COMPUTATIONAL INVESTIGATION OF METHYL α-D-GLUCOPYRANOSIDE DERIVATIVES AS INHIBITOR AGAINST BACTERIA, FUNGI AND COVID-19 (SARS-2)

COMPUTATIONAL INVESTIGATION OF METHYL α-D-GLUCOPYRANOSIDE DERIVATIVES AS INHIBITOR AGAINST BACTERIA, FUNGI AND COVID-19 (SARS-2)

ABSTRACT For employing computational tools for drug discovery in the area of medicinal chemistry by carbohydrates, methyl α-D-glucopyranoside and its ten acylated derivatives have picked up. At first, the HOMO, LUMO, and its energy gap have been obtained by the DFT method, as well as the ch...

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Autores principales: Kawsar,Sarkar M. A., Kumer,Ajoy
Lenguaje:English
Publicado: Sociedad Chilena de Química 2021
Materias:
Glucopyranoside
ADMET
Molecular Docking
Drug-likeness
Toxicity
Amino Acids
Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-97072021000205206
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spelling oai:scielo:S0717-970720210002052062021-07-05COMPUTATIONAL INVESTIGATION OF METHYL α-D-GLUCOPYRANOSIDE DERIVATIVES AS INHIBITOR AGAINST BACTERIA, FUNGI AND COVID-19 (SARS-2)Kawsar,Sarkar M. A.Kumer,Ajoy Glucopyranoside ADMET Molecular Docking Drug-likeness Toxicity Amino Acids ABSTRACT For employing computational tools for drug discovery in the area of medicinal chemistry by carbohydrates, methyl α-D-glucopyranoside and its ten acylated derivatives have picked up. At first, the HOMO, LUMO, and its energy gap have been obtained by the DFT method, as well as the chemical reactivity and global descriptors, such as global softness, electron affinity, ionization potential, electronegativity, global hardness, global electrophilicity index, and chemical potential have calculated from HOMO and LUMO data. From this data, it is illustrated that the HOMO-LUMO energy gap is -9.756 to -7.756 kcal/mol while the compound 12 shows the highest energy gap and compound 10 is opposite, and the softness has recorded the range from 0.208 to 0.255, showing a small difference, while the lower softness is picked up for 12 , but 09 is reverse. The key and vital part of this study are noted as molecular docking against four pathogens proteins, such as Bacillus cereus, E Coli, Lanosterol 14alpha demethylase , SARS-02, and it is obtained the most expected and impactful result as an inhibitor. It is mentioned that the result of molecular docking score is -9.6 for compounds 09 and 11 against Bacillus cereus which is the highest score. But it is slightly different for E Coli -9.5 and -9.3 of compounds 10 and 07 . On the other hand, it is precious and lavish work against COVID-19 protein whereas all of the tested compounds can show good and standard inhibitor with value more than -6.0, and the -9.1, 9.0, and 8.5 for compounds 09 , 07 , and 08 , respectively. It may be revealed that methyl α-D-glucopyranoside and its ten acylated derivatives are also found as a good inhibitor against SARS-02 protein than bacteria and fungi. Moreover, all of these are non–carcinogenic and low toxic in the case of both aquatic and non-aquatic species which says us for safe use in drug discovery.info:eu-repo/semantics/openAccessSociedad Chilena de QuímicaJournal of the Chilean Chemical Society v.66 n.2 20212021-04-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-97072021000205206en10.4067/S0717-97072021000205206
institution Scielo Chile
collection Scielo Chile
language English
topic Glucopyranoside
ADMET
Molecular Docking
Drug-likeness
Toxicity
Amino Acids
spellingShingle Glucopyranoside
ADMET
Molecular Docking
Drug-likeness
Toxicity
Amino Acids
Kawsar,Sarkar M. A.
Kumer,Ajoy
COMPUTATIONAL INVESTIGATION OF METHYL α-D-GLUCOPYRANOSIDE DERIVATIVES AS INHIBITOR AGAINST BACTERIA, FUNGI AND COVID-19 (SARS-2)
description ABSTRACT For employing computational tools for drug discovery in the area of medicinal chemistry by carbohydrates, methyl α-D-glucopyranoside and its ten acylated derivatives have picked up. At first, the HOMO, LUMO, and its energy gap have been obtained by the DFT method, as well as the chemical reactivity and global descriptors, such as global softness, electron affinity, ionization potential, electronegativity, global hardness, global electrophilicity index, and chemical potential have calculated from HOMO and LUMO data. From this data, it is illustrated that the HOMO-LUMO energy gap is -9.756 to -7.756 kcal/mol while the compound 12 shows the highest energy gap and compound 10 is opposite, and the softness has recorded the range from 0.208 to 0.255, showing a small difference, while the lower softness is picked up for 12 , but 09 is reverse. The key and vital part of this study are noted as molecular docking against four pathogens proteins, such as Bacillus cereus, E Coli, Lanosterol 14alpha demethylase , SARS-02, and it is obtained the most expected and impactful result as an inhibitor. It is mentioned that the result of molecular docking score is -9.6 for compounds 09 and 11 against Bacillus cereus which is the highest score. But it is slightly different for E Coli -9.5 and -9.3 of compounds 10 and 07 . On the other hand, it is precious and lavish work against COVID-19 protein whereas all of the tested compounds can show good and standard inhibitor with value more than -6.0, and the -9.1, 9.0, and 8.5 for compounds 09 , 07 , and 08 , respectively. It may be revealed that methyl α-D-glucopyranoside and its ten acylated derivatives are also found as a good inhibitor against SARS-02 protein than bacteria and fungi. Moreover, all of these are non–carcinogenic and low toxic in the case of both aquatic and non-aquatic species which says us for safe use in drug discovery.
author Kawsar,Sarkar M. A.
Kumer,Ajoy
author_facet Kawsar,Sarkar M. A.
Kumer,Ajoy
author_sort Kawsar,Sarkar M. A.
title COMPUTATIONAL INVESTIGATION OF METHYL α-D-GLUCOPYRANOSIDE DERIVATIVES AS INHIBITOR AGAINST BACTERIA, FUNGI AND COVID-19 (SARS-2)
title_short COMPUTATIONAL INVESTIGATION OF METHYL α-D-GLUCOPYRANOSIDE DERIVATIVES AS INHIBITOR AGAINST BACTERIA, FUNGI AND COVID-19 (SARS-2)
title_full COMPUTATIONAL INVESTIGATION OF METHYL α-D-GLUCOPYRANOSIDE DERIVATIVES AS INHIBITOR AGAINST BACTERIA, FUNGI AND COVID-19 (SARS-2)
title_fullStr COMPUTATIONAL INVESTIGATION OF METHYL α-D-GLUCOPYRANOSIDE DERIVATIVES AS INHIBITOR AGAINST BACTERIA, FUNGI AND COVID-19 (SARS-2)
title_full_unstemmed COMPUTATIONAL INVESTIGATION OF METHYL α-D-GLUCOPYRANOSIDE DERIVATIVES AS INHIBITOR AGAINST BACTERIA, FUNGI AND COVID-19 (SARS-2)
title_sort computational investigation of methyl α-d-glucopyranoside derivatives as inhibitor against bacteria, fungi and covid-19 (sars-2)
publisher Sociedad Chilena de Química
publishDate 2021
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-97072021000205206
work_keys_str_mv AT kawsarsarkarma computationalinvestigationofmethyl945dglucopyranosidederivativesasinhibitoragainstbacteriafungiandcovid19sars2
AT kumerajoy computationalinvestigationofmethyl945dglucopyranosidederivativesasinhibitoragainstbacteriafungiandcovid19sars2
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