Literature DB >> 27193464

Current situation and future usage of anticancer drug databases.

Hongzhi Wang1, Yuanyuan Yin2, Peiqi Wang2, Chenyu Xiong3,4, Lingyu Huang3,4, Sijia Li2, Xinyi Li2, Leilei Fu5.   

Abstract

Cancer is a deadly disease with increasing incidence and mortality rates and affects the life quality of millions of people per year. The past 15 years have witnessed the rapid development of targeted therapy for cancer treatment, with numerous anticancer drugs, drug targets and related gene mutations been identified. The demand for better anticancer drugs and the advances in database technologies have propelled the development of databases related to anticancer drugs. These databases provide systematic collections of integrative information either directly on anticancer drugs or on a specific type of anticancer drugs with their own emphases on different aspects, such as drug-target interactions, the relationship between mutations in drug targets and drug resistance/sensitivity, drug-drug interactions, natural products with anticancer activity, anticancer peptides, synthetic lethality pairs and histone deacetylase inhibitors. We focus on a holistic view of the current situation and future usage of databases related to anticancer drugs and further discuss their strengths and weaknesses, in the hope of facilitating the discovery of new anticancer drugs with better clinical outcomes.

Entities:  

Keywords:  Anticancer drugs; Databases; Drug discovery; Targeted therapy

Mesh:

Substances:

Year:  2016        PMID: 27193464     DOI: 10.1007/s10495-016-1250-5

Source DB:  PubMed          Journal:  Apoptosis        ISSN: 1360-8185            Impact factor:   4.677


  4 in total

1.  Sorbus commixta water extract induces apoptotic cell death via a ROS-dependent pathway.

Authors:  Seong-Cheol Moon; Hee-Jung Choi; Tae-Wook Chung; Jung-Hee Lee; Syng-Ook Lee; Myeong Ho Jung; Byung Joo Kim; Jun-Yong Choi; Ki-Tae Ha
Journal:  Oncol Lett       Date:  2018-07-25       Impact factor: 2.967

Review 2.  Breakthroughs in modern cancer therapy and elusive cardiotoxicity: Critical research-practice gaps, challenges, and insights.

Authors:  Ping-Pin Zheng; Jin Li; Johan M Kros
Journal:  Med Res Rev       Date:  2017-09-01       Impact factor: 12.944

3.  The additive effects of atorvastatin and insulin on renal function and renal organic anion transporter 3 function in diabetic rats.

Authors:  Laongdao Thongnak; Anchalee Pongchaidecha; Krit Jaikumkao; Varanuj Chatsudthipong; Nipon Chattipakorn; Anusorn Lungkaphin
Journal:  Sci Rep       Date:  2017-10-19       Impact factor: 4.379

4.  Cancer Drug Response Profile scan (CDRscan): A Deep Learning Model That Predicts Drug Effectiveness from Cancer Genomic Signature.

Authors:  Yoosup Chang; Hyejin Park; Hyun-Jin Yang; Seungju Lee; Kwee-Yum Lee; Tae Soon Kim; Jongsun Jung; Jae-Min Shin
Journal:  Sci Rep       Date:  2018-06-11       Impact factor: 4.379

  4 in total

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