Evidence map›Paper›PMID 37589191›Full record

ReviewProteins2025

Empowering canonical biochemicals with cross-linked novelty: Recursions in applications of protein cross-links.

Jinam Ravindra Bora, Radhakrishnan Mahalakshmi

Abstract readReview
In one paragraph

Review in Proteins, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jinam Ravindra BoraDepartment of Biological Sciences, Molecular Biophysics Laboratory, Indian Institute of Science Education and Research, Bhopal, India.
Radhakrishnan MahalakshmiDepartment of Biological Sciences, Molecular Biophysics Laboratory, Indian Institute of Science Education and Research, Bhopal, India.ORCID https://orcid.org/0000-0003-1549-7550

Funding

DBT-Wellcome Trust India Alliance IA/S/20/2/505182Department of Biotechnology, Ministry of Science and Technology, India BT/PR28858/BRB/10/1718/2018Science and Engineering Research Board SPR/2021/000018The Wellcome Trust DBT India Alliance IA/S/20/2/505182Wellcome Trust
6 · The paper itself

Abstract

Diversity in the biochemical workhorses of the cell-that is, proteins-is achieved by the innumerable permutations offered primarily by the 20 canonical L-amino acids prevalent in all biological systems. Yet, proteins are known to additionally undergo unusual modifications for specialized functions. Of the various post-translational modifications known to occur in proteins, the recently identified non-disulfide cross-links are unique, residue-specific covalent modifications that confer additional structural stability and unique functional characteristics to these biomolecules. We review an exclusive class of amino acid cross-links encompassing aromatic and sulfur-containing side chains, which not only confer superior biochemical characteristics to the protein but also possess additional spectroscopic features that can be exploited as novel chromophores. Studies of their in vivo reaction mechanism have facilitated their specialized in vitro applications in hydrogels and protein anchoring in monolayer chips. Furthering the discovery of unique canonical cross-links through new chemical, structural, and bioinformatics tools will catalyze the development of protein-specific hyperstable nanostructures, superfoods, and biotherapeutics.

Indexed as

Cross-Linking ReagentsProtein Processing, Post-TranslationalProteinsAmino AcidsAnimalsHumansHydrogelsModels, MolecularProtein ConformationAmino AcidsCross-Linking ReagentsHydrogelsProteinshyperstable structuresnovel protein functionside chain modificationunusual cross‐link

Identifiers

PMID37589191
PMCPMC7616502

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.