Evidence map›Paper›PMID 37775656›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Selective and Site-Specific Incorporation of Nonstandard Amino Acids Within Proteins for Therapeutic Applications.

Neil D Butler, Aditya M Kunjapur

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.7field-weighted citation impact, top 14% of its field
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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

2 authors at 1 institution in 1 country.

Neil D ButlerDepartment of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE, USA.
Aditya M KunjapurDepartment of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE, USA. kunjapur@udel.edu.
University of Delaware · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incorporation of nonstandard amino acids (nsAAs) within protein sequences has broadened the chemical functionalities available for use in the study, prevention, or treatment of disease. The ability to genetically encode the introduction of nsAAs at precise sites of target recombinant proteins has enabled numerous applications such as bioorthogonal conjugation, thrombin inhibition, intrinsic biological containment of live organisms, and immunochemical termination of self-tolerance. Genetic systems that perform critical steps in enabling nsAA incorporation are known as orthogonal translation systems or orthogonal aminoacyl-tRNA synthetase/tRNA pairs. In Escherichia coli, several of these have been designed to accept novel nsAAs. Certain endogenous proteins, codon context, and standard amino acid concentrations can affect the yield of recombinant protein, the rate of nsAA incorporation within off-target proteins, and the rate of misincorporation due to near-cognate suppression or misacylation of orthogonal tRNA with standard amino acids. As a result, a significant body of work has been performed in engineering the E. coli genome to alleviate these issues. Here, we describe common methods applicable to nsAA incorporation within proteins in E. coli for sufficient purity and characterization for downstream therapeutic applications.

Indexed as

Amino AcidsAmino Acyl-tRNA SynthetasesCodonEscherichia coliRecombinant ProteinsRNA, TransferAmino AcidsAmino Acyl-tRNA SynthetasesCodonRecombinant ProteinsRNA, TransferAmino-acyl tRNA synthetaseEscherichia coliNonstandard amino acidsPosttranslational proofreadingSite-specific nsAA incorporation

Identifiers

PMID37775656
OpenAlexW4387162659

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.