Publication:
Targetantiangio: A sequence-based tool for the prediction and analysis of anti-angiogenic peptides

dc.contributor.authorVishuda Laengsrien_US
dc.contributor.authorChanin Nantasenamaten_US
dc.contributor.authorNalini Schaduangraten_US
dc.contributor.authorPornlada Nuchnoien_US
dc.contributor.authorVirapong Prachayasittikulen_US
dc.contributor.authorWatshara Shoombuatongen_US
dc.contributor.otherMahidol Universityen_US
dc.date.accessioned2020-01-27T07:43:04Z
dc.date.available2020-01-27T07:43:04Z
dc.date.issued2019-06-02en_US
dc.description.abstract© 2019 by the authors. Licensee MDPI, Basel, Switzerland. Cancer remains one of the major causes of death worldwide. Angiogenesis is crucial for the pathogenesis of various human diseases, especially solid tumors. The discovery of anti-angiogenic peptides is a promising therapeutic route for cancer treatment. Thus, reliably identifying anti-angiogenic peptides is extremely important for understanding their biophysical and biochemical properties that serve as the basis for the discovery of new anti-cancer drugs. This study aims to develop an effcient and interpretable computational model called TargetAntiAngio for predicting and characterizing anti-angiogenic peptides. TargetAntiAngio was developed using the random forest classifier in conjunction with various classes of peptide features. It was observed via an independent validation test that TargetAntiAngio can identify anti-angiogenic peptides with an average accuracy of 77.50% on an objective benchmark dataset. Comparisons demonstrated that TargetAntiAngio is superior to other existing methods. In addition, results revealed the following important characteristics of anti-angiogenic peptides: (i) disulfide bond forming Cys residues play an important role for inhibiting blood vessel proliferation; (ii) Cys located at the C-terminal domain can decrease endothelial formatting activity and suppress tumor growth; and (iii) Cyclic disulfide-rich peptides contribute to the inhibition of angiogenesis and cell migration, selectivity and stability. Finally, for the convenience of experimental scientists, the TargetAntiAngio web server was established and made freely available online.en_US
dc.identifier.citationInternational Journal of Molecular Sciences. Vol.20, No.12 (2019)en_US
dc.identifier.doi10.3390/ijms20122950en_US
dc.identifier.issn14220067en_US
dc.identifier.issn16616596en_US
dc.identifier.other2-s2.0-85068454383en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/50155
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85068454383&origin=inwarden_US
dc.subjectBiochemistry, Genetics and Molecular Biologyen_US
dc.subjectChemical Engineeringen_US
dc.subjectChemistryen_US
dc.subjectComputer Scienceen_US
dc.titleTargetantiangio: A sequence-based tool for the prediction and analysis of anti-angiogenic peptidesen_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85068454383&origin=inwarden_US

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