Evidence map›Paper›PMID 35427479›Full record

ReviewTrends in biochemical sciences2022

Methods for the directed evolution of biomolecular interactions.

Victoria Cochran Xie, Matthew J Styles, Bryan C Dickinson

Abstract readReview
In one paragraph

Review in Trends in biochemical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. A new paradigm for the regulation of A40926B0 biosynthesis.Synthetic and systems biotechnology · 2025
    Article
  2. Article
  3. High-throughput protein binder discovery by rapid in vivo selection.bioRxiv : the preprint server for biology · 2025
    Article
  4. Article
  5. Combining a Base Deaminase Mutator with Phage-Assisted Evolution.Methods in molecular biology (Clifton, N.J.) · 2024
    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.

Victoria Cochran XieDepartment of Chemistry, The University of Chicago, Chicago, IL 60637, USA.
Matthew J StylesDepartment of Chemistry, The University of Chicago, Chicago, IL 60637, USA.
Bryan C DickinsonDepartment of Chemistry, The University of Chicago, Chicago, IL 60637, USA. Electronic address: Dickinson@uchicago.edu.

Funding

Rapid selection approaches to understand and reprogram proteins and peptidesR35GM119840 · NIGMS · UNIVERSITY OF CHICAGO · PI Bryan Dickinson · 2016 to 2026
$4.8M
Base-resolution mapping and site-specific epitranscriptomic studies in the brainR01MH122142 · NIMH · UNIVERSITY OF CHICAGO · PI DICKINSON, BRYAN, ZHUANG, XIAOXI · 2019 to 2023
$2.3M
NIGMS NIH HHS R35 GM119840NIMH NIH HHS R01 MH122142
6 · The paper itself

Abstract

Noncovalent interactions between biomolecules such as proteins and nucleic acids coordinate all cellular processes through changes in proximity. Tools that perturb these interactions are and will continue to be highly valuable for basic and translational scientific endeavors. By taking cues from natural systems, such as the adaptive immune system, we can design directed evolution platforms that can generate proteins that bind to biomolecules of interest. In recent years, the platforms used to direct the evolution of biomolecular binders have greatly expanded the range of types of interactions one can evolve. Herein, we review recent advances in methods to evolve protein-protein, protein-RNA, and protein-DNA interactions.

Indexed as

DNANucleic AcidsDirected Molecular EvolutionProteinsRNADNANucleic AcidsProteinsRNAbiomolecular interactionscontinuous evolutiondirected evolutionphage-assisted continuous evolution (PACE)protein–protein interactions (PPIs)

Identifiers

PMID35427479
PMCPMC9022280

What OpenQuestion holds

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Registered trials

None linked

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.