Evidence map›Paper›PMID 32719568›Full record

ArticleAIChE journal. American Institute of Chemical Engineers2020

Directed evolution methods for overcoming trade-offs between protein activity and stability.

Samuel D Stimple, Matthew D Smith, Peter M Tessier

Abstract read
In one paragraph

Article in AIChE journal. American Institute of Chemical Engineers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Beyond Resistance Genes: Silencing Susceptibility.International journal of molecular sciences · 2026
    Review
  7. Article
  8. Computational redesign of a thermostable T7 RNA polymerase.Protein engineering, design & selection : PEDS · 2026
    Article
  9. Article
  10. Computational redesign of a thermostable T7 RNA polymerase.bioRxiv : the preprint server for biology · 2025
    Article
  11. Directed evolution of a beta-lactamase samples a wide variety of conformational states.Protein science : a publication of the Protein Society · 2025
    Article
  12. Article
  13. Optimization of synthetic human VProtein science : a publication of the Protein Society · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Samuel D StimpleDepartment of Pharmaceutical Sciences, Biointerfaces Institute, University of Michigan, Ann Arbor, Michigan.
Matthew D SmithDepartment of Chemical Engineering, Biointerfaces Institute, University of Michigan, Ann Arbor, Michigan.
Peter M TessierDepartment of Pharmaceutical Sciences, Biointerfaces Institute, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0002-3220-007X

Funding

Design and Evolution of Polyvalent Domain Antibodies Specific for Tau AggregatesRF1AG059723 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KANE, RAVI S., TESSIER, PETER M · 2018 to 2022
$2.4M
Design of Antibody Fragments Specific For Amyloidogenic AggregatesR01GM104130 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI TESSIER, PETER M · 2014 to 2018
$1.3M
NIA NIH HHS RF1 AG059723NIGMS NIH HHS R01 GM104130
6 · The paper itself

Abstract

Engineered proteins are being widely developed and employed in applications ranging from enzyme catalysts to therapeutic antibodies. Directed evolution, an iterative experimental process composed of mutagenesis and library screening, is a powerful technique for enhancing existing protein activities and generating entirely new ones not observed in nature. However, the process of accumulating mutations for enhanced protein activity requires chemical and structural changes that are often destabilizing, and low protein stability is a significant barrier to achieving large enhancements in activity during multiple rounds of directed evolution. Here we highlight advances in understanding the origins of protein activity/stability trade-offs for two important classes of proteins (enzymes and antibodies) as well as innovative experimental and computational methods for overcoming such trade-offs. These advances hold great potential for improving the generation of highly active and stable proteins that are needed to address key challenges related to human health, energy and the environment.

Indexed as

affinityantibodycatalysisenzymeprotein designprotein engineering

Identifiers

PMID32719568
PMCPMC7384606

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Registered trials

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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.