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SABinder: A Web Service for Predicting Streptavidin-Binding Peptides

Bifang He1, Juanjuan Kang1, Beibei Ru1

  • 1Key Laboratory for Neuroinformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.

Biomed Research International
|September 10, 2016
PubMed
Summary

A new tool, SABinder, predicts streptavidin-binding peptides (SBPs) from phage display libraries. It helps distinguish true binders from target-unrelated peptides (TUPs), improving research accuracy.

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