2021
DOI: 10.1101/2021.09.26.461860
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Amino Acid Composition and Charge Based Prediction of Antisepsis Peptides by Random Forest Machine Learning Algorithm

Abstract: Sepsis is a severe infectious disease with high mortality, and it occurs when chemicals released in the bloodstream to fight an infection trigger inflammation throughout the body and it can cause a cascade of changes that damage multiple organ systems, leading them to fail, even resulting in death. In order to reduce the possibility of sepsis or infection antiseptics are used and process is known as antisepsis. Antiseptic peptides (ASPs) show properties similar to antigram-negative peptides, antigram-positive … Show more

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“…57 Many research groups have collected the published peptide sequences and physicochemical parameters data to curate peptide databases, servers and machine learning algorithms like AntiCP 2.0, MLCPP 2.0, and xDeep-AcPEP, etc. 16,17,24,29,[67][68][69][70][71] Several previous efforts have taken advantage of the peptide datasets for designing novel peptides. For instance,…”
Section: Discussionmentioning
confidence: 99%
“…57 Many research groups have collected the published peptide sequences and physicochemical parameters data to curate peptide databases, servers and machine learning algorithms like AntiCP 2.0, MLCPP 2.0, and xDeep-AcPEP, etc. 16,17,24,29,[67][68][69][70][71] Several previous efforts have taken advantage of the peptide datasets for designing novel peptides. For instance,…”
Section: Discussionmentioning
confidence: 99%