A facile yeast-display approach for antibody mask discovery
酵母
计算生物学
抗体
计算机科学
生物
遗传学
作者
Nithya M Badarinath,B. Mondal,Christopher M. Yellman,Kendreze L Holland,Hee Jun Lee,Hathaichanok Phuengkham,Andrew P. Cazier,Jaewoo Son,Joel M. Smith,J.R. Cox,Andrew J Kristof,Yusef Haikal,Gabriel A. Kwong,John Blazeck
Tuning in vivo activity of protein therapeutics can improve their safety. In this vein, it is possible to add a 'mask' moiety to a protein therapeutic such that its ability to bind its target is prevented until the mask has been proteolytically removed, for instance by a tumor-associated protease. As such, new methods to isolate functional masking sequences can aid development of protein therapies. Here, we describe a yeast display-based method to discover peptide sequences that prevent binding of antibody fragments to their antigen target. Our method includes an in situ ability to screen for restoration of binding by scFvs after proteolytic mask removal, and it takes advantage of the antigenic target itself to guide mask discovery. First, we genetically linked a yeast-displayed αPSCA scFv to overlapping 'tiles' of its target. By selecting for reduced antigen binding via flow cytometry, we discovered two peptide masks that we confirmed to be linear epitopes of the αPSCA scFv. We then expanded our method towards developing masks for three-dimensional epitopes by using a co-crystal structure of an αHer2 antibody in complex with its antigen to guide combinatorial mask design. In sum, our efforts show the feasibility of employing yeast-displayed, antigen-based libraries to find antibody masks.