Evidence map›Paper›PMID 39728449›Full record

ReviewMetabolites2024

Target Bioconjugation of Protein Through Chemical, Molecular Dynamics, and Artificial Intelligence Approaches.

Sk Jahir Abbas, Sabina Yesmin, Sandeepa K Vittala, Nayim Sepay, Fangfang Xia, Sk Imran Ali, Wei-Chun Chang, Yao-Ching Hung, Wen-Lung Ma

Abstract readReview
In one paragraph

Review in Metabolites, 2024. 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

9 authors.

Sk Jahir AbbasGraduate Institute of Biomedical Sciences, China Medical University, Taichung 40402, Taiwan.ORCID 0000-0003-2061-9639
Sabina YesminInstitute of Chemistry, Academia Sinica, Taipei 115201, Taiwan.
Sandeepa K VittalaLeiden Institute of Chemistry, Leiden University, 2300 RA Leiden, The Netherlands.ORCID 0000-0001-5722-9349
Nayim SepayDepartment of Chemistry, Lady Brabourne College, Kolkata 700017, India.ORCID 0000-0001-7702-3989
Fangfang XiaDepartment of Epigenetics and Molecular Carcinogenesis, University of Texas MD Anderson Cancer Centre, Houston, TX 77030, USA.
Sk Imran AliDepartment of Chemistry, University of Kalyani, Kalyani 741235, India.
Wei-Chun ChangPh.D. Program for Health Science and Industry, China Medical University, Taichung 40402, Taiwan.
Yao-Ching HungDepartment of Obstetrics and Gynecology, Asia University Hospital, Taichung 41354, Taiwan.
Wen-Lung MaGraduate Institute of Biomedical Sciences, China Medical University, Taichung 40402, Taiwan.ORCID 0009-0002-7116-4304

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Covalent modification of proteins at specific, predetermined sites is essential for advancing biological and biopharmaceutical applications. Site-selective labeling techniques for protein modification allow us to effectively track biological function, intracellular dynamics, and localization. Despite numerous reports on modifying target proteins with functional chemical probes, unique organic reactions that achieve site-selective integration without compromising native functional properties remain a significant challenge. In this review, we delve into site-selective protein modification using synthetic probes, highlighting both chemical and computational methodologies for chemo- and regioselective modifications of naturally occurring amino acids, as well as proximity-driven protein-selective chemical modifications. We also underline recent traceless affinity labeling strategies that involve exchange/cleavage reactions and catalyst tethering modifications. The rapid development of computational infrastructure and methods has made the bioconjugation of proteins more accessible, enabling precise predictions of structural changes due to protein modifications. Hence, we discuss bioconjugational computational approaches, including molecular dynamics and artificial intelligence, underscoring their potential applications in enhancing our understanding of cellular biology and addressing current challenges in the field.

Indexed as

bioconjugationcomputational methodprotein modification

Identifiers

PMID39728449
PMCPMC11677502

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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.