Display options
Cite
Qian T, Zhu S, Hoshida Y. Use of big data in drug development for precision medicine: an update. Expert Rev Precis Med Drug Dev. 2019;4(3):189-200doi: 10.1080/23808993.2019.1617632.
Qian, T., Zhu, S., & Hoshida, Y. (2019). Use of big data in drug development for precision medicine: an update. Expert review of precision medicine and drug development, 4(3), 189-200. https://doi.org/10.1080/23808993.2019.1617632
Qian, Tongqi, et al. "Use of big data in drug development for precision medicine: an update." Expert review of precision medicine and drug development vol. 4,3 (2019): 189-200. doi: https://doi.org/10.1080/23808993.2019.1617632
Qian T, Zhu S, Hoshida Y. Use of big data in drug development for precision medicine: an update. Expert Rev Precis Med Drug Dev. 2019;4(3):189-200. doi: 10.1080/23808993.2019.1617632. Epub 2019 May 20. PMID: 31286058; PMCID: PMC6613936.
Copy Download .nbib Format: NLM
Share it on

Expert Rev Precis Med Drug Dev. 2019;4(3):189-200. doi: 10.1080/23808993.2019.1617632. Epub 2019 May 20.

Use of big data in drug development for precision medicine: an update.

Expert review of precision medicine and drug development

Tongqi Qian, Shijia Zhu, Yujin Hoshida

Affiliations

  1. Department of Genetics and Genomic Sciences and Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  2. Liver Tumor Translational Research Program, Simmons Comprehensive Cancer Center, Division of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.

PMID: 31286058 PMCID: PMC6613936 DOI: 10.1080/23808993.2019.1617632

Abstract

INTRODUCTION: Big-data-driven drug development resources and methodologies have been evolving with ever-expanding data from large-scale biological experiments, clinical trials, and medical records from participants in data collection initiatives. The enrichment of biological- and clinical-context-specific large-scale data has enabled computational inference more relevant to real-world biomedical research, particularly identification of therapeutic targets and drugs for specific diseases and clinical scenarios.

AREAS COVERED: Here we overview recent progresses made in the fields: new big-data-driven approach to therapeutic target discovery, candidate drug prioritization, inference of clinical toxicity, and machine-learning methods in drug discovery.

EXPERT OPINION: In the near future, much larger volumes and complex datasets for precision medicine will be generated, e.g., individual and longitudinal multi-omic, and direct-to-consumer datasets. Closer collaborations between experts with different backgrounds would also be required to better translate analytic results into prognosis and treatment in the clinical practice. Meanwhile, cloud computing with protected patient privacy would become more routine analytic practice to fill the gaps within data integration along with the advent of big-data. To conclude, integration of multitudes of data generated for each individual along with techniques tailored for big-data analytics may eventually enable us to achieve precision medicine.

Keywords: Big data; drug development; high-throughput screen; in silico drug discovery; machine learning; precision medicine

Conflict of interest statement

Declaration of interest The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or

References

  1. Nature. 2002 Jan 31;415(6871):530-6 - PubMed
  2. N Engl J Med. 2002 Dec 19;347(25):1999-2009 - PubMed
  3. J Chem Inf Comput Sci. 2003 Nov-Dec;43(6):1947-58 - PubMed
  4. Science. 2004 Oct 22;306(5696):636-40 - PubMed
  5. Neural Comput. 2006 Jul;18(7):1527-54 - PubMed
  6. Science. 2006 Sep 29;313(5795):1929-35 - PubMed
  7. Cancer Cell. 2006 Oct;10(4):321-30 - PubMed
  8. Proc Natl Acad Sci U S A. 2007 May 22;104(21):8685-90 - PubMed
  9. Nat Genet. 2008 Feb;40(2):189-97 - PubMed
  10. Toxicol Appl Pharmacol. 2008 Nov 15;233(1):7-13 - PubMed
  11. Nucleic Acids Res. 2009 Jan;37(Database issue):D295-9 - PubMed
  12. Bioinformatics. 2009 Mar 1;25(5):692-4 - PubMed
  13. PLoS One. 2009;4(2):e4346 - PubMed
  14. Proc Natl Acad Sci U S A. 2009 Jun 9;106(23):9362-7 - PubMed
  15. Nucleic Acids Res. 2009 Jul;37(Web Server issue):W623-33 - PubMed
  16. BMC Bioinformatics. 2009 Jul 31;10:236 - PubMed
  17. N Engl J Med. 2009 Sep 3;361(10):947-57 - PubMed
  18. Nature. 2009 Nov 12;462(7270):175-81 - PubMed
  19. Clin Chem. 2010 Feb;56(2):172-6 - PubMed
  20. Nature. 2010 Apr 15;464(7291):993-8 - PubMed
  21. J Clin Oncol. 2010 Nov 1;28(31):4674-82 - PubMed
  22. Br J Clin Pharmacol. 2011 Apr;71(4):575-84 - PubMed
  23. Brief Bioinform. 2011 Jul;12(4):346-56 - PubMed
  24. Cell Metab. 2011 Jun 8;13(6):627-38 - PubMed
  25. Brief Bioinform. 2011 Jul;12(4):303-11 - PubMed
  26. Sci Transl Med. 2011 Jun 29;3(89):89cm16 - PubMed
  27. Lancet Neurol. 2011 Aug;10(8):677-8 - PubMed
  28. Lancet Neurol. 2011 Aug;10(8):745-58 - PubMed
  29. Nat Biotechnol. 2012 Apr 10;30(4):317-20 - PubMed
  30. Br J Clin Pharmacol. 2012 Oct;74(4):698-721 - PubMed
  31. PLoS Comput Biol. 2012;8(7):e1002574 - PubMed
  32. Nature. 2012 Sep 6;489(7414):57-74 - PubMed
  33. Nature. 2012 Sep 6;489(7414):101-8 - PubMed
  34. Nature. 2012 Sep 6;489(7414):109-13 - PubMed
  35. J Chem Inf Model. 2012 Nov 26;52(11):3099-105 - PubMed
  36. Bioinformatics. 2013 Jan 1;29(1):132-4 - PubMed
  37. Clin Pharmacol Ther. 2013 Jun;93(6):547-55 - PubMed
  38. Trends Pharmacol Sci. 2013 May;34(5):267-72 - PubMed
  39. Bioorg Med Chem. 2013 Jun 1;21(11):3127-37 - PubMed
  40. N Engl J Med. 2013 May 30;368(22):2059-74 - PubMed
  41. PLoS One. 2013 May 23;8(5):e63499 - PubMed
  42. N Engl J Med. 2013 Jun 20;368(25):2385-94 - PubMed
  43. Nat Rev Drug Discov. 2013 Aug;12(8):581-94 - PubMed
  44. BMC Med. 2013 Aug 13;11:179 - PubMed
  45. Breast Cancer Res. 2013;15(5):R81 - PubMed
  46. Clin Proteomics. 2013 Oct 02;10(1):13 - PubMed
  47. Nucleic Acids Res. 2014 Jan;42(Database issue):D1091-7 - PubMed
  48. Drug Discov Today. 2014 May;19(5):637-44 - PubMed
  49. Nat Biotechnol. 2013 Dec;31(12):1102-10 - PubMed
  50. Pac Symp Biocomput. 2014;:172-82 - PubMed
  51. OMICS. 2014 Jan;18(1):15-33 - PubMed
  52. Nat Biotechnol. 2013 Dec;31(12):1080-2 - PubMed
  53. Curr Cardiol Rep. 2014 Jan;16(1):441 - PubMed
  54. Nature. 2014 Feb 20;506(7488):376-81 - PubMed
  55. Nat Biotechnol. 2014 Jan;32(1):40-51 - PubMed
  56. Am J Nurs. 2014 Feb;114(2):61-3 - PubMed
  57. Sci Transl Med. 2014 Apr 30;6(234):234cm3 - PubMed
  58. J Control Release. 2014 Sep 28;190:82-93 - PubMed
  59. Nucleic Acids Res. 2015 Jan;43(Database issue):D928-34 - PubMed
  60. Comput Biol Med. 2015 Jan;56:175-81 - PubMed
  61. Eur J Med Chem. 2015 Jan 27;90:751-65 - PubMed
  62. Environ Health Perspect. 2015 May;123(5):458-66 - PubMed
  63. J Clin Oncol. 2015 Apr 10;33(11):1235-42 - PubMed
  64. J Chem Inf Model. 2015 Feb 23;55(2):263-74 - PubMed
  65. N Engl J Med. 2015 Feb 26;372(9):793-5 - PubMed
  66. EMBO Rep. 2015 Mar;16(3):267-71 - PubMed
  67. J Natl Cancer Inst. 2015 Feb 16;107(4):null - PubMed
  68. OMICS. 2015 Apr;19(4):197-208 - PubMed
  69. Nat Biotechnol. 2015 Apr;33(4):342-5 - PubMed
  70. Biol Direct. 2015 Mar 25;10:10 - PubMed
  71. Nature. 2015 May 28;521(7553):436-44 - PubMed
  72. N Engl J Med. 2015 Jun 25;372(26):2481-98 - PubMed
  73. Nat Genet. 2015 Aug;47(8):856-60 - PubMed
  74. Mol Syst Biol. 2015 Mar;11(3):791 - PubMed
  75. Nat Biotechnol. 2015 Sep;33(9):933-40 - PubMed
  76. OMICS. 2015 Sep;19(9):563-73 - PubMed
  77. Drug Discov Today. 2016 Feb;21(2):239-49 - PubMed
  78. Annu Rev Genet. 2015;49:47-70 - PubMed
  79. PLoS One. 2015 Oct 02;10(10):e0139539 - PubMed
  80. J Clin Epidemiol. 2016 Feb;70:214-23 - PubMed
  81. Nucleic Acids Res. 2016 Jan 4;44(D1):D1045-53 - PubMed
  82. SAR QSAR Environ Res. 2015;26(11):943-58 - PubMed
  83. Clin Pharmacol Ther. 2016 Mar;99(3):298-305 - PubMed
  84. Chem Res Toxicol. 2016 Apr 18;29(4):438-51 - PubMed
  85. Mol Pharm. 2016 May 2;13(5):1445-54 - PubMed
  86. Wiley Interdiscip Rev Comput Mol Sci. 2016 Mar;6(2):147-172 - PubMed
  87. Proc Natl Acad Sci U S A. 2016 Jun 28;113(26):E3725-34 - PubMed
  88. Expert Rev Precis Med Drug Dev. 2016;1(3):245-253 - PubMed
  89. Cell Death Discov. 2016 May 09;2:16027 - PubMed
  90. Nat Commun. 2016 Sep 26;7:12846 - PubMed
  91. Nucleic Acids Res. 2017 Jan 4;45(D1):D945-D954 - PubMed
  92. Nat Rev Cancer. 2017 Mar;17(3):199-204 - PubMed
  93. Br J Pharmacol. 2018 Jan;175(2):168-180 - PubMed
  94. Blood. 2017 Jul 27;130(4):453-459 - PubMed
  95. Diabetes. 2017 Jul;66(7):1770-1778 - PubMed
  96. Drug Discov Today. 2017 Nov;22(11):1680-1685 - PubMed
  97. Nat Rev Drug Discov. 2017 Dec;16(12):811-812 - PubMed
  98. Nat Immunol. 2017 Oct 18;18(11):1175-1180 - PubMed
  99. Drug Discov Today. 2018 Feb;23(2):382-394 - PubMed
  100. Clin Pharmacol Ther. 2018 Mar;103(3):409-418 - PubMed
  101. Cell. 2017 Nov 30;171(6):1437-1452.e17 - PubMed
  102. Cancer Sci. 2018 Mar;109(3):497-506 - PubMed
  103. Nat Rev Genet. 2018 Apr;19(4):208-219 - PubMed
  104. Front Chem. 2018 Feb 20;6:30 - PubMed
  105. Int J Biol Sci. 2018 Jul 13;14(10):1232-1244 - PubMed
  106. Nat Rev Drug Discov. 2019 Jan;18(1):41-58 - PubMed

Publication Types

Grant support