Evidence map›Paper›PMID 39694476›Full record

ArticleJournal of chemical theory and computation2025

Geometry-Corrected Quadratic Optimization Algorithm for NDDO-Descendant Semiempirical Models.

Adrian Wee Wen Ong, Steve Yueran Cao, Leemen Chee Yong Chan, Javier Lim, Leong Chuan Kwek

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Adrian Wee Wen OngCentre for Quantum Technologies, National University of Singapore, Singapore 117543, Singapore.ORCID 0009-0004-6068-953X
Steve Yueran CaoCentre for Quantum Technologies, National University of Singapore, Singapore 117543, Singapore.ORCID 0009-0001-9200-0109
Leemen Chee Yong ChanCentre for Quantum Technologies, National University of Singapore, Singapore 117543, Singapore.
Javier LimCentre for Quantum Technologies, National University of Singapore, Singapore 117543, Singapore.
Leong Chuan KwekCentre for Quantum Technologies, National University of Singapore, Singapore 117543, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The long-held assumption that the optimization of parameters for NDDO-descendant semiempirical methods may be performed without precise geometry optimization is assessed in detail; the relevant equations for the analytical evaluation of the geometry-corrected derivatives of molecular properties that account for changes in the optimum geometry are then presented. The first and second derivatives calculated from our implementation of MNDO are used for a limited reparameterization of 1,113 CHNO molecules taken from the PM7 training set, demonstrating an improvement over the PARAM program used in the optimization of parameters for the PMx methods.

Identifiers

PMID39694476
PMCPMC11736688

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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.