View : 66 Download: 0

Expediting the design, discovery and development of anticancer drugs using computational approaches

Title
Expediting the design, discovery and development of anticancer drugs using computational approaches
Authors
Basith S.Cui M.Macalino S.J.Y.Choi S.
Ewha Authors
최선
SCOPUS Author ID
최선scopus
Issue Date
2017
Journal Title
Current Medicinal Chemistry
ISSN
0929-8673JCR Link
Citation
Current Medicinal Chemistry vol. 24, no. 42, pp. 4753 - 4778
Keywords
AnticancerCancerDrugDrug repositioningIntegrationLigand-basedPharmacophorePolypharmacologyStructure-based
Publisher
Bentham Science Publishers B.V.
Indexed
SCI; SCIE; SCOPUS scopus
Document Type
Review
Abstract
Cancer is considered as one of the world's leading causes of morbidity and mortality. Over the past four decades, spectacular advances in molecular and cellular biology have led to major breakthroughs in the field of cancer research. However, the design and development of anticancer drugs prove to be an intricate, expensive, and time-consuming process. To overcome these limitations and manage large amounts of emerging data, computer- aided drug discovery/design (CADD) methods have been developed. Computational methods can be employed to help and design experiments, and more importantly, elucidate structure-activity relationships to drive drug discovery and lead optimization methods. Structure- and ligand-based drug designs are the most popular methods utilized in CADD. Additionally, the assimilation provided by these two complementary approaches are even more intriguing. Nowadays, the integration of experimental and computational approaches holds great promise in the rapid discovery of novel anticancer therapeutics. In this review, we aim to provide a comprehensive view on the state-of-the-art technologies for computer-assisted anticancer drug development with thriving models from literature. The limitations associated with each traditional in silico method have also been discussed, which can help the reader to rationale the best computational tool for their analysis. In addition, we will also shed some light on the latest advances in the computational approaches for anticancer drug development and conclude with a brief precis. © 2017 Bentham Science Publishers.
DOI
10.2174/0929867323666160902160535
Appears in Collections:
약학대학 > 약학과 > Journal papers
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE