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ACPred: A Computational Tool for the Prediction and Analysis of Anticancer Peptides

ACPred: A Computational Tool for the Prediction and Analysis of Anticancer Peptides

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ddc539045ec54361bf05f4fdcab858f4

ACPred: A Computational Tool for the Prediction and Analysis of Anticancer Peptides

About this item

Full title

ACPred: A Computational Tool for the Prediction and Analysis of Anticancer Peptides

Publisher

Switzerland: MDPI AG

Journal title

Molecules (Basel, Switzerland), 2019-05, Vol.24 (10), p.1973

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Anticancer peptides (ACPs) have emerged as a new class of therapeutic agent for cancer treatment due to their lower toxicity as well as greater efficacy, selectivity and specificity when compared to conventional small molecule drugs. However, the experimental identification of ACPs still remains a time-consuming and expensive endeavor. Therefore, i...

Alternative Titles

Full title

ACPred: A Computational Tool for the Prediction and Analysis of Anticancer Peptides

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_ddc539045ec54361bf05f4fdcab858f4

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ddc539045ec54361bf05f4fdcab858f4

Other Identifiers

ISSN

1420-3049

E-ISSN

1420-3049

DOI

10.3390/molecules24101973

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