ReviewPharmaceutics2023
Artificial Intelligence in Drug Metabolism and Excretion Prediction: Recent Advances, Challenges, and Future Perspectives.
Review in Pharmaceutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 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
38 citing papers in PubMed.
- Artificial intelligence-driven cross-endpoint stacked ensemble learning for separate but meta-feature coupled prediction of six human pharmacokinetic endpoints with RDKit molecular representation and applicability domain control on real TDC benchmark data.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Stereoselective Biotransformation: Transfer of Learning to Advance Drug Metabolism and Biocatalysis.Angewandte Chemie (International ed. in English) · 2026Review
- Comprehensive In Vitro Metabolic Characterization of Eudesmin in Human and Mouse Hepatocytes.Pharmaceutics · 2026Article
- Integrated Computer-Aided Drug Design: Advances in GPCR Natural Ligand Discovery.Cell biochemistry and biophysics · 2026Review
- A review on integrated machine learning and deep learning driven artificial intelligence models for pharmacokinetics and toxicokinetics predictions, and their application.Drug metabolism and disposition: the biological fate of chemicals · 2026Review
- FAME3R: an efficient, practical and reliable open-source tool for predicting phase 1 and phase 2 sites of metabolism.Journal of cheminformatics · 2026Article
- Building the next frontier: Artificial intelligence in 3D-printed medicines.Biomaterials translational · 2026Review
- Metabolite Identification Data in Drug Discovery, Part 2: Site-of-Metabolism Annotation, Analysis, and Exploration for Machine Learning.Molecular pharmaceutics · 2025Article
- Prediction of UGT-mediated phase II metabolism via ligand- and structure-based predictive models.Journal of cheminformatics · 2025Article
- 1-Nitro-2-Phenylethane as a Multitarget Candidate for Cognitive and Psychiatric Disorders: Insights from In Silico and Behavioral Approaches.Pharmaceuticals (Basel, Switzerland) · 2025Article
- Human in vitro metabolism of an environmental mixture of polycyclic aromatic hydrocarbons (PAH) found at the Portland Harbor Superfund Site.Toxicology letters · 2025Article
- Site-of-Metabolism Prediction with Aleatoric and Epistemic Uncertainty Quantification.Journal of chemical information and modeling · 2025Article
- Artificial intelligence and computational methods in human metabolism research: A comprehensive survey.Journal of pharmaceutical analysis · 2025Review
- Study on the Excretion of a New Antihypertensive Drug 221s (2,9) in Rats.Pharmaceuticals (Basel, Switzerland) · 2025Article
- Automated Annotation of Sites of Metabolism from Biotransformation Data.Journal of chemical information and modeling · 2025Article
- Drug Transporters and Metabolizing Enzymes in Antimicrobial Drug Pharmacokinetics: Mechanisms, Drug-Drug Interactions, and Clinical Implications.Biomolecules · 2025Review
- Advances and challenges in drug design against dental caries: Application ofJournal of pharmaceutical analysis · 2025Review
- Advanced Artificial Intelligence Technologies Transforming Contemporary Pharmaceutical Research.Bioengineering (Basel, Switzerland) · 2025Review
- Computational tools for the prediction of site- and regioselectivity of organic reactions.Chemical science · 2025Review
- The Application of Artificial Intelligence in Drug ADME Research.Current drug metabolism · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Drug metabolism and excretion play crucial roles in determining the efficacy and safety of drug candidates, and predicting these processes is an essential part of drug discovery and development. In recent years, artificial intelligence (AI) has emerged as a powerful tool for predicting drug metabolism and excretion, offering the potential to speed up drug development and improve clinical success rates. This review highlights recent advances in AI-based drug metabolism and excretion prediction, including deep learning and machine learning algorithms. We provide a list of public data sources and free prediction tools for the research community. We also discuss the challenges associated with the development of AI models for drug metabolism and excretion prediction and explore future perspectives in the field. We hope this will be a helpful resource for anyone who is researching in silico drug metabolism, excretion, and pharmacokinetic properties.
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What 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.