Virtual Screening of Different Subclasses of Lignans with Anticancer Potential and Based on Genetic Profile.


Journal

Molecules (Basel, Switzerland)
ISSN: 1420-3049
Titre abrégé: Molecules
Pays: Switzerland
ID NLM: 100964009

Informations de publication

Date de publication:
11 Aug 2023
Historique:
received: 25 06 2023
revised: 26 07 2023
accepted: 04 08 2023
medline: 28 8 2023
pubmed: 26 8 2023
entrez: 26 8 2023
Statut: epublish

Résumé

Cancer is a multifactorial disease that continues to increase. Lignans are known to be important anticancer agents. However, due to the structural diversity of lignans, it is difficult to associate anticancer activity with a particular subclass. Therefore, the present study sought to evaluate the association of lignan subclasses with antitumor activity, considering the genetic profile of the variants of the selected targets. To do so, predictive models were built against the targets tyrosine-protein kinase ABL (ABL), epidermal growth factor receptor erbB1 (EGFR), histone deacetylase (HDAC), serine/threonine-protein kinase mTOR (mTOR) and poly [ADP-ribose] polymerase-1 (PARP1). Then, single nucleotide polymorphisms were mapped, target mutations were designed, and molecular docking was performed with the lignans with the best predicted biological activity. The results showed more anticancer activity in the dibenzocyclooctadiene, furofuran and aryltetralin subclasses. The lignans with the best predictive values of biological activity showed varying binding energy results in the presence of certain genetic variants.

Identifiants

pubmed: 37630263
pii: molecules28166011
doi: 10.3390/molecules28166011
pmc: PMC10459202
pii:
doi:

Substances chimiques

Histone Deacetylases EC 3.5.1.98
Lignans 0
TOR Serine-Threonine Kinases EC 2.7.11.1

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : National Council for Scientific and Technological Development
ID : #306798/2020-4
Organisme : Coordenação de Aperfeicoamento de Pessoal de Nível Superior
ID : Financing Code 001
Organisme : Fundação de Apoio à Pesquisa do Estado da Paraíba
ID : funding No. 04/2022, grant number #3783/2022-0
Organisme : Fundação de Apoio à Pesquisa do Estado da Paraíba
ID : FAPESQ; BLD-PDRP PB

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Auteurs

Mayara Dos Santos Maia (MDS)

Department of Molecular Biology, Federal University of Paraíba, João Pessoa 58051-900, PB, Brazil.

Francisco Jaime Bezerra Mendonça-Junior (FJB)

Laboratory of Synthesis and Drug Delivery, State Universtiy of Paraiba, João Pessoa 58071-160, PB, Brazil.
Postgraduate Program in Natural Synthetic and Bioactive Products (PgPNSB), Federal University of Paraíba, João Pessoa 58033-455, PB, Brazil.

Gabriela Cristina Soares Rodrigues (GCS)

Miriri Foods and Bioenergy S/A, Santa Rita 58300-970, PB, Brazil.

Adriano Soares da Silva (ASD)

Program in Ecology and Environmental Monitoring, Federal University of Paraíba, João Pessoa 58059-900, PB, Brazil.

Niara Isis Pereira de Oliveira (NIP)

Program in Ecology and Environmental Monitoring, Federal University of Paraíba, João Pessoa 58059-900, PB, Brazil.

Pablo Rayff da Silva (PRD)

Postgraduate Program in Natural Synthetic and Bioactive Products (PgPNSB), Federal University of Paraíba, João Pessoa 58033-455, PB, Brazil.

Cícero Francisco Bezerra Felipe (CFB)

Postgraduate Program in Natural Synthetic and Bioactive Products (PgPNSB), Federal University of Paraíba, João Pessoa 58033-455, PB, Brazil.

Ana Pavla Almeida Diniz Gurgel (APAD)

Program in Cellular and Molecular Biology, Federal University of Paraíba, João Pessoa 58051-900, PB, Brazil.

Anuraj Nayarisseri (A)

In Silico Research Laboratory, Eminent Bioscience, Indore 452010, Madhya Pradesh, India.

Marcus Tullius Scotti (MT)

Postgraduate Program in Natural Synthetic and Bioactive Products (PgPNSB), Federal University of Paraíba, João Pessoa 58033-455, PB, Brazil.
Laboratory of Cheminformatics, Health Sciences Center, Federal University of Paraíba, João Pessoa 58033-455, PB, Brazil.

Luciana Scotti (L)

Postgraduate Program in Natural Synthetic and Bioactive Products (PgPNSB), Federal University of Paraíba, João Pessoa 58033-455, PB, Brazil.
Laboratory of Cheminformatics, Health Sciences Center, Federal University of Paraíba, João Pessoa 58033-455, PB, Brazil.

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Classifications MeSH