New uses for old drugs

By C. Chong, D. Sullivan. Nature, 2007

1,017 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Economics and Econometrics, Pharmacology

View Paper: https://www.semanticscholar.org/paper/2031832347f8f0c8b69104174db92e5c4d08a81c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. David S. Wishart
2. Atul J. Butte
3. Joel T. Dudley
4. Philippe Sanseau
5. Pankaj Agarwal
6. Lun Yang
7. Mehmet Gönen

In Pharmacology

1. David S. Wishart
2. Philippe Sanseau
3. David L. Paterson
4. Pankaj Agarwal
5. Lun Yang
6. Mehmet Gönen

Citations in the corpus

• Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases (2018, positive): “Drug repurposing is an important research area since the approved drugs are already tested for safety issues; therefore, the cost and the required time for marketing repurposed drugs is much less than discovering and marketing novel drugs [15].”
• The NCGC Pharmaceutical Collection: A comprehensive resource of clinically approved drugs enabling repurposing and chemical genomics (2011, background): “Previous estimates of the number of “FDA-approved” drugs for screening have ranged from 1382 (61) to 6534 (35) and of approved drugs worldwide up to 9990 (22).”
• Antimicrobial Resistance in ESKAPE Pathogens (2020, background): “Repurposing existing drugs represents a viable alternative to de novo drug discovery and favorably reduces the time, cost, and risk associated with drug innovation (446).”
• Discovery and preclinical validation of drug indications using compendia of public gene expression data (2011, background): “A substantial portion of drug development costs are incurred during early development and toxicity testing, with more than 90% of drugs failing to move beyond these early stages (3).”
• Computational Drug Repositioning: From Data to Therapeutics (2013, background): “In some recent instances, serendipity has played a part in the identification of new indications leading to repositioning 8 —most famously, the repositioning of sildenafil citrate from an anti-angina drug to Traditionally, most drugs have been discovered using phenotypic or target-based screens.”
• DrugBank: a knowledgebase for drugs, drug actions and drug targets (2007, background): “Since its initial release, DrugBank has been used in a wide range of applications including in silico drug discovery (9), drug ‘rejuvenation’ (10), drug docking or screening (11), drug metabolism prediction (12), drug target prediction (13) and general pharmaceutical education.”
• Combination therapy in combating cancer (2017, background): “Drug re-purposing is a therapeutic approach where current pharmaceutical agents primarily used for non-cancerous diseases are being used for cancer treatment [26].”