Evidence map›Paper›PMID 39625704›Full record

ArticleAngewandte Chemie (International ed. in English)2025

A Generally Applicable Method for Disentangling the Effect of Individual Noncovalent Interactions on the Binding Energy.

Ahmet Altun, Isaac F Leach, Frank Neese, Giovanni Bistoni

Abstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Probing Weak Halogen Bonding in Aqueous Solution.Journal of the American Chemical Society · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
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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.

Ahmet AltunMax-Planck-Institut für Kohlenforschung, Kaiser-Wilhelm-Platz 1, 45470, Mülheim an der Ruhr, Germany.ORCID https://orcid.org/0000-0001-8818-9925
Isaac F LeachDepartment of Chemistry, Biology and Biotechnology, University of Perugia, 06123, Perugia, Italy.ORCID https://orcid.org/0000-0001-7377-6561
Frank NeeseMax-Planck-Institut für Kohlenforschung, Kaiser-Wilhelm-Platz 1, 45470, Mülheim an der Ruhr, Germany.ORCID https://orcid.org/0000-0003-4691-0547
Giovanni BistoniDepartment of Chemistry, Biology and Biotechnology, University of Perugia, 06123, Perugia, Italy.ORCID https://orcid.org/0000-0003-4849-1323

Funding

Deutsche Forschungsgemeinschaft (DFG) 445916766Ministero dell'Università e della Ricerca J53D23008810006
6 · The paper itself

Abstract

We introduce the fragment-pairwise Local Energy Decomposition (fp-LED) scheme for precise quantification of individual interactions contributing to the binding energy of arbitrary chemical entities, such as protein-ligand binding energies, lattice energies of molecular crystals, or association energies of large biomolecular assemblies. Using fp-LED, we can assess whether the contribution to the binding energy arising from noncovalent interactions between pairs of molecular fragments in any chemical system is attractive or repulsive, and accurately quantify its magnitude at the coupled cluster level - commonly considered as the "gold standard" of computational chemistry. Such insights are crucial for advancing molecular and material design strategies in fields like catalysis and therapeutic development. Illustrative applications across diverse fields demonstrate the versatility and accuracy of this theoretical framework, promising profound implications for fundamental understanding and practical applications.

Indexed as

correlation energyDLPNO-CCSD(T)HFLDinteraction energyLocal Energy DecompositionLondon Dispersionnoncovalent interactions

Identifiers

PMID39625704
PMCPMC11914957

What OpenQuestion holds

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Registered trials

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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.