Evidence map›Paper›PMID 30498917›Full record

ArticleJournal of molecular modeling2018

Evaluating apoenzyme-coenzyme-substrate interactions of methane monooxygenase with an engineered active site for electron harvesting: a computational study.

Sikai Zhang, Raghupathy Karthikeyan, Sandun D Fernando

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in Journal of molecular modeling, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 48% of its field
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

0 citing papers in PubMed, 6 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 1 institution in 1 country.

Sikai ZhangBiological and Agricultural Engineering Department, Texas A&M University, College Station, TX, USA.
Raghupathy KarthikeyanBiological and Agricultural Engineering Department, Texas A&M University, College Station, TX, USA.
Sandun D FernandoBiological and Agricultural Engineering Department, Texas A&M University, College Station, TX, USA. sfernando@tamu.edu.ORCID http://orcid.org/0000-0002-7692-2170
Texas A&M University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low-temperature methane oxidation is one of the greatest challenges in energy research. Although methane monooxygenase (MMO) does this catalysis naturally, how to use this biocatalyst in a fuel cell environment where the electrons generated during the oxidation process is harvested and used for energy generation has not yet been investigated. A key requirement to use this enzyme in a fuel cell is wiring of the active site of the enzyme directly to the supporting electrode. In soluble MMO (sMMO), two cofactors, i.e., nicotinamide adenine di-nucleotide (NAD+) and flavin adenine dinucleotide (FAD) provide opportunities for direct attachment of the enzyme system to a supporting electrode. However, once modified to be compatible with a supporting metal electrode via FeS functionalization, how the two cofactors respond to complex binding phenomena is not yet understood. Using docking and molecular dynamic simulations, modified cofactors interactions with sMMO-reductase (sMMOR) were studied. Studies revealed that FAD modification with FeS did not interfere with binding phenomena. In fact, FeS introduction significantly improved the binding affinity of FAD and NAD+ on sMMOR. The simulations revealed a clear thermodynamically more favorable electron transport path for the enzyme system. This system can be used as a fuel cell and we can use FeS-modified-FAD as the anchoring molecule as opposed to using NAD+. The overall analysis suggests the strong possibility of building a fuel cell that could catalyze methane oxidation using sMMO as the anode biocatalyst.

Indexed as

Molecular Docking SimulationMolecular Dynamics SimulationApoenzymesBacterial ProteinsBiocatalysisCatalytic DomainCoenzymesComputational BiologyElectron TransportMethaneMethylococcus capsulatusOxygenasesProtein BindingProtein DomainsProtein EngineeringReproducibility of ResultsApoenzymesBacterial ProteinsCoenzymesMethanemethane monooxygenaseOxygenasesAutoDock VinaMethaneMethane monooxygenaseNAMDpMMOsMMO

Identifiers

PMID30498917
OpenAlexW2902532364

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.