A computational approach to validate novel drug targets of gentianine from Swertiya chirayita in Plasmodium falciparum. (October 2020)
- Record Type:
- Journal Article
- Title:
- A computational approach to validate novel drug targets of gentianine from Swertiya chirayita in Plasmodium falciparum. (October 2020)
- Main Title:
- A computational approach to validate novel drug targets of gentianine from Swertiya chirayita in Plasmodium falciparum
- Authors:
- Mahapatra, Rajani Kanta
Das, Mahin - Abstract:
- Abstract: Gentianine is one of the compounds found in the plant Swertiya chirayita that is known for its antimalarial activity. However, its exact molecular mechanism of action is yet to be understood. In our present study, we applied several computational approaches to filter out and determine possible targets of gentianine in Plasmodium falciparum 3D7. Protein-protein networks formed the basis of one of our strategies along with orthologous protein analysis to establish essentiality. Out of 6 essential proteins from unique pathways, haloacid dehalogenase like-hydrolase ( Pf HAD1), phosphoenolpyruvate carboxykinase ( Pf PEPCK) and fumarate hydratase ( Pf FH) were screened as drug targets through this approach. Through our other strategy we established the predicted IC50 (PIC50) value of gentianine with a set of molecular descriptors from 123 Pathogen Box anti-malarial compounds. Afterwards through 2D structural similarity, L-lactate dehydrogenase ( Pf LDH) was established as another possible target. In our work, we performed in silico docking and analysed the binding of gentianine to the proteins. All of the proteins were reported with favourable binding results and were considered for complex molecular dynamics simulation approach. Our research clears up the molecular mechanism of antimalarial activity of gentianine to some extent paving way for experimental validation of the same in future. Highlights: A structure based screening approach has been applied to identifyAbstract: Gentianine is one of the compounds found in the plant Swertiya chirayita that is known for its antimalarial activity. However, its exact molecular mechanism of action is yet to be understood. In our present study, we applied several computational approaches to filter out and determine possible targets of gentianine in Plasmodium falciparum 3D7. Protein-protein networks formed the basis of one of our strategies along with orthologous protein analysis to establish essentiality. Out of 6 essential proteins from unique pathways, haloacid dehalogenase like-hydrolase ( Pf HAD1), phosphoenolpyruvate carboxykinase ( Pf PEPCK) and fumarate hydratase ( Pf FH) were screened as drug targets through this approach. Through our other strategy we established the predicted IC50 (PIC50) value of gentianine with a set of molecular descriptors from 123 Pathogen Box anti-malarial compounds. Afterwards through 2D structural similarity, L-lactate dehydrogenase ( Pf LDH) was established as another possible target. In our work, we performed in silico docking and analysed the binding of gentianine to the proteins. All of the proteins were reported with favourable binding results and were considered for complex molecular dynamics simulation approach. Our research clears up the molecular mechanism of antimalarial activity of gentianine to some extent paving way for experimental validation of the same in future. Highlights: A structure based screening approach has been applied to identify possible targets of gentianine. The targets of gentianine was established through 2D similarity search and PIC50 values. Molecular modeling and simlaton study was perormed to understand the binding conformations of gentianine. … (more)
- Is Part Of:
- Bio systems. Volume 196(2020)
- Journal:
- Bio systems
- Issue:
- Volume 196(2020)
- Issue Display:
- Volume 196, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 196
- Issue:
- 2020
- Issue Sort Value:
- 2020-0196-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-10
- Subjects:
- Gentianine -- Malaria -- Molecular dynamics -- Network analysis -- Molecular docking -- 2D structural dsimilarity
Biological systems -- Periodicals
Biology -- Periodicals
Biology -- Periodicals
Evolution -- Periodicals
Biologie -- Périodiques
Évolution -- Périodiques
570 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03032647 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.biosystems.2020.104175 ↗
- Languages:
- English
- ISSNs:
- 0303-2647
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 2089.670000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13815.xml