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Using response surface models to analyze drug combinations

Published:2021-08 Issue:8 Volume:26 Page:2014-2024
ISSN:1359-6446
Container-title:Drug Discovery Today
language:en
Short-container-title:Drug Discovery Today

Author:

Twarog Nathaniel R.,Martinez Nancy E.,Gartrell Jessica,Xie Jia,Tinkle Christopher L.,Shelat Anang A.

Funder

National Cancer Institute

American Lebanese Syrian Associated Charities

Publisher

Elsevier BV

Subject

Drug Discovery,Pharmacology

Reference47 articles.

1. Fulvestrant reverses doxorubicin resistance in multidrug-resistant breast cell lines independent of estrogen receptor expression;Huang;Oncol Rep,2017

2. Histone deacetylase inhibitors: mechanisms of cell death and promise in combination cancer therapy;Carew;Cancer Lett,2008

3. A novel doxorubicin-mitomycin C co-encapsulated nanoparticle formulation exhibits anti-cancer synergy in multidrug resistant human breast cancer cells;Shuhendler;Breast Cancer Res Treat,2010

4. Molecular-targeted agents combination therapy for cancer: developments and potentials;Li;Int J Cancer,2014

5. An updated systematic overview of triple combination therapy in antiretroviral-naive HIV-infected adults;Bartlett;AIDS,2006

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4. SİNERJİSTİK İLAÇ KOMBİNASYONLARININ ANALİZİNDE GÜNCEL MATEMATİKSEL VE İSTATİSTİKSEL YÖNTEMLER;Ankara Universitesi Eczacilik Fakultesi Dergisi;2023-05-30

5. Systematic review of computational methods for drug combination prediction;Computational and Structural Biotechnology Journal;2022

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