ArticleSmart molecules : open access2023
Machine learning methods for developments of binding kinetic models in predicting protein-ligand dissociation rate constants.
Article in Smart molecules : open access, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- BayesianKAN: A reaction condition optimization framework integrating Kolmogorov-Arnold network and Bayesian optimization.Smart molecules : open access · 2026Article
- Reactive machine learning potential for accelerating transition state search in organic synthesis.Nature communications · 2026Article
- Review
- A unified active learning framework for photosensitizer design.Chemical science · 2026Article
- Multifunctional polyimide performance prediction based on explainable machine learning.Smart molecules : open access · 2025Article
- Designing Catalysts to Accelerate a Protein-Peptide Assembly-Reaction Cascade.ACS central science · 2025Article
- High-Throughput Ligand Dissociation Kinetics Predictions Using Site Identification by Ligand Competitive Saturation.Journal of chemical theory and computation · 2025Article
- Machine learning methods for developments of binding kinetic models in predicting protein-ligand dissociation rate constants.Smart molecules : open access · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Binding kinetic properties of protein-ligand complexes are crucial factors affecting the drug potency. Nevertheless, the current
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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.