Evidence map›Paper›PMID 38743854›Full record

ArticleJournal of chemical theory and computation2024

LigandDiff: de Novo Ligand Design for 3D Transition Metal Complexes with Diffusion Models.

Hongni Jin, Kenneth M Merz

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. tmQM-RDF Data Set: A Knowledge Graph Representing Transition Metal Complexes.Journal of chemical information and modeling · 2026
    Article
  2. Review
  3. Graph neural networks for predicting metal-ligand coordination of transition metal complexes.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Diffusion Models in De Novo Drug Design.Journal of chemical information and modeling · 2024
    Review
  9. Partial to Total Generation of 3D Transition-Metal Complexes.Journal of chemical theory and computation · 2024
    Article
  10. Simulating Metal-Imidazole Complexes.Journal of chemical theory and computation · 2024
    Article
4 · The record

Corrections and comments

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

5 · Who and what money

Authors and funding

2 authors.

Hongni JinDepartment of Chemistry, Michigan State University, East Lansing, Michigan 48824, United States.ORCID 0009-0009-4345-6300
Kenneth M MerzDepartment of Chemistry, Michigan State University, East Lansing, Michigan 48824, United States.ORCID 0000-0001-9139-5893

Funding

Modeling Transition Metal Ion Binding to ProteinsR01GM130641 · NIGMS · MICHIGAN STATE UNIVERSITY · PI KENNETH M. MERZ · 2019 to 2026
$2.5M
NIGMS NIH HHS R01 GM130641
6 · The paper itself

Abstract

Transition metal complexes are a class of compounds with varied and versatile properties, making them of great technological importance. Their applications cover a wide range of fields, either as metallodrugs in medicine or as materials, catalysts, batteries, solar cells,

Identifiers

PMID38743854
PMCPMC11137811

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.