Improving the prediction of disulfide bonds in Eukaryotes with machine learning methods and protein subcellular localization

Title
Improving the prediction of disulfide bonds in Eukaryotes with machine learning methods and protein subcellular localization
Authors
Keywords
-
Journal
BIOINFORMATICS
Volume 27, Issue 16, Pages 2224-2230
Publisher
Oxford University Press (OUP)
Online
2011-06-30
DOI
10.1093/bioinformatics/btr387

Ask authors/readers for more resources

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started