Contribution of bioinformatics prediction in microRNA-based cancer therapeutics

Jasjit K. Banwait, Dhundy Raj Bastola

Research output: Contribution to journalReview article

15 Citations (Scopus)

Abstract

Despite enormous efforts, cancer remains one of the most lethal diseases in the world. With the advancement of high throughput technologies massive amounts of cancer data can be accessed and analyzed. Bioinformatics provides a platform to assist biologists in developing minimally invasive biomarkers to detect cancer, and in designing effective personalized therapies to treat cancer patients. Still, the early diagnosis, prognosis, and treatment of cancer are an open challenge for the research community. MicroRNAs (miRNAs) are small non-coding RNAs that serve to regulate gene expression. The discovery of deregulated miRNAs in cancer cells and tissues has led many to investigate the use of miRNAs as potential biomarkers for early detection, and as a therapeutic agent to treat cancer. Here we describe advancements in computational approaches to predict miRNAs and their targets, and discuss the role of bioinformatics in studying miRNAs in the context of human cancer.

Original languageEnglish (US)
Pages (from-to)94-103
Number of pages10
JournalAdvanced Drug Delivery Reviews
Volume81
DOIs
StatePublished - Jan 1 2015

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Computational Biology
MicroRNAs
Neoplasms
Therapeutics
Biomarkers
Small Untranslated RNA
Early Diagnosis
Technology
Gene Expression
Research

Keywords

  • Bioinformatics
  • Computational model
  • MiRNAs
  • MicroRNAs
  • Pancreatic cancer
  • Therapy

ASJC Scopus subject areas

  • Pharmaceutical Science

Cite this

Contribution of bioinformatics prediction in microRNA-based cancer therapeutics. / Banwait, Jasjit K.; Bastola, Dhundy Raj.

In: Advanced Drug Delivery Reviews, Vol. 81, 01.01.2015, p. 94-103.

Research output: Contribution to journalReview article

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