Identifying potential dopamine receptor D2 antagonist from Rauwolfia serpentina An in-silico virtual screening approach
Chakraborty, S.; Bhowmick, S.; Maiti, T.
Show abstract
BackgroundTo combat the alarming rise of neuropsychiatric diseases like Schizophrenia, new drugs with fewer side effects have to be identified and characterized for the symptomatic treatment of Scz. Positive symptoms associated with Scz are hallucinations and delusions mainly due to the overactivation of the D2 dopaminergic receptors in the cortical pathways. D2 receptor antagonists identified from Rauwolfia serpentina are employed for controlling positive symptoms. Materials and methodsThe IMPPAT database was used to identify phytoconstituents from the root of Rauwolfia serpentina that can be used for antagonizing D2 dopaminergic receptor. 39 compounds were identified and SDF files were obtained from the PubChem database molecular docking with the modelled dopamine D2 receptor was used as a virtual screening tool followed by ADMET screening of the potential lead compound. ResultsAfter docking analysis, 11 compounds having binding affinity [≥] -9 kcal/mol were shortlisted for ADMET analysis. After analysis, 4 compounds (1,2-dihydrovomilenine, Corynanthine, Rauwolscine, and Yohimbine) were identified as potential leads. Among these 4 compounds, 1,2-dihydrovomelenine has been identified as the lead compound. ConclusionThe present study identified a potential new therapeutic compound that can be used for controlling the positive symptoms of Scz patients in vitro as well as in vivo.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Identification of Natural Antiviral Drug Candidates Against Tilapia Lake Virus: Computational Drug Design Approaches 97%
- Molecular docking, simulation and binding free energy analysis of small molecules as PfHT1 inhibitors 96%
- Exploring the cytotoxic mechanisms of Pediocin PA-1 towards HeLa and HT29 cells by comparison to known bacteriocins: Microcin E492, Enterocin Heterodimer and Divercin V41. 96%
Similar papers in this journal
- Identification of multi-targeting and synergistic neuromodulators of epilepsy associated protein-targets in Ayurvedic herbs using network pharmacological approach 95%
- In vitro screening of anti-viral and virucidal effects against SARS-CoV-2 by Hypericum perforatum and Echinacea. 95%
- Mechanistic insights into the Japanese Encephalitis Virus RNA dependent RNA polymerase protein inhibition by bioflavonoids from Azadirachta indica 94%
Similar papers in this journal
- Molecular Docking studies of Phytocompounds of Rheum emodi Wall with proteins responsible for antibiotic resistance in bacterial and fungal pathogens: In silico approach to enhance the bio-availability of antibiotics 97%
- A program to automate the discovery of drugs for West Nile and Dengue virus -- programmatic screening of over a billion compounds on PubChem, generation of drug leads and automated In Silico modelling 96%
- Pharmacophore modeling, 2D-QSAR, Molecular Docking and ADME studies for the discovery of inhibitors of PBP2a in MRSA 96%
Similar papers in this journal
- Analyses of spike protein from first deposited sequences of SARS-CoV2 from West Bengal, India 93%
- Glibenclamide, ATP and Metformin Increases the Expression of Human Bile Salt Export Pump ABCB11 93%
- Atopic Biomarker Changes after Exposure to Porphyromonas gingivalis Lipopolysaccharide: A Small Experimental Study in Wistar Rat 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.