%PDF-1.4 %âãÏÓ 1 0 obj <> endobj 2 0 obj <>stream 2021-11-10T08:27:19 Adobe InDesign 15.0 (Windows) 2021-11-10T13:08:53+01:00 2021-11-10T13:08:53+01:00 Adobe PDF Library 15.0; modified using iText® 5.3.5 ©2000-2012 1T3XT BVBA (SPRINGER SBM; licensed version) Antimicrobial peptides;Peptide toxicity;Machine learning;Physico-chemical properties False application/pdf https://doi.org/10.1186/s12859-021-04468-y BioMed Central BMC Bioinformatics, https://doi.org/10.1186/s12859-021-04468-y Antimicrobial peptides Peptide toxicity Machine learning Physico-chemical properties Prediction of antimicrobial peptides toxicity based on their physico-chemical properties using machine learning techniques Hossein Khabbaz Mohammad Hossein Karimi-Jafari Ali Akbar Saboury Bagher BabaAli 10.1186/s12859-021-04468-y 2010-04-23 true springer.com springerlink.com https://doi.org/10.1186/s12859-021-04468-y 10.1186/s12859-021-04468-y 1471-2105 journal BMC Bioinformatics The Author(s) 2010-04-23 true 10.1186/s12859-021-04468-y noindex springer.com springerlink.com uuid:f67e16e4-0faa-43d5-92ab-3fe9c7f96527 uuid:70eea2e2-78d4-49a5-8d55-792506d0eccd default 1 converted uuid:f67e16e4-0faa-43d5-92ab-3fe9c7f96527 converted to PDF/A-2b pdfToolbox 2021-11-10T10:55:17Z 2 B http://ns.adobe.com/pdfx/1.3/ pdfx Adobe Document Info PDF eXtension Schema external Mirrors crossmark:MajorVersionDate CrossmarkMajorVersionDate Text external Mirrors crossmark:CrossmarkDomainExclusive CrossmarkDomainExclusive Text internal Mirrors crossmark:DOI doi Text external Mirrors crossmark:CrosMarkDomains CrossMarkDomains seq Text