Machine learning-based QSAR modeling, molecular docking, dynamics simulation studies for cytotoxicity prediction in MDA-MB231 triple-negative breast cancer cell line

Author:

Khan Sana,Sarfraz Aqib,Prakash Om,Khan FerozORCID

Funder

Indian Council of Medical Research

Central Institute of Medicinal and Aromatic Plants

Publisher

Elsevier BV

Reference42 articles.

1. WHO-(2020) [International agency for research in cancer WHO [https://gco.iarc.fr/today/data/factsheets/cancers/20-Breast-fact-sheet.pdf] [Source: Globocan].

2. MET is a potential target for use in combination therapy with EGFR inhibition in triple-negative/basal-like breast cancer;Kim;IJC,2014

3. The clonal and mutational evolution spectrum of primary triple negative breast cancers;Shah;Nature,2012

4. Molecular classification and molecular forecasting of breast cancer: ready for clinical application?;Brenton;J. Clin. Oncol.,2005

5. Identification of human triple negative breast cancer subtypes and preclinical models for selection of targeted therapies;Lehmann;J. Clin. Investig.,2011

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