A virtual drug-screening approach to conquer huge chemical libraries.

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

4 citing papers in PubMed.

1. Facilitating structure-based drug discovery with an artificial intelligence-driven virtual screening platform.Nature protocols · 2026
   Review
2. Decoding the limits of deep learning in molecular docking for drug discovery.Chemical science · 2025
   Article
3. Machine Learning Meets Physics-based Modeling: A Mass-spring System to Predict Protein-ligand Binding Affinity.Current medicinal chemistry · 2025
   Review
4. GraphsformerCPI: Graph Transformer for Compound-Protein Interaction Prediction.Interdisciplinary sciences, computational life sciences · 2024
   Article

Corrections and comments

• Comment on
  Synthon-based ligand discovery in virtual libraries of over 11 billion compounds.2022

Authors and funding

2 authors.

Funding

No grant is acknowledged in the PubMed record.

Abstract

PubMed holds no abstract for this paper.

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