Integrating Computational 3D-QSAR and Pharmacophore Modelling in Diverse Natural Phytochemicals Library for Targeted Therapy against Breast Cancer Estrogen Receptors-Reference-Cited by-同舟云学术

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Integrating Computational 3D-QSAR and Pharmacophore Modelling in Diverse Natural Phytochemicals Library for Targeted Therapy against Breast Cancer Estrogen Receptors

Published:2024-09 Issue: Volume: Page:100012
ISSN:3050-4759
Container-title:Next Research
language:en
Short-container-title:Next Research

Author:

Islam Sirajul,Amin Md. Al,Khanam Roksana,Mia Md. Mojnu,Habib Md. Kawsar,Mohiuddin A.K.M.,Mahmud Shahin

Publisher

Elsevier BV

Reference84 articles.

1. Breast cancer statistics;DeSantis;CA Cancer J Clin,2019

2. Epidemiological characteristics of and risk factors for breast cancer in the world;Momenimovahed;Breast Cancer: Targets and Therapy,2019

3. The role of estrogen receptor beta in breast cancer;Zhou;Biomarker Research,2020

4. Targeted Therapies for Triple-Negative Breast Cancer;Lyons;Curr Treat Options Oncol,2019

5. Preliminary phytochemical analysis, antioxidant, anti-inflammatory and anticancer activities of two Tunisian Ephedra species: Ephedra alata and Ephedra fragilis;Soumaya;South African Journal of Botany,2020

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