Virtual screening of secondary metabolites of the genus Solanum with potential antimicrobial activity

ABSTRACT Infectious diseases are a health problem today and have high mortality rates with a wide diversity of potentially pathogenic microorganisms. Research that is based either on the search for new drugs from plants or on the improvement of phytotherapeutics is prominent and continues to play an important role nowadays. From this perspective, use of in silico studies to carry out investigations of new molecules potentially active for methicillin-resistant Staphylococcus aureus and Escherichia coli using an in-house database with 421 different secondary metabolites selected from the literature from Solanum genus was performed. We also realized an in vitro study with strains of S. aureus and E. coli and compared the results. Two databases from ChEMBL were selected, the first one with activity against methicillin-resistant S. aureus and another against E. coli. The compounds were classified according to the pIC50 values to generate and validate the model using a "Random Forest". The "Random Forest" prediction model for methicillin-resistant S. aureus obtained an accuracy of 81%, area under the Receiver Operating Characteristic curve of 0.885, selecting eight molecules with an active potential above 60%. The prediction model for E. coli obtained an accuracy rate of 88%, area under the Receiver Operating Characteristic curve of 0.932, selecting four molecules with potential probability above 84%. Rutin proved to be potentially active in the in silico study for S. aureus and E. coli. Microbiological tests have shown that rutin has activity only for E. coli. An interaction study with strains of S. aureus ATCC 25923, a standard strain sensitive to all antibiotics, and SAM-01, a multidrug-resistant strain, was designed. There was interaction only between rutin and oxacillin, one of the three antibiotics studied in the interaction, for the strain SAM-01, reducing the resistance of this strain.

Saved in:
Bibliographic Details
Main Authors: Barros,Renata Priscila Costa, Cunha,Emidio Vasconcelos Leitão da, Catão,Raïssa Mayer Ramalho, Scotti,Luciana, Souza,Maria Sallett Rocha, Brás,Amanda Amona Queiroz, Scotti,Marcus Tullius
Format: Digital revista
Language:English
Published: Sociedade Brasileira de Farmacognosia 2018
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-695X2018000600686
Tags: Add Tag
No Tags, Be the first to tag this record!
id oai:scielo:S0102-695X2018000600686
record_format ojs
spelling oai:scielo:S0102-695X20180006006862018-11-13Virtual screening of secondary metabolites of the genus Solanum with potential antimicrobial activityBarros,Renata Priscila CostaCunha,Emidio Vasconcelos Leitão daCatão,Raïssa Mayer RamalhoScotti,LucianaSouza,Maria Sallett RochaBrás,Amanda Amona QueirozScotti,Marcus Tullius Rutin Virtual Screening Random Forest Antibacterial activity ABSTRACT Infectious diseases are a health problem today and have high mortality rates with a wide diversity of potentially pathogenic microorganisms. Research that is based either on the search for new drugs from plants or on the improvement of phytotherapeutics is prominent and continues to play an important role nowadays. From this perspective, use of in silico studies to carry out investigations of new molecules potentially active for methicillin-resistant Staphylococcus aureus and Escherichia coli using an in-house database with 421 different secondary metabolites selected from the literature from Solanum genus was performed. We also realized an in vitro study with strains of S. aureus and E. coli and compared the results. Two databases from ChEMBL were selected, the first one with activity against methicillin-resistant S. aureus and another against E. coli. The compounds were classified according to the pIC50 values to generate and validate the model using a "Random Forest". The "Random Forest" prediction model for methicillin-resistant S. aureus obtained an accuracy of 81%, area under the Receiver Operating Characteristic curve of 0.885, selecting eight molecules with an active potential above 60%. The prediction model for E. coli obtained an accuracy rate of 88%, area under the Receiver Operating Characteristic curve of 0.932, selecting four molecules with potential probability above 84%. Rutin proved to be potentially active in the in silico study for S. aureus and E. coli. Microbiological tests have shown that rutin has activity only for E. coli. An interaction study with strains of S. aureus ATCC 25923, a standard strain sensitive to all antibiotics, and SAM-01, a multidrug-resistant strain, was designed. There was interaction only between rutin and oxacillin, one of the three antibiotics studied in the interaction, for the strain SAM-01, reducing the resistance of this strain.info:eu-repo/semantics/openAccessSociedade Brasileira de FarmacognosiaRevista Brasileira de Farmacognosia v.28 n.6 20182018-12-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-695X2018000600686en10.1016/j.bjp.2018.08.003
institution SCIELO
collection OJS
country Brasil
countrycode BR
component Revista
access En linea
databasecode rev-scielo-br
tag revista
region America del Sur
libraryname SciELO
language English
format Digital
author Barros,Renata Priscila Costa
Cunha,Emidio Vasconcelos Leitão da
Catão,Raïssa Mayer Ramalho
Scotti,Luciana
Souza,Maria Sallett Rocha
Brás,Amanda Amona Queiroz
Scotti,Marcus Tullius
spellingShingle Barros,Renata Priscila Costa
Cunha,Emidio Vasconcelos Leitão da
Catão,Raïssa Mayer Ramalho
Scotti,Luciana
Souza,Maria Sallett Rocha
Brás,Amanda Amona Queiroz
Scotti,Marcus Tullius
Virtual screening of secondary metabolites of the genus Solanum with potential antimicrobial activity
author_facet Barros,Renata Priscila Costa
Cunha,Emidio Vasconcelos Leitão da
Catão,Raïssa Mayer Ramalho
Scotti,Luciana
Souza,Maria Sallett Rocha
Brás,Amanda Amona Queiroz
Scotti,Marcus Tullius
author_sort Barros,Renata Priscila Costa
title Virtual screening of secondary metabolites of the genus Solanum with potential antimicrobial activity
title_short Virtual screening of secondary metabolites of the genus Solanum with potential antimicrobial activity
title_full Virtual screening of secondary metabolites of the genus Solanum with potential antimicrobial activity
title_fullStr Virtual screening of secondary metabolites of the genus Solanum with potential antimicrobial activity
title_full_unstemmed Virtual screening of secondary metabolites of the genus Solanum with potential antimicrobial activity
title_sort virtual screening of secondary metabolites of the genus solanum with potential antimicrobial activity
description ABSTRACT Infectious diseases are a health problem today and have high mortality rates with a wide diversity of potentially pathogenic microorganisms. Research that is based either on the search for new drugs from plants or on the improvement of phytotherapeutics is prominent and continues to play an important role nowadays. From this perspective, use of in silico studies to carry out investigations of new molecules potentially active for methicillin-resistant Staphylococcus aureus and Escherichia coli using an in-house database with 421 different secondary metabolites selected from the literature from Solanum genus was performed. We also realized an in vitro study with strains of S. aureus and E. coli and compared the results. Two databases from ChEMBL were selected, the first one with activity against methicillin-resistant S. aureus and another against E. coli. The compounds were classified according to the pIC50 values to generate and validate the model using a "Random Forest". The "Random Forest" prediction model for methicillin-resistant S. aureus obtained an accuracy of 81%, area under the Receiver Operating Characteristic curve of 0.885, selecting eight molecules with an active potential above 60%. The prediction model for E. coli obtained an accuracy rate of 88%, area under the Receiver Operating Characteristic curve of 0.932, selecting four molecules with potential probability above 84%. Rutin proved to be potentially active in the in silico study for S. aureus and E. coli. Microbiological tests have shown that rutin has activity only for E. coli. An interaction study with strains of S. aureus ATCC 25923, a standard strain sensitive to all antibiotics, and SAM-01, a multidrug-resistant strain, was designed. There was interaction only between rutin and oxacillin, one of the three antibiotics studied in the interaction, for the strain SAM-01, reducing the resistance of this strain.
publisher Sociedade Brasileira de Farmacognosia
publishDate 2018
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-695X2018000600686
work_keys_str_mv AT barrosrenatapriscilacosta virtualscreeningofsecondarymetabolitesofthegenussolanumwithpotentialantimicrobialactivity
AT cunhaemidiovasconcelosleitaoda virtualscreeningofsecondarymetabolitesofthegenussolanumwithpotentialantimicrobialactivity
AT cataoraissamayerramalho virtualscreeningofsecondarymetabolitesofthegenussolanumwithpotentialantimicrobialactivity
AT scottiluciana virtualscreeningofsecondarymetabolitesofthegenussolanumwithpotentialantimicrobialactivity
AT souzamariasallettrocha virtualscreeningofsecondarymetabolitesofthegenussolanumwithpotentialantimicrobialactivity
AT brasamandaamonaqueiroz virtualscreeningofsecondarymetabolitesofthegenussolanumwithpotentialantimicrobialactivity
AT scottimarcustullius virtualscreeningofsecondarymetabolitesofthegenussolanumwithpotentialantimicrobialactivity
_version_ 1756399506061000704