Literature DB >> 31568815

Systems biology based drug repositioning for development of cancer therapy.

Beste Turanli1, Ozlem Altay2, Jan Borén3, Hasan Turkez4, Jens Nielsen5, Mathias Uhlen2, Kazim Yalcin Arga6, Adil Mardinoglu7.   

Abstract

Drug repositioning is a powerful method that can assists the conventional drug discovery process by using existing drugs for treatment of a disease rather than its original indication. The first examples of repurposed drugs were discovered serendipitously, however data accumulated by high-throughput screenings and advancements in computational biology methods have paved the way for rational drug repositioning methods. As chemotherapeutic agents have notorious side effects that significantly reduce quality of life, drug repositioning promises repurposed noncancer drugs with little or tolerable adverse effects for cancer patients. Here, we review current drug-related data types and databases including some examples of web-based drug repositioning tools. Next, we describe systems biology approaches to be used in drug repositioning for effective cancer therapy. Finally, we highlight examples of mostly repurposed drugs for cancer treatment and provide an overview of future expectations in the field for development of effective treatment strategies.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cancer; Drug repositioning; Network-based approaches; Signature-based approaches; Systems biology

Mesh:

Substances:

Year:  2019        PMID: 31568815     DOI: 10.1016/j.semcancer.2019.09.020

Source DB:  PubMed          Journal:  Semin Cancer Biol        ISSN: 1044-579X            Impact factor:   15.707


  14 in total

Review 1.  Towards the routine use of in silico screenings for drug discovery using metabolic modelling.

Authors:  Tamara Bintener; Maria Pires Pacheco; Thomas Sauter
Journal:  Biochem Soc Trans       Date:  2020-06-30       Impact factor: 5.407

Review 2.  Current Status of COVID-19 Therapies and Drug Repositioning Applications.

Authors:  Ozlem Altay; Elyas Mohammadi; Simon Lam; Hasan Turkez; Jan Boren; Jens Nielsen; Mathias Uhlen; Adil Mardinoglu
Journal:  iScience       Date:  2020-06-20

3.  Centrality Analysis of Protein-Protein Interaction Networks and Molecular Docking Prioritize Potential Drug-Targets in Type 1 Diabetes.

Authors:  Asma Soofi; Mohammad Taghizadeh; Seyyed Mohammad Tabatabaei; Mostafa Rezaei Tavirani; Heeva Shakib; Saeed Namaki; Nahid Safari Alighiarloo
Journal:  Iran J Pharm Res       Date:  2020       Impact factor: 1.696

Review 4.  Targeting Reactive Oxygen Species Capacity of Tumor Cells with Repurposed Drug as an Anticancer Therapy.

Authors:  Jiabing Wang; Dongsheng Sun; Lili Huang; Shijian Wang; Yong Jin
Journal:  Oxid Med Cell Longev       Date:  2021-09-07       Impact factor: 6.543

Review 5.  Systems-level biomarkers identification and drug repositioning in colorectal cancer.

Authors:  Hande Beklen; Esra Yildirim; Medi Kori; Beste Turanli; Kazim Yalcin Arga
Journal:  World J Gastrointest Oncol       Date:  2021-07-15

6.  A Gene Co-Expression Network-Based Drug Repositioning Approach Identifies Candidates for Treatment of Hepatocellular Carcinoma.

Authors:  Meng Yuan; Koeun Shong; Xiangyu Li; Sajda Ashraf; Mengnan Shi; Woonghee Kim; Jens Nielsen; Hasan Turkez; Saeed Shoaie; Mathias Uhlen; Cheng Zhang; Adil Mardinoglu
Journal:  Cancers (Basel)       Date:  2022-03-19       Impact factor: 6.639

7.  Construction, comparison and evolution of networks in life sciences and other disciplines.

Authors:  Deisy Morselli Gysi; Katja Nowick
Journal:  J R Soc Interface       Date:  2020-05-06       Impact factor: 4.118

8.  Pan-cancer mapping of differential protein-protein interactions.

Authors:  Gizem Gulfidan; Beste Turanli; Hande Beklen; Raghu Sinha; Kazim Yalcin Arga
Journal:  Sci Rep       Date:  2020-02-24       Impact factor: 4.379

9.  Classification of clear cell renal cell carcinoma based on PKM alternative splicing.

Authors:  Xiangyu Li; Beste Turanli; Kajetan Juszczak; Woonghee Kim; Muhammad Arif; Yusuke Sato; Seishi Ogawa; Hasan Turkez; Jens Nielsen; Jan Boren; Mathias Uhlen; Cheng Zhang; Adil Mardinoglu
Journal:  Heliyon       Date:  2020-02-19

Review 10.  Systems Biology Approaches to Decipher the Underlying Molecular Mechanisms of Glioblastoma Multiforme.

Authors:  Ali Kaynar; Ozlem Altay; Xiangyu Li; Cheng Zhang; Hasan Turkez; Mathias Uhlén; Saeed Shoaie; Adil Mardinoglu
Journal:  Int J Mol Sci       Date:  2021-12-08       Impact factor: 5.923

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