Literature DB >> 25579574

Computational and experimental advances in drug repositioning for accelerated therapeutic stratification.

Khader Shameer, Ben Readhead, Joel T Dudley1.   

Abstract

Drug repositioning is an important component of therapeutic stratification in the precision medicine paradigm. Molecular profiling and more sophisticated analysis of longitudinal clinical data are refining definitions of human diseases, creating needs and opportunities to re-target or reposition approved drugs for alternative indications. Drug repositioning studies have demonstrated success in complex diseases requiring improved therapeutic interventions as well as orphan diseases without any known treatments. An increasing collection of available computational and experimental methods that leverage molecular and clinical data enable diverse drug repositioning strategies. Integration of translational bioinformatics resources, statistical methods, chemoinformatics tools and experimental techniques (including medicinal chemistry techniques) can enable the rapid application of drug repositioning on an increasingly broad scale. Efficient tools are now available for systematic drug-repositioning methods using large repositories of compounds with biological activities. Medicinal chemists along with other translational researchers can play a key role in various aspects of drug repositioning. In this review article, we briefly summarize the history of drug repositioning, explain concepts behind drug repositioning methods, discuss recent computational and experimental advances and highlight available open access resources for effective drug repositioning investigations. We also discuss recent approaches in utilizing electronic health record for outcome assessment of drug repositioning and future avenues of drug repositioning in the light of targeting disease comorbidities, underserved patient communities, individualized medicine and socioeconomic impact.

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Mesh:

Year:  2015        PMID: 25579574     DOI: 10.2174/1568026615666150112103510

Source DB:  PubMed          Journal:  Curr Top Med Chem        ISSN: 1568-0266            Impact factor:   3.295


  33 in total

Review 1.  A survey of current trends in computational drug repositioning.

Authors:  Jiao Li; Si Zheng; Bin Chen; Atul J Butte; S Joshua Swamidass; Zhiyong Lu
Journal:  Brief Bioinform       Date:  2015-03-31       Impact factor: 11.622

2.  DenguePredict: An Integrated Drug Repositioning Approach towards Drug Discovery for Dengue.

Authors:  QuanQiu Wang; Rong Xu
Journal:  AMIA Annu Symp Proc       Date:  2015-11-05

Review 3.  Clinical Genomics: Challenges and Opportunities.

Authors:  Priyanka Vijay; Alexa B R McIntyre; Christopher E Mason; Jeffrey P Greenfield; Sheng Li
Journal:  Crit Rev Eukaryot Gene Expr       Date:  2016       Impact factor: 1.807

4.  Sepsis in the era of data-driven medicine: personalizing risks, diagnoses, treatments and prognoses.

Authors:  Andrew C Liu; Krishna Patel; Ramya Dhatri Vunikili; Kipp W Johnson; Fahad Abdu; Shivani Kamath Belman; Benjamin S Glicksberg; Pratyush Tandale; Roberto Fontanez; Oommen K Mathew; Andrew Kasarskis; Priyabrata Mukherjee; Lakshminarayanan Subramanian; Joel T Dudley; Khader Shameer
Journal:  Brief Bioinform       Date:  2020-07-15       Impact factor: 11.622

5.  Uncovering New Drug Properties in Target-Based Drug-Drug Similarity Networks.

Authors:  Lucreţia Udrescu; Paul Bogdan; Aimée Chiş; Ioan Ovidiu Sîrbu; Alexandru Topîrceanu; Renata-Maria Văruţ; Mihai Udrescu
Journal:  Pharmaceutics       Date:  2020-09-16       Impact factor: 6.321

6.  Reconciling multiple connectivity scores for drug repurposing.

Authors:  Kewalin Samart; Phoebe Tuyishime; Arjun Krishnan; Janani Ravi
Journal:  Brief Bioinform       Date:  2021-11-05       Impact factor: 11.622

Review 7.  Inflammatory and fibrotic mechanisms in NAFLD-Implications for new treatment strategies.

Authors:  Youngmin A Lee; Scott L Friedman
Journal:  J Intern Med       Date:  2021-09-26       Impact factor: 8.989

8.  Computational drug repositioning for peripheral arterial disease: prediction of anti-inflammatory and pro-angiogenic therapeutics.

Authors:  Liang-Hui Chu; Brian H Annex; Aleksander S Popel
Journal:  Front Pharmacol       Date:  2015-08-25       Impact factor: 5.810

Review 9.  Recent advances in drug repurposing using machine learning.

Authors:  Fabio Urbina; Ana C Puhl; Sean Ekins
Journal:  Curr Opin Chem Biol       Date:  2021-07-16       Impact factor: 8.822

10.  High-throughput screening for modulators of ACVR1 transcription: discovery of potential therapeutics for fibrodysplasia ossificans progressiva.

Authors:  Serena Cappato; Laura Tonachini; Francesca Giacopelli; Mario Tirone; Luis J V Galietta; Martina Sormani; Anna Giovenzana; Antonello E Spinelli; Barbara Canciani; Silvia Brunelli; Roberto Ravazzolo; Renata Bocciardi
Journal:  Dis Model Mech       Date:  2016-04-28       Impact factor: 5.758

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