Network biology and artificial intelligence drive the understanding of the multidrug resistance phenotype in cancer-Reference-Cited by-同舟云学术

Network biology and artificial intelligence drive the understanding of the multidrug resistance phenotype in cancer

Published:2022-01 Issue: Volume:60 Page:100811
ISSN:1368-7646
Container-title:Drug Resistance Updates
language:en
Short-container-title:Drug Resistance Updates

Author:

Bueschbell Beatriz,Caniceiro Ana Beatriz,Suzano Pedro M.S.,Machuqueiro Miguel,Rosário-Ferreira Nícia,Moreira Irina S.

Funder

European Regional Development Fund

Fundação para a Ciência e a Tecnologia

Publisher

Elsevier BV

Subject

Pharmacology (medical),Infectious Diseases,Cancer Research,Pharmacology,Oncology

Reference616 articles.

1. AACR project GENIE: powering precision medicine through an international consortium;AACR Project GENIE Consortium;Cancer Discov.,2017

2. Extracellular disposal of tumor-suppressor miRs-145 and -34a via microvesicles and 5-FU resistance of human colon cancer cells;Akao;Int. J. Mol. Sci.,2014

3. Integration of gene expression data into genome-scale metabolic models;Akesson;Metab. Eng.,2004

4. Context likelihood of relatedness with maximal information coefficient for Gene regulatory network inference;Akhand;2015 18th International Conference on Computer and Information Technology (ICCIT),2015

5. Prediction of drug sensitivity and drug resistance in cancer by transcriptional and proteomic profiling;Alaoui-Jamali;Drug Resist. Updat.,2004

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Role of Intracellular and Extracellular Vesicles in the Development of Therapy Resistance in Cancer;Current Pharmaceutical Design;2024-10

2. Harnessing machine learning potential for personalised drug design and overcoming drug resistance;Journal of Drug Targeting;2024-06-13

3. Advancing Drug Safety in Drug Development: Bridging Computational Predictions for Enhanced Toxicity Prediction;Chemical Research in Toxicology;2024-05-17

4. Schiff bases and their metal complexes to target and overcome (multidrug) resistance in cancer;European Journal of Medicinal Chemistry;2024-04

5. Machine learning based on optimal VOI of multi-sequence MR images to predict lymphovascular invasion in invasive breast cancer;Heliyon;2024-04