Literature DB >> 34436606

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

Alessandro Bonadio1, Julia M Shifman1.   

Abstract

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. The Author(s) 2021. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  affinity reagents; protein binder; protein design; protein engineering; protein-based inhibitors

Mesh:

Substances:

Year:  2021        PMID: 34436606      PMCID: PMC8388154          DOI: 10.1093/protein/gzab020

Source DB:  PubMed          Journal:  Protein Eng Des Sel        ISSN: 1741-0126            Impact factor:   1.952


  59 in total

1.  Development of High Affinity and High Specificity Inhibitors of Matrix Metalloproteinase 14 through Computational Design and Directed Evolution.

Authors:  Valeria Arkadash; Gal Yosef; Jason Shirian; Itay Cohen; Yuval Horev; Moran Grossman; Irit Sagi; Evette S Radisky; Julia M Shifman; Niv Papo
Journal:  J Biol Chem       Date:  2017-01-13       Impact factor: 5.157

Review 2.  Alternative non-antibody scaffolds for molecular recognition.

Authors:  Arne Skerra
Journal:  Curr Opin Biotechnol       Date:  2007-07-20       Impact factor: 9.740

3.  Massively parallel de novo protein design for targeted therapeutics.

Authors:  Aaron Chevalier; Daniel-Adriano Silva; Gabriel J Rocklin; Derrick R Hicks; Renan Vergara; Patience Murapa; Steffen M Bernard; Lu Zhang; Kwok-Ho Lam; Guorui Yao; Christopher D Bahl; Shin-Ichiro Miyashita; Inna Goreshnik; James T Fuller; Merika T Koday; Cody M Jenkins; Tom Colvin; Lauren Carter; Alan Bohn; Cassie M Bryan; D Alejandro Fernández-Velasco; Lance Stewart; Min Dong; Xuhui Huang; Rongsheng Jin; Ian A Wilson; Deborah H Fuller; David Baker
Journal:  Nature       Date:  2017-09-27       Impact factor: 49.962

4.  Mapping of the binding landscape for a picomolar protein-protein complex through computation and experiment.

Authors:  Yonatan Aizner; Oz Sharabi; Jason Shirian; George R Dakwar; Marina Risman; Orly Avraham; Julia Shifman
Journal:  Structure       Date:  2014-03-06       Impact factor: 5.006

5.  Combinatorial and Computational Approaches to Identify Interactions of Macrophage Colony-stimulating Factor (M-CSF) and Its Receptor c-FMS.

Authors:  Lior Rosenfeld; Jason Shirian; Yuval Zur; Noam Levaot; Julia M Shifman; Niv Papo
Journal:  J Biol Chem       Date:  2015-09-10       Impact factor: 5.157

6.  AbDesign: An algorithm for combinatorial backbone design guided by natural conformations and sequences.

Authors:  Gideon D Lapidoth; Dror Baran; Gabriele M Pszolla; Christoffer Norn; Assaf Alon; Michael D Tyka; Sarel J Fleishman
Journal:  Proteins       Date:  2015-06-06

Review 7.  Protein Delivery into the Cell Cytosol using Non-Viral Nanocarriers.

Authors:  Yi-Wei Lee; David C Luther; Jessica A Kretzmann; Andrew Burden; Taewon Jeon; Shumei Zhai; Vincent M Rotello
Journal:  Theranostics       Date:  2019-05-18       Impact factor: 11.556

8.  High-resolution design of a protein loop.

Authors:  Xiaozhen Hu; Huanchen Wang; Hengming Ke; Brian Kuhlman
Journal:  Proc Natl Acad Sci U S A       Date:  2007-10-30       Impact factor: 11.205

Review 9.  Development of therapeutic antibodies for the treatment of diseases.

Authors:  Ruei-Min Lu; Yu-Chyi Hwang; I-Ju Liu; Chi-Chiu Lee; Han-Zen Tsai; Hsin-Jung Li; Han-Chung Wu
Journal:  J Biomed Sci       Date:  2020-01-02       Impact factor: 8.410

10.  Engineering human ACE2 to optimize binding to the spike protein of SARS coronavirus 2.

Authors:  Kui K Chan; Danielle Dorosky; Preeti Sharma; Shawn A Abbasi; John M Dye; David M Kranz; Andrew S Herbert; Erik Procko
Journal:  Science       Date:  2020-08-04       Impact factor: 47.728

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  1 in total

1.  Cold spots are universal in protein-protein interactions.

Authors:  Sagara N S Gurusinghe; Ben Oppenheimer; Julia M Shifman
Journal:  Protein Sci       Date:  2022-10       Impact factor: 6.993

  1 in total

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