Work

Identifying Potent Breast Cancer Inhibitors Against ERα Target Using Pharmacophore Model, 3D‐QSAR and MD Studies

Year: 2024

Type: article

Source: ChemistrySelect

DOI: 10.1002/slct.202401099

Authors: Kalirajan Rajagopal, Pandiselvi Arumugasamy, Kannan Raman, Srikanth Jupudi, Gowramma Byran, Jeetendra Kumar Gupta, S. Prema, Rani S. Kankate, Lamyae Elansari, Nazmul Hossain, Md. Abul Hassan, Safia Obaidur Rab, Mohammed Ali Alshehri, Talha Bin Emran

Institutions: JSS Academy of Higher Education and Research, GLA University, B.S. Abdur Rahman Crescent Institute of Science & Technology, Sidi Mohamed Ben Abdellah University, Daffodil International University, State University of Bangladesh, King Khalid University, University of Tabuk, BGC Trust University Bangladesh

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4401750453

FWCI: 0.401

Cites: 14

Cited by: 2

Related to: 10