Cargando…

Structure-Based In Silico Investigation of Agonists for Proteins Involved in Breast Cancer

Cancer is recognized as one of the main causes of mortality worldwide by the World Health Organization. The high cost of currently available cancer therapy and certain limitations of current treatment make it necessary to search for novel, cost-effective, and efficient methods of cancer treatment. T...

Descripción completa

Detalles Bibliográficos
Autores principales: Roy, Arpita, Anand, Ashutosh, Garg, Saksham, Khan, Mohd Shahnawaz, Bhasin, Sidharth, Asghar, Muhammad Nadeem, Emran, Talha Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8758269/
https://www.ncbi.nlm.nih.gov/pubmed/35035508
http://dx.doi.org/10.1155/2022/7278731
_version_ 1784632861278601216
author Roy, Arpita
Anand, Ashutosh
Garg, Saksham
Khan, Mohd Shahnawaz
Bhasin, Sidharth
Asghar, Muhammad Nadeem
Emran, Talha Bin
author_facet Roy, Arpita
Anand, Ashutosh
Garg, Saksham
Khan, Mohd Shahnawaz
Bhasin, Sidharth
Asghar, Muhammad Nadeem
Emran, Talha Bin
author_sort Roy, Arpita
collection PubMed
description Cancer is recognized as one of the main causes of mortality worldwide by the World Health Organization. The high cost of currently available cancer therapy and certain limitations of current treatment make it necessary to search for novel, cost-effective, and efficient methods of cancer treatment. Therefore, in the current investigation, sixty-two compounds from five medicinal plants (Tinospora cordifolia, Ocimum tenuiflorum, Podophyllum hexandrum, Andrographis paniculata, and Beta vulgaris) and two proteins that are associated with breast cancer, i.e., HER4/ErbB4 kinase and ERα were selected. Selected compounds were screened using Lipinski's rule, which resulted in eighteen molecules being ruled out. The remaining forty-four compounds were then taken forward for docking studies followed by molecular dynamics studies of the best screened complexes. Results showed that isocolumbin, isopropylideneandrographolide, and 14-acetylandrographolide were potential lead compounds against the selected breast cancer receptors. Furthermore, in vitro studies are required to confirm the efficacy of the lead compounds.
format Online
Article
Text
id pubmed-8758269
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-87582692022-01-14 Structure-Based In Silico Investigation of Agonists for Proteins Involved in Breast Cancer Roy, Arpita Anand, Ashutosh Garg, Saksham Khan, Mohd Shahnawaz Bhasin, Sidharth Asghar, Muhammad Nadeem Emran, Talha Bin Evid Based Complement Alternat Med Research Article Cancer is recognized as one of the main causes of mortality worldwide by the World Health Organization. The high cost of currently available cancer therapy and certain limitations of current treatment make it necessary to search for novel, cost-effective, and efficient methods of cancer treatment. Therefore, in the current investigation, sixty-two compounds from five medicinal plants (Tinospora cordifolia, Ocimum tenuiflorum, Podophyllum hexandrum, Andrographis paniculata, and Beta vulgaris) and two proteins that are associated with breast cancer, i.e., HER4/ErbB4 kinase and ERα were selected. Selected compounds were screened using Lipinski's rule, which resulted in eighteen molecules being ruled out. The remaining forty-four compounds were then taken forward for docking studies followed by molecular dynamics studies of the best screened complexes. Results showed that isocolumbin, isopropylideneandrographolide, and 14-acetylandrographolide were potential lead compounds against the selected breast cancer receptors. Furthermore, in vitro studies are required to confirm the efficacy of the lead compounds. Hindawi 2022-01-06 /pmc/articles/PMC8758269/ /pubmed/35035508 http://dx.doi.org/10.1155/2022/7278731 Text en Copyright © 2022 Arpita Roy et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Roy, Arpita
Anand, Ashutosh
Garg, Saksham
Khan, Mohd Shahnawaz
Bhasin, Sidharth
Asghar, Muhammad Nadeem
Emran, Talha Bin
Structure-Based In Silico Investigation of Agonists for Proteins Involved in Breast Cancer
title Structure-Based In Silico Investigation of Agonists for Proteins Involved in Breast Cancer
title_full Structure-Based In Silico Investigation of Agonists for Proteins Involved in Breast Cancer
title_fullStr Structure-Based In Silico Investigation of Agonists for Proteins Involved in Breast Cancer
title_full_unstemmed Structure-Based In Silico Investigation of Agonists for Proteins Involved in Breast Cancer
title_short Structure-Based In Silico Investigation of Agonists for Proteins Involved in Breast Cancer
title_sort structure-based in silico investigation of agonists for proteins involved in breast cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8758269/
https://www.ncbi.nlm.nih.gov/pubmed/35035508
http://dx.doi.org/10.1155/2022/7278731
work_keys_str_mv AT royarpita structurebasedinsilicoinvestigationofagonistsforproteinsinvolvedinbreastcancer
AT anandashutosh structurebasedinsilicoinvestigationofagonistsforproteinsinvolvedinbreastcancer
AT gargsaksham structurebasedinsilicoinvestigationofagonistsforproteinsinvolvedinbreastcancer
AT khanmohdshahnawaz structurebasedinsilicoinvestigationofagonistsforproteinsinvolvedinbreastcancer
AT bhasinsidharth structurebasedinsilicoinvestigationofagonistsforproteinsinvolvedinbreastcancer
AT asgharmuhammadnadeem structurebasedinsilicoinvestigationofagonistsforproteinsinvolvedinbreastcancer
AT emrantalhabin structurebasedinsilicoinvestigationofagonistsforproteinsinvolvedinbreastcancer