Evidence map›Paper›PMID 41074808›Full record

ArticleProtein science : a publication of the Protein Society2025

Halogen bonds between ligands and proteins: Can we use them in validation?

Ida de Vries, Georgia Tsiompanaki, Anastassis Perrakis, Robbie P Joosten

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Halogen bonds between ligands and proteins: Can we use them in validation?Protein science : a publication of the Protein Society · 2025
    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

4 authors.

Ida de VriesDepartment of Biochemistry, Oncode Institute and The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Georgia TsiompanakiDepartment of Biochemistry, Oncode Institute and The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Anastassis PerrakisDepartment of Biochemistry, Oncode Institute and The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Robbie P JoostenDepartment of Biochemistry, Oncode Institute and The Netherlands Cancer Institute, Amsterdam, The Netherlands.ORCID 0000-0002-2323-2686

Funding

CCP4Horizon 2020 Framework Programme 101094131Horizon 2020 Framework Programme 871037
6 · The paper itself

Abstract

Halogen bonds are polar interactions between a halogen atom and its acceptor. They have characteristic geometry induced by the positively charged σ-hole on the halogen atom. Despite their importance in drug development, halogen bonds are often overlooked in the analysis and validation of ligand-protein complexes. We analyzed halogen bonds between ligands and proteins in structure models from the PDB-REDO databank and defined key geometric parameters. These are the donor-acceptor distance and two bond angles (θ1 and θ2) for interatomic halogen bonds, or in the case of halogen-π interactions, the distance between the halogen and acceptor π-system and a bond angle (θ1). Based on the distribution of these geometric parameters, we introduce a score, HalBS, that marks whether halogen bonds are adopting the preferred or allowed geometry or are an outlier and should be examined critically. A reference implementation of this score is now available in PDB-REDO and the source code at https://github.com/PDB-REDO/HalBS. This is a first step towards improving halogen bond treatment in the analysis of macromolecular structure models.

Indexed as

HalogensProteinsDatabases, ProteinLigandsModels, MolecularHalogensLigandsProteinshalogen bondshalogen‐π interactionsligandsligand validationprotein structure

Identifiers

PMID41074808
PMCPMC12514845

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.