» Articles » PMID: 21402166

The Role of Translational Bioinformatics in Drug Discovery

Overview
Specialty Pharmacology
Date 2011 Mar 16
PMID 21402166
Citations 17
Authors
Affiliations
Soon will be listed here.
Abstract

The application of translational approaches (e.g. from bed to bench and back) is gaining momentum in the pharmaceutical industry. By utilizing the rapidly increasing volume of data at all phases of drug discovery, translational bioinformatics is poised to address some of the key challenges faced by the industry. Indeed, computational analysis of clinical data and patient records has informed decision-making in multiple aspects of drug discovery and development. Here, we review key examples of translational bioinformatics approaches to emphasize its potential to enhance the quality of drug discovery pipelines, reduce attrition rates and, ultimately, lead to more effective treatments.

Citing Articles

Proteome-Wide Identification and Comparison of Drug Pockets for Discovering New Drug Indications and Side Effects.

Zhang R, Chen Z, Li S, Lv H, Li J, Yang N Molecules. 2025; 30(2.

PMID: 39860130 PMC: 11767986. DOI: 10.3390/molecules30020260.


Montelukast as a repurposable additive drug for standard-efficacy multiple sclerosis treatment: Emulating clinical trials with retrospective administrative health claims data.

Manuel A, Gottlieb A, Freeman L, Zhao Z Mult Scler. 2024; 30(6):696-706.

PMID: 38660773 PMC: 11073911. DOI: 10.1177/13524585241240398.


Integrative multi-omics and systems bioinformatics in translational neuroscience: A data mining perspective.

OConnor L, OConnor B, Lim S, Zeng J, Lo C J Pharm Anal. 2023; 13(8):836-850.

PMID: 37719197 PMC: 10499660. DOI: 10.1016/j.jpha.2023.06.011.


OTTM: an automated classification tool for translational drug discovery from omics data.

Yang X, Zhang B, Wang S, Lu Y, Chen K, Luo C Brief Bioinform. 2023; 24(5).

PMID: 37594310 PMC: 10516341. DOI: 10.1093/bib/bbad301.


Classification of neurologic outcomes from medical notes using natural language processing.

Fernandes M, Valizadeh N, Alabsi H, Quadri S, Tesh R, Bucklin A Expert Syst Appl. 2023; 214.

PMID: 36865787 PMC: 9974159. DOI: 10.1016/j.eswa.2022.119171.