ReviewBiophysical reviews2021
Protein aggregation: in silico algorithms and applications.
Review in Biophysical reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
What it found
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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.
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Who cites it
30 citing papers in PubMed.
- Artificial Intelligence-Driven Discovery and Optimization of Antimicrobial Peptides Targeting ESKAPE Pathogens and Multidrug-Resistant Fungi.Microorganisms · 2026Review
- Marinesco-Sjögren Syndrome: A NovelLife (Basel, Switzerland) · 2025Article
- Neurodegeneration Through the Lens of Bioinformatics Approaches: Computational Mechanisms of Protein Misfolding.International journal of molecular sciences · 2025Review
- Removal of Aggregates During Bispecific Antibody Purification Using Hydrophobic Interaction Chromatography.Membranes · 2025Article
- Investigating Local Sequence-Structural Attributes of Amyloidogenic Light Chain Variable Domains.Proteins · 2025Article
- Prediction and Evaluation of Protein Aggregation with Computational Methods.Methods in molecular biology (Clifton, N.J.) · 2025Review
- Insight into Protein Engineering: FromCurrent pharmaceutical design · 2025Review
- Stability of Protein Pharmaceuticals: Recent Advances.Pharmaceutical research · 2024Review
- Advanced computational approaches to understand protein aggregation.Biophysics reviews · 2024Review
- A novel likely pathogenic homozygous RBCK1 variant in dilated cardiomyopathy with muscle weakness.ESC heart failure · 2024Article
- A sequence-based model for identifying proteins undergoing liquid-liquid phase separation/forming fibril aggregates via machine learning.Protein science : a publication of the Protein Society · 2024Article
- Genetic Algorithm for Automated Parameterization of Network Hamiltonian Models of Amyloid Fibril Formation.The journal of physical chemistry. B · 2024Article
- Gastroprotective effect of rhodanine and 2,4-thiazolidinediones scaffolds in rat stomachs by contribution of anti-apoptotic (BCL-2) and tumor suppressor (P53) proteins.Scientific reports · 2024Article
- Biophysical Analysis of Therapeutic Antibodies in the Early Development Pipeline.Biologics : targets & therapy · 2024Review
- Article
- Machine Learning Approaches in Diagnosis, Prognosis and Treatment Selection of Cardiac Amyloidosis.International journal of molecular sciences · 2023Review
- Network Hamiltonian Models for Unstructured Protein Aggregates, with Application to γD-Crystallin.The journal of physical chemistry. B · 2023Article
- Accelerating therapeutic protein design with computational approaches toward the clinical stage.Computational and structural biotechnology journal · 2023Review
- Onopordum acanthium L. extract attenuates pancreatic β-Cells and cardiac inflammation in streptozocin-induced diabetic rats.PloS one · 2023Article
- Developability assessment at early-stage discovery to enable development of antibody-derived therapeutics.Antibody therapeutics · 2023Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Protein aggregation is a topic of immense interest to the scientific community due to its role in several neurodegenerative diseases/disorders and industrial importance. Several in silico techniques, tools, and algorithms have been developed to predict aggregation in proteins and understand the aggregation mechanisms. This review attempts to provide an essence of the vast developments in in silico approaches, resources available, and future perspectives. It reviews aggregation-related databases, mechanistic models (aggregation-prone region and aggregation propensity prediction), kinetic models (aggregation rate prediction), and molecular dynamics studies related to aggregation. With a multitude of prediction models related to aggregation already available to the scientific community, the field of protein aggregation is rapidly maturing to tackle new applications.
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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.