Evidence map›Paper›PMID 35498963›Full record

ArticleFood chemistry: X2022

Virtual screening and docking analysis of novel ligands for selective enhancement of tea (

Anusha Majumder, Sunil Kanti Mondal, Samyabrata Mukhoty, Sagar Bag, Anupam Mondal, Yasmin Begum, Kalpna Sharma, Avishek Banik

Open access · goldAbstract read
In one paragraph

Article in Food chemistry: X, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 17 citations in OpenAlex.

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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 3 institutions in 1 country.

Anusha MajumderLaboratory of Microbial Interaction, School of Biotechnology, Presidency University, Kolkata, West Bengal, India.
Sunil Kanti MondalDepartment of Biotechnology, The University of Burdwan, Burdwan, West Bengal, India.
Samyabrata MukhotyDepartment of Biotechnology, The University of Burdwan, Burdwan, West Bengal, India.
Sagar BagLaboratory of Microbial Interaction, School of Biotechnology, Presidency University, Kolkata, West Bengal, India.
Anupam MondalLaboratory of Microbial Interaction, School of Biotechnology, Presidency University, Kolkata, West Bengal, India.
Yasmin BegumDepartment of Biophysics, Molecular Biology, and Bioinformatics, University of Calcutta, 92, APC Road, Kolkata 700009, West Bengal, India.
Kalpna SharmaR&D Centre, Danguajhar Tea Garden, Goodricke Group Ltd., Jalpaiguri, West Bengal, India.
Avishek BanikLaboratory of Microbial Interaction, School of Biotechnology, Presidency University, Kolkata, West Bengal, India.
Presidency University · INUniversity of Burdwan · INUniversity of Calcutta · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flavour of tea is mainly contributed by a group of polyphenols - flavonoids. However, the content of flavonoid fluctuates seasonally and is found to be higher in the first flush of tea, when compared to the second flush. This disparity in the flavonoid content, and hence taste, incurs heavy economic losses to the tea plantation industry each harvest season. For our present study, four key product-specific enzymes (PAL, FNS, FLS and ANS) of the tea-specific flavonoid pathway were selected to perform molecular docking studies with specific virtually screened allosteric modulators. Results of docking analyses showed Naringenin, 2-Morpholin-4-ium-4-ylethanesulfonate, 6-C-Glucosylquercetin, 2-Oxoglutaric acid, 3,5,7,3',4'-pentahydroxyflavone to be capable of improving the spontaneity of the enzyme-substrate reactions in terms of docking score, RMSD values, and non-covalent interactions (H-bond,hydrophobic interaction, Π-stacking, salt bridge, etc.). Further, the evolutionary relationship of tea flavonoid pathway enzymes was constructed and compared with related taxa. The codon usage-based of tea flavonoid biosynthetic genes indicated the non-biasness of their nucleotide composition. Overall this study will provide a direction towards putative ligand-dependent enhancement of flavonoid content, irrespective of seasonal variation.

Indexed as

4CL, Tyrosine ammonia lyaseAMF, Arbuscular Mycorrhizal FungiANR, anthocyanidin reductaseANS, anthocyanidinsynthaseC4H, trans-cinnamate-4-CAI, Codon Adaptation IndexCHI, chalcone isomeraseCHS, 4-coumaratCoA, ligase chalcone synthaseCodon usage indicesDFR, dihydroflavonol 4-reductaseENc, Effective number of codonsF3′5′H, flavonoid 3′5′-hydroxylaseF3H, flavanone 3-hydroxylaseF3′H, flavonoid 3′-hydroxylaseFlavonoidsFLS, Flavonol synthaseFNS, flavone synthaseGC1, GC2, and GC3-GC, content at the first, second, and third codon positionsGC3s, frequency of either G or C at the third codon position of synonymous codonsH 0, null hypothesisno selectionIAA, Indole acetic acidLAR, leucoanthocyanidin reductaseLigandsMolecular dockingPAL, phenylalanine ammonia-lyaseRMSD, root-mean-square deviationRSCU, Relative Synonymous Codon UsageTAL, monooxygenaseTea flushUGT72, UDP-3 glycosyltransferasesVirtual screening

Identifiers

PMID35498963
PMCPMC9039891
OpenAlexW4205988565

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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.