Evidence mapPaperPMID 40801977Full record

ReviewCell biochemistry and biophysics2025

Pathogenic Proteins Through the Lens of NMR Spectroscopy: Structural and Functional Insights into Disease.

Adam A Aboalroub

Abstract readReview
PubMed Publisher
In one paragraph

Review in Cell biochemistry and biophysics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. The KW18 peptide acts as a dual antimicrobial and immunomodulatory therapeutic candidate in the context of antimicrobial resistance.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    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

1 author.

Adam A AboalroubPharmacological and Diagnostic Research Center (PDRC), Department of Pharmaceutical Sciences, Faculty of Pharmacy, Al-Ahliyya Amman University, Amman, 19328, Jordan. adam.hgf@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteins are essential for cell functions, and their dysfunction—including misfolding, aggregation, abnormal interactions, and specific post-translational modifications—is closely linked to many diseases, such as neurodegenerative, infectious, and cancerous conditions. Therefore, accurately identifying and thoroughly characterizing disease-causing proteins is crucial for understanding disease mechanisms and developing effective treatments. However, studying disease-related proteins in complex biological systems remains challenging due to factors such as their conformational diversity, often low levels in the body, and the complexity of the cellular environment. Nuclear Magnetic Resonance (NMR) spectroscopy, with its exceptional ability to examine protein structure, dynamics, and interactions at the atomic level in solution, in cells, and in solid states, has become an essential tool for understanding these diseases. This review will examine recent advancements in NMR methods, with a specific focus on how these improvements have enhanced their capacity to investigate protein-related pathologies. The primary focus will be on NMR’s unique capacity to identify abnormal protein shapes and interactions in disease states, uncover the molecular mechanisms behind pathogenicity, and ultimately guide the development of targeted therapies.

Indexed as

Nuclear Magnetic Resonance, BiomolecularProteinsAnimalsHumansMagnetic Resonance SpectroscopyNeoplasmsNeurodegenerative DiseasesProtein ConformationProteinsCancerCOVID-19Dysfunctional proteinsNeurodegenerative diseasesNMR spectroscopyProtein dynamics

Identifiers

What Socratic 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 Socratic graph.