scholarly journals Cancer megafunds with in silico and in vitro validation: accelerating cancer drug discovery via financial engineering without financial crisis

Oncotarget ◽  
2016 ◽  
Vol 7 (36) ◽  
pp. 57671-57678 ◽  
Author(s):  
Xianjin Yang ◽  
Edouard Debonneuil ◽  
Alex Zhavoronkov ◽  
Bud Mishra
Keyword(s):  
Drug Discovery ◽  
Financial Crisis ◽  
In Silico ◽  
Financial Engineering ◽  
Cancer Drug ◽  
Cancer Drug Discovery

Abstract 4741: Improving pancreatic cancer drug discovery by leveraging genomics to select better in vitro models

2015 ◽  
Author(s):  
Yoonjeong Cha ◽  
Andrew Lysaght ◽  
Rain Cui ◽  
Brian Weiner ◽  
Sarah Kolitz ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Drug Discovery ◽  
In Vitro Models ◽  
Cancer Drug ◽  
Cancer Drug Discovery

Bioinformatics Approaches for Anti-cancer Drug Discovery

2019 ◽  
Vol 21 (1) ◽  
pp. 3-17 ◽  
Author(s):  
Kening Li ◽  
Yuxin Du ◽  
Lu Li ◽  
Dong-Qing Wei
Keyword(s):  
Drug Discovery ◽  
Cancer Therapy ◽  
Biological Network ◽  
Computational Prediction ◽  
Cancer Drug ◽  
Cancer Drugs ◽  
Cancer Drug Discovery ◽  
Anti Cancer

Drug discovery is important in cancer therapy and precision medicines. Traditional approaches of drug discovery are mainly based on in vivo animal experiments and in vitro drug screening, but these methods are usually expensive and laborious. In the last decade, omics data explosion provides an opportunity for computational prediction of anti-cancer drugs, improving the efficiency of drug discovery. High-throughput transcriptome data were widely used in biomarkers’ identification and drug prediction by integrating with drug-response data. Moreover, biological network theory and methodology were also successfully applied to the anti-cancer drug discovery, such as studies based on protein-protein interaction network, drug-target network and disease-gene network. In this review, we summarized and discussed the bioinformatics approaches for predicting anti-cancer drugs and drug combinations based on the multi-omic data, including transcriptomics, toxicogenomics, functional genomics and biological network. We believe that the general overview of available databases and current computational methods will be helpful for the development of novel cancer therapy strategies.

Innovative in vitro models for breast cancer drug discovery

2016 ◽  
Vol 21 ◽  
pp. 11-16 ◽  
Author(s):  
Elke Kaemmerer ◽  
Tayner E. Rodriguez Garzon ◽  
Aaron M. Lock ◽  
Carrie J. Lovitt ◽  
Vicky M. Avery
Keyword(s):  
Breast Cancer ◽  
Drug Discovery ◽  
In Vitro Models ◽  
Cancer Drug ◽  
Cancer Drug Discovery

Scaffold Repurposing of Old Drugs Towards New Cancer Drug Discovery

2016 ◽  
Vol 16 (19) ◽  
pp. 2107-2114 ◽  
Author(s):  
Haijun Chen ◽  
Jianlei Wu ◽  
Yu Gao ◽  
Haiying Chen ◽  
Jia Zhou
Keyword(s):  
Drug Discovery ◽  
Cancer Drug ◽  
Cancer Drug Discovery ◽  
Old Drugs

Natural Sesquiterpene Lactones in the Prevention and Treatment of Inflammatory Disorders and cancer: A Systematic Study of this Emerging Therapeutic Approach based on Chemical and Pharmacological Aspect

2020 ◽  
Vol 17 (9) ◽  
pp. 1102-1116
Author(s):  
Sudip Kumar Mandal ◽  
Utsab Debnath ◽  
Amresh Kumar ◽  
Sabu Thomas ◽  
Subhash Chandra Mandal ◽  
...  
Keyword(s):  
Drug Discovery ◽  
Biological Activities ◽  
Sesquiterpene Lactones ◽  
Structural Diversity ◽  
Cancer Drug ◽  
Cancer Drug Discovery ◽  
Anti Cancer ◽  
Drug Discovery Program ◽  
Anti Inflammatory ◽  
Family Based

Background and Introduction: Sesquiterpene lactones are a class of secondary metabolite that contains sesquiterpenoids and lactone ring as pharmacophore moiety. A large group of bioactive secondary metabolites such as phytopharmaceuticals belong to this category. From the Asteraceae family-based medicinal plants, more than 5,000 sesquiterpene lactones have been reported so far. Sesquiterpene lactone-based pharmacophore moieties hold promise for broad-spectrum biological activities against cancer, inflammation, parasitic, bacterial, fungal, viral infection and other functional disorders. Moreover, these moiety based phytocompounds have been highlighted with a new dimension in the natural drug discovery program worldwide after the 2015 Medicine Nobel Prize achieved by the Artemisinin researchers. Objective: These bitter substances often contain an α, β-unsaturated-γ-lactone as a major structural backbone, which in recent studies has been explored to be associated with anti-tumor, cytotoxic, and anti-inflammatory action. Recently, the use of sesquiterpene lactones as phytomedicine has been increased. This study will review the prospect of sesquiterpene lactones against inflammation and cancer. Methods: Hence, we emphasized on the different features of this moiety by incorporating its structural diversity on biological activities to explore structure-activity relationships (SAR) against inflammation and cancer. Results: How the dual mode of action such as anti-inflammatory and anti-cancer has been exhibitedby these phytopharmaceuticals will be forecasted in this study. Furthermore, the correlation of anti-inflammatory and anti-cancer activity executed by the sesquiterpene lactones for fruitful phytotherapy will also be revealed in the present review in the milieu of pharmacophore activity relation and pharmacodynamics study as well. Conclusion: So, these metabolites are paramount in phytopharmacological aspects. The present discussion on the future prospect of this moiety based on the reported literature could be a guide for anti-inflammatory and anti-cancer drug discovery programs for the upcoming researchers.

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