ReviewProtein engineering, design & selection : PEDS2021
Computational design and experimental optimization of protein binders with prospects for biomedical applications.
Review in Protein engineering, design & selection : PEDS, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 13 citations in OpenAlex.
- Review
- Applications of Artificial Intelligence in Biotech Drug Discovery and Product Development.MedComm · 2025Review
- Protein-Based Degraders: From Chemical Biology Tools to Neo-Therapeutics.Chemical reviews · 2025Review
- The origins of nonideality exhibited by monoclonal antibodies and Fab fragments in human serum.Protein science : a publication of the Protein Society · 2023Article
- Targeting Ras with protein engineering.Oncotarget · 2023Review
- Designed Loop Extension Followed by Combinatorial Screening Confers High Specificity to a Broad Matrix MetalloproteinaseInhibitor.Journal of molecular biology · 2023Article
- Structure and computation-guided yeast surface display for the evolution of TIMP-based matrix metalloproteinase inhibitors.Frontiers in molecular biosciences · 2023Review
- Enhancement of SARS-CoV-2 receptor-binding domain activity by two microbial defensins.Frontiers in microbiology · 2023Article
- Cold spots are universal in protein-protein interactions.Protein science : a publication of the Protein Society · 2022Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
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.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.