Atomic partial charge predictions for furanoses by random forest regression with atom type symmetry function.

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

5 citing papers in PubMed.

1. High-Pressure Polymorphism of Ribavirin.Crystal growth & design · 2025
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2. Polarizable Water Model with Ab Initio Neural Network Dynamic Charges and Spontaneous Charge Transfer.Journal of chemical theory and computation · 2025
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3. Extending machine learning beyond interatomic potentials for predicting molecular properties.Nature reviews. Chemistry · 2022
   Review
4. Journal of chemical theory and computation · 2022
   Article
5. Toward the Prediction of Multi-Spin State Charges of a Heme Model by Random Forest Regression.Frontiers in chemistry · 2020
   Article

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

Authors and funding

2 authors.

Funding

No grant is acknowledged in the PubMed record.

Abstract