Evidence map›Paper›PMID 39866708›Full record

ArticleACS central science2025

Computationally Assisted Noncanonical Amino Acid Incorporation.

Chengzhu Fang, Wenyuan Xu, Chao Liu, Yulin Chen, Shixian Lin, Wenlong Ding

Abstract read
In one paragraph

Article in ACS central science, 2025. 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
–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

2 citing papers in PubMed.

  1. Article
  2. In Vivo Biosynthesis and Direct Incorporation of Noncanonical Amino Acids into Proteins.Chembiochem : a European journal of chemical biology · 2025
    Review
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

6 authors.

Chengzhu FangThe Second Affiliated Hospital of Zhejiang University School of Medicine, Life Sciences Institute, Zhejiang University, Hangzhou 310058, China.
Wenyuan XuThe Second Affiliated Hospital of Zhejiang University School of Medicine, Life Sciences Institute, Zhejiang University, Hangzhou 310058, China.
Chao LiuThe Second Affiliated Hospital of Zhejiang University School of Medicine, Life Sciences Institute, Zhejiang University, Hangzhou 310058, China.
Yulin ChenThe Second Affiliated Hospital of Zhejiang University School of Medicine, Life Sciences Institute, Zhejiang University, Hangzhou 310058, China.
Shixian LinThe Second Affiliated Hospital of Zhejiang University School of Medicine, Life Sciences Institute, Zhejiang University, Hangzhou 310058, China.ORCID https://orcid.org/0000-0001-9718-9986
Wenlong DingThe Second Affiliated Hospital of Zhejiang University School of Medicine, Life Sciences Institute, Zhejiang University, Hangzhou 310058, China.ORCID https://orcid.org/0000-0001-9681-2027

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic encoding of noncanonical amino acids (ncAAs) with desired functionalities is an invaluable tool for the study of biological processes and the development of therapeutic drugs. However, existing ncAA incorporation strategies are rather time-consuming and have relatively low success rates. Here, we develop a virtual ncAA screener based on the analysis and modeling of the chemical properties of all reported ncAA substrates to virtually determine the recognition potential of candidate ncAAs. Using this virtual screener, we designed and incorporated several novel Lys and Phe derivatives into proteins for various downstream applications. Among them, the genetic encoding of an electron-rich Phe analog, 3-dimethylamino-phenylalanine, was successfully applied to enhance the cation-π interaction between histone methylation and its reader proteins. Thus, our virtual screener provides a fast and powerful strategy to efficiently incorporate ncAAs with diverse functionalities.

Identifiers

PMID39866708
PMCPMC11758377

What OpenQuestion holds

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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.