Drug Repurposing and Multi-Target Therapies

Ammu P. Kumar; Suryani Lukman; Minh N. Nguyen

doi:10.1016/B978-0-12-809633-8.20160-X

Drug Repurposing and Multi-Target Therapies

Ammu P. Kumar
, Suryani Lukman
, Minh N. Nguyen

Khalifa University

Agency for Science, Technology and Research, Singapore

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

Since biological systems are often complex and comprising networks of multiple, interacting genes and their products, polypharmacology-based drug repurposing has gained wider acceptance in recent years. We discuss the benefits and drawbacks of drug repurposing. We list the available computational resources, including databases and algorithms (particularly CLICK), for drug repurposing. We also detail virtual screenings, particularly genomic screenings and high-throughput screenings. Finally, we present the challenges associated with drug repurposing and our proposed solutions.

Original language	English
Title of host publication	Encyclopedia of Bioinformatics and Computational Biology
Subtitle of host publication	ABC of Bioinformatics
Publisher	Elsevier
Pages	780-791
Number of pages	12
ISBN (Electronic)	9780128114148
ISBN (Print)	9780128114322
DOIs	https://doi.org/10.1016/B978-0-12-809633-8.20160-X
State	Published - 1 Jan 2019

Keywords

CLICK algorithm
Computational resources
Databases
Drug development
Drug repositioning
Drug repurposing
Genomic screening
Multi-target therapy
Polypharmacology
Therapeutic switching
Virtual screening

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10.1016/B978-0-12-809633-8.20160-X

Cite this

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abstract = "Since biological systems are often complex and comprising networks of multiple, interacting genes and their products, polypharmacology-based drug repurposing has gained wider acceptance in recent years. We discuss the benefits and drawbacks of drug repurposing. We list the available computational resources, including databases and algorithms (particularly CLICK), for drug repurposing. We also detail virtual screenings, particularly genomic screenings and high-throughput screenings. Finally, we present the challenges associated with drug repurposing and our proposed solutions.",

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AU - Kumar, Ammu P.

AU - Lukman, Suryani

AU - Nguyen, Minh N.

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N2 - Since biological systems are often complex and comprising networks of multiple, interacting genes and their products, polypharmacology-based drug repurposing has gained wider acceptance in recent years. We discuss the benefits and drawbacks of drug repurposing. We list the available computational resources, including databases and algorithms (particularly CLICK), for drug repurposing. We also detail virtual screenings, particularly genomic screenings and high-throughput screenings. Finally, we present the challenges associated with drug repurposing and our proposed solutions.

AB - Since biological systems are often complex and comprising networks of multiple, interacting genes and their products, polypharmacology-based drug repurposing has gained wider acceptance in recent years. We discuss the benefits and drawbacks of drug repurposing. We list the available computational resources, including databases and algorithms (particularly CLICK), for drug repurposing. We also detail virtual screenings, particularly genomic screenings and high-throughput screenings. Finally, we present the challenges associated with drug repurposing and our proposed solutions.

KW - CLICK algorithm

KW - Computational resources

KW - Databases

KW - Drug development

KW - Drug repositioning

KW - Drug repurposing

KW - Genomic screening

KW - Multi-target therapy

KW - Polypharmacology

KW - Therapeutic switching

KW - Virtual screening

UR - https://www.scopus.com/pages/publications/105011459091

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DO - 10.1016/B978-0-12-809633-8.20160-X

M3 - Chapter

AN - SCOPUS:105011459091

SN - 9780128114322

SP - 780

EP - 791

BT - Encyclopedia of Bioinformatics and Computational Biology

PB - Elsevier

ER -

Drug Repurposing and Multi-Target Therapies

Abstract

Keywords

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