
In silico approaches for predicting the half-life of natural and modified peptides in blood
Author(s) -
Deepika Mathur,
Sandeep Singh,
Ayesha Mehta,
Piyush Agrawal,
Gajendra P. S. Raghava
Publication year - 2018
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0196829
Subject(s) - in silico , computational biology , web server , peptide , correlation , biological system , computer science , artificial intelligence , bioinformatics , chemistry , biology , biochemistry , mathematics , the internet , gene , geometry , world wide web