Evidence map›Paper›PMID 25479359›Full record

ArticlePloS one2014

Insight into the effect of inhibitor resistant S130G mutant on physico-chemical properties of SHV type beta-lactamase: a molecular dynamics study.

Mohd Hassan Baig, D Raja Sudhakar, Ponnusamy Kalaiarasan, Naidu Subbarao, Gulshan Wadhawa, Mohtashim Lohani, M Kalim A Khan, Asad U Khan

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

24 citing papers in PubMed, 80 citations in OpenAlex.

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  14. Computational screening of camostat and related compounds against human TMPRSS2: A potential treatment of COVID-19.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2022
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  19. Identification of bioactive compounds fromJournal of biomolecular structure & dynamics · 2021
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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

8 authors at 4 institutions in 1 country.

Mohd Hassan BaigInterdisciplinary Biotechnology Unit, Aligarh Muslim University, Aligarh, India; Department of Biosciences, Integral University, Lucknow, India.
D Raja SudhakarSchool of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, India.
Ponnusamy KalaiarasanNational Centre of Applied Human Genetics, School of Life Sciences, Jawaharlal Nehru University, New Delhi, India.
Naidu SubbaraoSchool of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, India.
Gulshan WadhawaDepartment of Biotechnology, Government of India, New Delhi, India.
Mohtashim LohaniDepartment of Biosciences, Integral University, Lucknow, India.
M Kalim A KhanDepartment of Biosciences, Integral University, Lucknow, India.
Asad U KhanInterdisciplinary Biotechnology Unit, Aligarh Muslim University, Aligarh, India.
Jawaharlal Nehru University · INAligarh Muslim University · INIntegral University · INDepartment of Biotechnology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial resistance is a serious threat to human health. The production of β-lactamase, which inactivates β-lactams is most common cause of resistance to the β-lactam antibiotics. The Class A enzymes are most frequently encountered among the four β-lactamases in the clinic isolates. Mutations in class A β-lactamases play a crucial role in substrate and inhibitor specificity. SHV and TEM type are known to be most common class A β-lactamases. In the present study, we have analyzed the effect of inhibitor resistant S130G point mutation of SHV type Class-A β-lactamase using molecular dynamics and other in silico approaches. Our study involved the use of different in silico methods to investigate the affect of S130G point mutation on the major physico-chemical properties of SHV type class A β-lactamase. We have used molecular dynamics approach to compare the dynamic behaviour of native and S130G mutant form of SHV β-lactamase by analyzing different properties like root mean square deviation (RMSD), H-bond, Radius of gyration (Rg) and RMS fluctuation of mutation. The results clearly suggest notable loss in the stability of S130G mutant that may further lead to decrease in substrate specificity of SHV. Molecular docking further indicates that S130G mutation decreases the binding affinity of all the three inhibitors in clinical practice.

Indexed as

Molecular Dynamics SimulationAnti-Bacterial Agentsbeta-Lactamase Inhibitorsbeta-Lactamasesbeta-LactamsDrug Resistance, MicrobialEnzyme InhibitorsHumansHydrogen BondingMolecular StructurePoint MutationProtein ConformationAnti-Bacterial Agentsbeta-Lactamase Inhibitorsbeta-Lactamasesbeta-LactamsEnzyme Inhibitors

Identifiers

PMID25479359
PMCPMC4257546
OpenAlexW2018434715

What OpenQuestion holds

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LicenceCC BY
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.