Genomics approaches to drug discovery

John F. Reidhaar-Olson; Brian K. Rhees; Juergen Hammer

doi:10.1002/jcb.10072

Genomics approaches to drug discovery

John F. Reidhaar-Olson, Brian K. Rhees, Juergen Hammer

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

New approaches to drug discovery have come about in recent years as a result of important advances in genomics and bioinformatics. The availability of genome-scale sequence data, the development of new tools for high-throughput gene expression monitoring, and improvements in the ability to analyze large data sets have revolutionized the field. In this article, we discuss three applications of genomics data in the drug discovery process: target discovery, prodrug strategies, and vaccine development.

Original language	English (US)
Pages (from-to)	110-119
Number of pages	10
Journal	Journal of Cellular Biochemistry
Volume	84
Issue number	SUPPL. 37
DOIs	https://doi.org/10.1002/jcb.10072
State	Published - 2001
Externally published	Yes

Keywords

Bioinformatics
Epitope
Gene expression
Genomics
Target identification

ASJC Scopus subject areas

Biochemistry
Molecular Biology
Cell Biology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1002/jcb.10072

Cite this

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abstract = "New approaches to drug discovery have come about in recent years as a result of important advances in genomics and bioinformatics. The availability of genome-scale sequence data, the development of new tools for high-throughput gene expression monitoring, and improvements in the ability to analyze large data sets have revolutionized the field. In this article, we discuss three applications of genomics data in the drug discovery process: target discovery, prodrug strategies, and vaccine development.",

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AU - Rhees, Brian K.

AU - Hammer, Juergen

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AB - New approaches to drug discovery have come about in recent years as a result of important advances in genomics and bioinformatics. The availability of genome-scale sequence data, the development of new tools for high-throughput gene expression monitoring, and improvements in the ability to analyze large data sets have revolutionized the field. In this article, we discuss three applications of genomics data in the drug discovery process: target discovery, prodrug strategies, and vaccine development.

KW - Bioinformatics

KW - Epitope

KW - Gene expression

KW - Genomics

KW - Target identification

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JO - Journal of Cellular Biochemistry

JF - Journal of Cellular Biochemistry

IS - SUPPL. 37

ER -

Genomics approaches to drug discovery

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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