Recent Advances in Computational Methods for Identifying Anticancer Peptides.

Abstract:

:Anticancer peptide (ACP) is a kind of small peptides that can kill cancer cells without damaging normal cells. In recent years, ACP has been pre-clinically used for cancer treatment. Therefore, accurate identification of ACPs will promote their clinical applications. In contrast to labor-intensive experimental techniques, a series of computational methods have been proposed for identifying ACPs. In this review, we briefly summarized the current progress in computational identification of ACPs. The challenges and future perspectives in developing reliable methods for identification of ACPs were also discussed. We anticipate that this review could provide novel insights into future researches on anticancer peptides.

journal_name

Curr Drug Targets

journal_title

Current drug targets

authors

Feng P,Wang Z

doi

10.2174/1389450119666180801121548

subject

Has Abstract

pub_date

2019-01-01 00:00:00

pages

481-487

issue

5

eissn

1389-4501

issn

1873-5592

pii

CDT-EPUB-92104

journal_volume

20

pub_type

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