Evidence map›Paper›PMID 35164342›Full record

ReviewMolecules (Basel, Switzerland)2022

Theoretical Modeling of Redox Potentials of Biomolecules.

Cheng Giuseppe Chen, Alessandro Nicola Nardi, Andrea Amadei, Marco D'Abramo

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. 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.

Cheng Giuseppe ChenDepartment of Chemistry, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0003-3553-4718
Alessandro Nicola NardiDepartment of Chemistry, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0002-0959-1690
Andrea AmadeiDepartment of Chemical and Technological Sciences, Tor Vergata University, 00133 Rome, Italy.
Marco D'AbramoDepartment of Chemistry, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0001-6020-8581

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The estimation of the redox potentials of biologically relevant systems by means of theoretical-computational approaches still represents a challenge. In fact, the size of these systems typically does not allow a full quantum-mechanical treatment needed to describe electron loss/gain in such a complex environment, where the redox process takes place. Therefore, a number of different theoretical strategies have been developed so far to make the calculation of the redox free energy feasible with current computational resources. In this review, we provide a survey of such theoretical-computational approaches used in this context, highlighting their physical principles and discussing their advantages and limitations. Several examples of these approaches applied to the estimation of the redox potentials of both proteins and nucleic acids are described and critically discussed. Finally, general considerations on the most promising strategies are reported.

Indexed as

Oxidation-ReductionComputational ChemistryModels, TheoreticalQuantum TheoryDNAproteinsredox potentialstheoretical-computational chemistry

Identifiers

PMID35164342
PMCPMC8838479

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.