In silico approaches for predicting the half-life of natural and modified peptides in blood

标题
In silico approaches for predicting the half-life of natural and modified peptides in blood
作者
关键词
Blood, Sequence databases, Amino acid analysis, Amino acid sequence analysis, Linear regression analysis, Machine learning, Physicochemical properties, Support vector machines
出版物
PLoS One
Volume 13, Issue 6, Pages e0196829
出版商
Public Library of Science (PLoS)
发表日期
2018-06-02
DOI
10.1371/journal.pone.0196829

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search