Computational investigation of phytochemicals identified from medicinal plant extracts against tuberculosis

Ponnusamy, Nirmaladevi;Pillai, Girinath;Arumugam, Mohanapriya

Description

Tuberculosis (TB) is still one of the world’s most challenging infectious diseases and the emergence of drug-resistant Mycobacterium tuberculosis poses a significant threat to the treatment of TB. Identifying new medications based on local traditional remedies has become more essential. Gas Chromatography-Mass spectrometry (GC-MS) (Perkin-Elmer, MA, USA) was used to identify potential bioactive components in Solanum surattense, Piper longum, and Alpinia galanga plants sections. The fruits and rhizomes’ chemical compositions were analyzed using solvents like petroleum ether, chloroform, ethyl acetate, and methanol. A total of 138 phytochemicals were identified, further categorized and finalized with 109 chemicals. The phytochemicals were docked with selected proteins (ethA, gyrB, and rpoB) using AutoDock Vina. The top complexes were selected and preceded with molecular dynamics simulation. It was found that the rpoB-sclareol complex is very stable, which means it could be further explored. The compounds were further studied for ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) properties. Sclareol has obeyed all the rules and it might be a potential chemical to treat TB. Communicated by Ramaswamy H. Sarma

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Metrics

Dataset Index

0.5

FAIR Score

85%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Taylor & Francis

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Molecular Biology

Field

Biochemistry, Genetics and Molecular Biology

Domain

Life Sciences

Confidence Score

61%

Source

Scholar Data Model

Keywords

BiochemistryMedicinePharmacologyBiotechnologyEnvironmental Sciences not elsewhere classifiedChemical Sciences not elsewhere classifiedEcologyFOS: Biological sciencesBiological Sciences not elsewhere classifiedInfectious DiseasesFOS: Health sciences

Normalization Factors

FT

53.85

CTw

1.00

MTw

1.00