ReviewJournal of molecular cell biology2014
Computational approaches to understanding protein aggregation in neurodegeneration.
Review in Journal of molecular cell biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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.
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.
Who cites it
17 citing papers in PubMed.
- In vitro, cellular and in vivo studies of amyloid oligomers structure and toxicity: Challenges and advances.Protein science : a publication of the Protein Society · 2026Review
- Neurodegeneration Through the Lens of Bioinformatics Approaches: Computational Mechanisms of Protein Misfolding.International journal of molecular sciences · 2025Review
- Advanced computational approaches to understand protein aggregation.Biophysics reviews · 2024Review
- Insights on Aggregation of Hen Egg-White Lysozyme from Raman Spectroscopy and MD Simulations.Molecules (Basel, Switzerland) · 2022Article
- The SGYS motif of TAF15 prion-like domain is critical to amyloid fibril formation.Biophysical journal · 2022Article
- A3D 2.0 Update for the Prediction and Optimization of Protein Solubility.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Exploration of Protein Aggregations in Parkinson's Disease Through Computational Approaches and Big Data Analytics.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Amyloid Oligomers: A Joint Experimental/Computational Perspective on Alzheimer's Disease, Parkinson's Disease, Type II Diabetes, and Amyotrophic Lateral Sclerosis.Chemical reviews · 2021Review
- SOD1 oligomers in amyotrophic lateral sclerosis.Current opinion in structural biology · 2021Review
- Studying the mechanism of phase separation in aqueous solutions of globular proteinsPhysical chemistry chemical physics : PCCP · 2021Article
- Tautomeric Effect of Histidine on β-Sheet Formation of Amyloid Beta 1-40: 2D-IR Simulations.Biophysical journal · 2020Article
- Mechanistic insights into the deleterious roles of Nasu-Hakola disease associated TREM2 variants.Scientific reports · 2020Article
- The Early Phase of β2-Microglobulin Aggregation: Perspectives From Molecular Simulations.Frontiers in molecular biosciences · 2020Review
- Computational prediction of protein aggregation: Advances in proteomics, conformation-specific algorithms and biotechnological applications.Computational and structural biotechnology journal · 2020Review
- Protein Interaction with Charged Macromolecules: From Model Polymers to Unfolded Proteins and Post-Translational Modifications.International journal of molecular sciences · 2019Review
- Quantum chemical and molecular mechanics studies on the assessment of interactions between resveratrol and mutant SOD1 (G93A) protein.Journal of computer-aided molecular design · 2018Article
- Molecular simulations of cellular processes.Biophysical reviews · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
The generation of toxic non-native protein conformers has emerged as a unifying thread among disorders such as Alzheimer's disease, Parkinson's disease, and amyotrophic lateral sclerosis. Atomic-level detail regarding dynamical changes that facilitate protein aggregation, as well as the structural features of large-scale ordered aggregates and soluble non-native oligomers, would contribute significantly to current understanding of these complex phenomena and offer potential strategies for inhibiting formation of cytotoxic species. However, experimental limitations often preclude the acquisition of high-resolution structural and mechanistic information for aggregating systems. Computational methods, particularly those combine both all-atom and coarse-grained simulations to cover a wide range of time and length scales, have thus emerged as crucial tools for investigating protein aggregation. Here we review the current state of computational methodology for the study of protein self-assembly, with a focus on the application of these methods toward understanding of protein aggregates in human neurodegenerative disorders.
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Registered trials
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.