Evidence map›Paper›PMID 36394430›Full record

ArticleAngewandte Chemie (International ed. in English)2023

Automated and Efficient Generation of General Molecular Aggregate Structures.

Christoph Plett, Stefan Grimme

Abstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. ZnJournal of molecular modeling · 2026
    Article
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  6. A Low-Symmetry FeChemistry (Weinheim an der Bergstrasse, Germany) · 2026
    Article
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  9. Monosaccharide-Derived Enantioselectivity in SWCNT Chemoresistive VOC Sensing.Chemistry (Weinheim an der Bergstrasse, Germany) · 2025
    Article
  10. Article
  11. Article
  12. Article
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  19. Article
  20. Revisiting HomochiralCrystal growth & design · 2023
    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.

Christoph PlettMulliken Center for Theoretical Chemistry, Clausius-Institut für Physikalische und Theoretische Chemie, Universität Bonn, Beringstraße 4, 53115, Bonn, Germany.ORCID 0000-0002-3911-2478
Stefan GrimmeMulliken Center for Theoretical Chemistry, Clausius-Institut für Physikalische und Theoretische Chemie, Universität Bonn, Beringstraße 4, 53115, Bonn, Germany.ORCID 0000-0002-5844-4371

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modeling intermolecular interactions of complex non-covalent structures is important in many areas of chemistry. To facilitate the generation of reasonable dimer, oligomer, and general aggregate geometries, we introduce an automated computational interaction site screening (aISS) workflow. This easy-to-use tool combines a genetic algorithm employing the intermolecular force-field xTB-IFF for initial search steps with the general force-field GFN-FF and the semi-empirical GFN2-xTB method for geometry optimizations. Compared with the alternative CREST program, aISS yields similar results but with computer time savings of 1-3 orders of magnitude. This allows for the treatment of systems with thousands of atoms composed of elements up to radon, e.g., metal-organic complexes, or even polyhedra and zeolite cut-outs which were not accessible before. Moreover, aISS can identify reactive sites and provides options like site-directed (user-guided) screening.

Indexed as

Coordination ComplexesZeolitesPolymersCoordination ComplexesPolymersZeolitesGlobal OptimizationNon-Covalent InteractionQuantum ChemistrySupramolecular Chemistry

Identifiers

PMID36394430
PMCPMC10107477

What OpenQuestion holds

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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 OpenQuestion graph.