HT-ADME) screening has become an essential part of any drug discovery effort of synthetic molecules. The conduct of HT-ADME screening has been "industrialized" due to the extensive development of software and automation tools in cell culture, assay incubation, sample analysis and data analysis. The HT-ADME assay portfolio continues to expand in emerging areas such as drug-transporter interactions, early soft spot identification, and ADME screening of peptide drug candidates. Additionally, thanks to the very large and high-quality HT-ADME data sets available in many biopharma companies, in silico prediction of ADME properties using machine learning has also gained much momentum in recent years. In this review, we discuss the current state-of-the-art practices in HT-ADME screening including assay portfolio, assay automation, sample analysis, data processing, and prediction model building. In addition, we also offer perspectives in future development of this exciting field.
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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.