amPEPpy 1.0：一款便携且精准的抗菌肽预测工具。
amPEPpy 1.0: a portable and accurate antimicrobial peptide prediction tool.
机构信息
Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.
Cryomagnetics, Inc., Oak Ridge, TN 37830, USA.
出版信息
Bioinformatics. 2021 Aug 4;37(14):2058-2060. doi: 10.1093/bioinformatics/btaa917.
SUMMARY
Antimicrobial peptides (AMPs) are promising alternative antimicrobial agents. Currently, however, portable, user-friendly and efficient methods for predicting AMP sequences from genome-scale data are not readily available. Here we present amPEPpy, an open-source, multi-threaded command-line application for predicting AMP sequences using a random forest classifier.
AVAILABILITY AND IMPLEMENTATION
amPEPpy is implemented in Python 3 and is freely available through GitHub (https://github.com/tlawrence3/amPEPpy).
SUPPLEMENTARY INFORMATION
Supplementary data are available at Bioinformatics online.
摘要
抗菌肽（AMPs）是很有前途的替代抗菌药物。然而，目前还没有方便、用户友好且高效的方法，可从基因组规模的数据中预测 AMP 序列。本文介绍了 amPEPpy，这是一个开源的、多线程的命令行应用程序，可使用随机森林分类器来预测 AMP 序列。
可用性和实现
amPEPpy 是用 Python 3 编写的，可通过 GitHub（https://github.com/tlawrence3/amPEPpy）免费获得。
补充信息
补充数据可在《Bioinformatics》在线获取。
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