Computational design and experimental optimization of protein binders with prospects for biomedical applications

Alessandro Bonadio, Julia M. Shifman*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

6 Scopus citations


Protein-based binders have become increasingly more attractive candidates for drug and imaging agent development. Such binders could be evolved from a number of different scaffolds, including antibodies, natural protein effectors and unrelated small protein domains of different geometries. While both computational and experimental approaches could be utilized for protein binder engineering, in this review we focus on various computational approaches for protein binder design and demonstrate how experimental selection could be applied to subsequently optimize computationally-designed molecules. Recent studies report a number of designed protein binders with pM affinities and high specificities for their targets. These binders usually characterized with high stability, solubility, and low production cost. Such attractive molecules are bound to become more common in various biotechnological and biomedical applications in the near future.

Original languageAmerican English
Article numbergzab020
JournalProtein Engineering, Design and Selection
StatePublished - 2021

Bibliographical note

Publisher Copyright:
© 2021 The Author(s) 2021. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail:


  • affinity reagents
  • protein binder
  • protein design
  • protein engineering
  • protein-based inhibitors


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