ArticleACS medicinal chemistry letters2017
Addressing the Metabolic Stability of Antituberculars through Machine Learning.
Article in ACS medicinal chemistry letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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.
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Who cites it
10 citing papers in PubMed.
- Random Forest Model Predictions Afford Dual-Stage Antimalarial Agents.ACS infectious diseases · 2022Article
- Generation of new inhibitors of selected cytochrome P450 subtypes-Computational and structural biotechnology journal · 2022Article
- How can SHAP values help to shape metabolic stability of chemical compounds?Journal of cheminformatics · 2021Article
- Bayesian Modeling and Intrabacterial Drug Metabolism Applied to Drug-ResistantACS infectious diseases · 2021Article
- Random Forest Model Prediction of Compound Oral Exposure in the Mouse.ACS pharmacology & translational science · 2021Article
- Pruned Machine Learning Models to Predict Aqueous Solubility.ACS omega · 2020Article
- Machine Learning Platform to Discover Novel Growth Inhibitors of Neisseria gonorrhoeae.Pharmaceutical research · 2020Article
- Current status and future directions of high-throughput ADME screening in drug discovery.Journal of pharmaceutical analysis · 2020Review
- Exploiting machine learning for end-to-end drug discovery and development.Nature materials · 2019Article
- Naïve Bayesian Models for Vero Cell Cytotoxicity.Pharmaceutical research · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
We present the first prospective application of our mouse liver microsomal (MLM) stability Bayesian model. CD117, an antitubercular thienopyrimidine tool compound that suffers from metabolic instability (MLM
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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.