Evidence map›Paper›PMID 39276022›Full record

ArticleProtein science : a publication of the Protein Society2024

BracketMaker: Visualization and optimization of chemical protein synthesis.

Judah L Evangelista, Michael S Kay

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 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
–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. Review
  2. BracketMaker: Visualization and optimization of chemical protein synthesis.Protein science : a publication of the Protein Society · 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

2 authors.

Judah L EvangelistaDepartment of Biochemistry, University of Utah, Salt Lake City, Utah, USA.ORCID 0000-0002-9458-7441
Michael S KayDepartment of Biochemistry, University of Utah, Salt Lake City, Utah, USA.

Funding

CHEETAH Center for the Structural Biology of HIV Infection, Restriction, and Viral DynamicsU54AI170856 · NIAID · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Michael S Kay · 2022 to 2026
$34.4M
Program for Interdisciplinary Training in CHemical BiologyT32GM122740 · NIGMS · UNIVERSITY OF UTAH · PI KAY, MICHAEL S · 2018 to 2022
$932k
NIAID NIH HHS U54 AI170856NIGMS NIH HHS T32 GM122740NIH HHS
6 · The paper itself

Abstract

Chemical protein synthesis (CPS), in which custom peptide segments of ~20-60 aa are produced by solid-phase peptide synthesis and then stitched together through sequential ligation reactions, is an increasingly popular technique. The workflow of CPS is often depicted with a "bracket" style diagram detailing the starting segments and the order of all ligation, desulfurization, and/or deprotection steps to obtain the product protein. Brackets are invaluable tools for comparing multiple possible synthetic approaches and serve as blueprints throughout a synthesis. Drawing CPS brackets by hand or in standard graphics software, however, is a painstaking and error-prone process. Furthermore, the CPS field lacks a standard bracket format, making side-by-side comparisons difficult. To address these problems, we developed BracketMaker, an open-source Python program with built-in graphic user interface (GUI) for the rapid creation and analysis of CPS brackets. BracketMaker contains a custom graphics engine which converts a text string (a protein sequence annotated with reaction steps, introduced herein as a standardized format for brackets) into a high-quality vector or PNG image. To aid with new syntheses, BracketMaker's "AutoBracket" tool automatically performs retrosynthetic analysis on a set of segments to draft and rank all possible ligation orders using standard native chemical ligation, protection, and desulfurization techniques. AutoBracket, in conjunction with an improved version of our previously reported Automated Ligator (Aligator) program, provides a pipeline to rapidly develop synthesis plans for a given protein sequence. We demonstrate the application of both programs to develop a blueprint for 65 proteins of the minimal Escherichia coli ribosome.

Indexed as

SoftwarePeptidesProteinsSolid-Phase Synthesis TechniquesPeptidesProteinschemical protein synthesisE. coli ribosomegraphic design toolsnative chemical ligationPython tools

Identifiers

PMID39276022
PMCPMC11401056

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.