Antimicrobial Peptides Predicted from Omics Data of Cephalopods' Posterior Salivary Glands

This dataset compiles antimicrobial peptides (AMPs) consistently identified within omics data extracted from Cephalopods' Posterior Salivary Glands (PSG). It comprises consensus AMPs that were predicted across the 13 AMP datasets reported in (doi: 10.17632/wwk7zzcfhv.1). These latter datasets stemmed from agreed AMP predictions by three machine learning models on peptide libraries generated via 13 distinct in silico enzymatic digestion protocols applied to omics data extracted from Cephalopods' PSG (doi: 10.17632/6fjsdnvygb.1). This dataset holds promise as a potential reservoir of novel AMPs, suitable for further exploration and screening to uncover peptide candidates for drug development.

本数据集汇编了从头足类动物（Cephalopods）后唾液腺（Posterior Salivary Glands, PSG）提取的组学数据中一致鉴定得到的抗菌肽（antimicrobial peptides, AMPs）。该数据集包含了参考文献(doi: 10.17632/wwk7zzcfhv.1)中报道的13个抗菌肽数据集内所预测得到的共识抗菌肽。前述数据集源自针对头足类动物后唾液腺组学数据（doi: 10.17632/6fjsdnvygb.1）采用13种不同计算机模拟酶切流程构建的肽库，经3种机器学习模型一致预测得到的抗菌肽结果。本数据集有望成为新型抗菌肽的潜在资源库，可用于进一步探索与筛选，以发掘可应用于药物开发的肽类候选分子。