ArticleACS omega2021
Predicting Isoform-Selective Carbonic Anhydrase Inhibitors via Machine Learning and Rationalizing Structural Features Important for Selectivity.
Article in ACS omega, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 20 citations in OpenAlex.
- Carbonic anhydrase under the computational lens: a review of advances, challenges, and future directions.Journal of molecular modeling · 2026Review
- Article
- Interpretable machine learning rationalizes carbonic anhydrase inhibition via conformal and counterfactual prediction.Scientific reports · 2026Article
- Computational Approaches and Structure-Based Drug Design of CAIs.Sub-cellular biochemistry · 2026Review
- Prediction of Activity and Selectivity Profiles of Sigma Receptor Ligands Using Machine Learning Approaches.Journal of chemical information and modeling · 2025Article
- Synthesis and Computational Evaluation ofACS omega · 2025Article
- A Machine Learning Platform for Isoform-Specific Identification and Profiling of Human Carbonic Anhydrase Inhibitors.Pharmaceuticals (Basel, Switzerland) · 2025Article
- VenomPred 2.0: A NovelJournal of chemical information and modeling · 2024Article
- Novel thiazolone-benzenesulphonamide inhibitors of human and bacterial carbonic anhydrases.Journal of enzyme inhibition and medicinal chemistry · 2023Article
- Can machine learning 'transform' peptides/peptidomimetics into small molecules? A case study with ghrelin receptor ligands.Molecular diversity · 2023Article
- Data-Driven Synthetic Cell Factories Development for Industrial Biomanufacturing.Biodesign research · 2022Review
- Synthesis, Molecular Docking Analysis and Biological Evaluations of Saccharide-Modified Thiadiazole Sulfonamide Derivatives.International journal of molecular sciences · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Carbonic anhydrases (CAs) catalyze the physiological hydration of carbon dioxide and are among the most intensely studied pharmaceutical target enzymes. A hallmark of CA inhibition is the complexation of the catalytic zinc cation in the active site. Human (
Identifiers
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.