Evidence map›Paper›PMID 28045509›Full record

ReviewChemical reviews2017

Metal Ion Modeling Using Classical Mechanics.

Pengfei Li, Kenneth M Merz

Abstract readReview
In one paragraph

Review in Chemical reviews, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 117 papers.

0numbers the graph read from it
0cells of the map it votes in
117citing 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

117 citing papers in PubMed.

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  5. The Effect of CuACS chemical neuroscience · 2026
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57 more citing papers are in PubMed but not listed here.

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.

Pengfei LiDepartment of Chemistry, Department of Biochemistry and Molecular Biology, and Institute of Cyber-Enabled Research, Michigan State University , East  Lansing, Michigan 48824, United States.ORCID 0000-0002-2572-5935
Kenneth M MerzDepartment of Chemistry, Department of Biochemistry and Molecular Biology, and Institute of Cyber-Enabled Research, Michigan State University , East  Lansing, Michigan 48824, United States.ORCID 0000-0001-9139-5893

Funding

Mettalloenzyme Structure/FunctionR01GM044974 · NIGMS · UNIVERSITY OF FLORIDA · PI MERZ, KENNETH M. · 1997 to 2010
$2.0M
The Bioinorganic Chemistry of Nickel: The UreasesR01GM066859 · NIGMS · UNIVERSITY OF FLORIDA · PI DEUMENS, ERIK · 2003 to 2011
$1.9M
NIGMS NIH HHS R01 GM044974NIGMS NIH HHS R01 GM066859
6 · The paper itself

Abstract

Metal ions play significant roles in numerous fields including chemistry, geochemistry, biochemistry, and materials science. With computational tools increasingly becoming important in chemical research, methods have emerged to effectively face the challenge of modeling metal ions in the gas, aqueous, and solid phases. Herein, we review both quantum and classical modeling strategies for metal ion-containing systems that have been developed over the past few decades. This Review focuses on classical metal ion modeling based on unpolarized models (including the nonbonded, bonded, cationic dummy atom, and combined models), polarizable models (e.g., the fluctuating charge, Drude oscillator, and the induced dipole models), the angular overlap model, and valence bond-based models. Quantum mechanical studies of metal ion-containing systems at the semiempirical, ab initio, and density functional levels of theory are reviewed as well with a particular focus on how these methods inform classical modeling efforts. Finally, conclusions and future prospects and directions are offered that will further enhance the classical modeling of metal ion-containing systems.

Indexed as

Models, ChemicalComputer SimulationMetalsQuantum TheoryMetals

Identifiers

PMID28045509
PMCPMC5312828

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.