Evidence map›Paper›PMID 33499015›Full record

ArticleMolecules (Basel, Switzerland)2021

Identification of Tyrosinase Inhibitors and Their Structure-Activity Relationships via Evolutionary Chemical Binding Similarity and Structure-Based Methods.

Prasannavenkatesh Durai, Young-Joon Ko, Jin-Chul Kim, Cheol-Ho Pan, Keunwan Park

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2021. 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
2.0field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. ADMET, QSAR and Docking studies to predict the activity ofCurrent research in structural biology · 2025
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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

5 authors at 1 institution in 1 country.

Prasannavenkatesh DuraiNatural Product Informatics Research Center, KIST Gangneung Institute of Natural Products, Gangneung 25451, Korea.ORCID 0000-0002-1538-8349
Young-Joon KoNatural Product Informatics Research Center, KIST Gangneung Institute of Natural Products, Gangneung 25451, Korea.ORCID 0000-0002-2386-6355
Jin-Chul KimNatural Product Informatics Research Center, KIST Gangneung Institute of Natural Products, Gangneung 25451, Korea.ORCID 0000-0002-2535-2761
Cheol-Ho PanNatural Product Informatics Research Center, KIST Gangneung Institute of Natural Products, Gangneung 25451, Korea.ORCID 0000-0002-0322-8030
Keunwan ParkNatural Product Informatics Research Center, KIST Gangneung Institute of Natural Products, Gangneung 25451, Korea.ORCID 0000-0002-8783-9495
Soongsil University · KR

Funding

Korea Institute of Science and Technology intramural research grant NAthe Ministry of Oceans and Fisheries, Korea 20170488
6 · The paper itself

Abstract

Tyrosinase is an enzyme that plays a crucial role in the melanogenesis of humans and the browning of food products. Thus, tyrosinase inhibitors that are useful to the cosmetic and food industries are required. In this study, we have used evolutionary chemical binding similarity (ECBS) to screen a virtual chemical database for human tyrosinase, which resulted in seven potential tyrosinase inhibitors confirmed through the tyrosinase inhibition assay. The tyrosinase inhibition percentage for three of the new actives was over 90% compared to 61.9% of kojic acid. From the structural analysis through pharmacophore modeling and molecular docking with the human tyrosinase model, the pi-pi interaction of tyrosinase inhibitors with conserved His367 and the polar interactions with Asn364, Glu345, and Glu203 were found to be essential for tyrosinase-ligand interactions. The pharmacophore features and the docking models showed high consistency, revealing the possible essential binding interactions of inhibitors to human tyrosinase. We have also presented the activity cliff analysis that successfully revealed the chemical features related to substantial activity changes found in the new tyrosinase inhibitors. The newly identified inhibitors and their structure-activity relationships presented here will help to identify or design new human tyrosinase inhibitors.

Indexed as

Catalytic DomainDrug DesignDrug Evaluation, PreclinicalEnzyme InhibitorsHumansIn Vitro TechniquesLigandsMolecular Docking SimulationMonophenol MonooxygenasePyronesSmall Molecule LibrariesStructural Homology, ProteinStructure-Activity RelationshipUser-Computer InterfaceEnzyme Inhibitorskojic acidLigandsMonophenol MonooxygenasePyronesSmall Molecule Librariesactivity cliffsECBSevolutionary chemical binding similaritymolecular dockingpharmacophoretyrosinase inhibitors

Identifiers

PMID33499015
PMCPMC7865271
OpenAlexW3122133734

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.