ReviewComputational and structural biotechnology journal2020
Computational prediction of protein aggregation: Advances in proteomics, conformation-specific algorithms and biotechnological applications.
Review in Computational and structural biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 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.
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Who cites it
33 citing papers in PubMed.
- Neurodegeneration Through the Lens of Bioinformatics Approaches: Computational Mechanisms of Protein Misfolding.International journal of molecular sciences · 2025Review
- Global Analysis of Aggregation Determinants in Small Protein Domains.bioRxiv : the preprint server for biology · 2025Article
- Navigating Homogeneous Graph Paths Through Amyloidogenic and Non-Amyloidogenic Hexapeptides.Journal of computational chemistry · 2025Article
- Experimental methods for studying amyloid cross-interactions.Protein science : a publication of the Protein Society · 2025Review
- A Practical Guide to Computational Tools for Engineering Biocatalytic Properties.International journal of molecular sciences · 2025Review
- Prediction and Evaluation of Protein Aggregation with Computational Methods.Methods in molecular biology (Clifton, N.J.) · 2025Review
- Preparation, design, identification and application of self-assembly peptides from seafood: A review.Food chemistry: X · 2024Article
- Aggrescan4D: A comprehensive tool for pH-dependent analysis and engineering of protein aggregation propensity.Protein science : a publication of the Protein Society · 2024Review
- Aggrescan4D: structure-informed analysis of pH-dependent protein aggregation.Nucleic acids research · 2024Article
- Advanced computational approaches to understand protein aggregation.Biophysics reviews · 2024Review
- Expanding the Landscape of Amyloid Sequences with CARs-DB: A Database of Polar Amyloidogenic Peptides from Disordered Proteins.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Stabilization challenges and aggregation in protein-based therapeutics in the pharmaceutical industry.RSC advances · 2023Review
- Widespread amyloid aggregates formation by Zika virus proteins and peptides.Protein science : a publication of the Protein Society · 2023Article
- Molecular characterization of the N-terminal half of TasA during amyloid-like assembly and its contribution to Bacillus subtilis biofilm formation.NPJ biofilms and microbiomes · 2023Article
- A3DyDB: exploring structural aggregation propensities in the yeast proteome.Microbial cell factories · 2023Article
- Network Hamiltonian Models for Unstructured Protein Aggregates, with Application to γD-Crystallin.The journal of physical chemistry. B · 2023Article
- How can we discover developable antibody-based biotherapeutics?Frontiers in molecular biosciences · 2023Review
- Accelerating therapeutic protein design with computational approaches toward the clinical stage.Computational and structural biotechnology journal · 2023Review
- Succinct Amyloid and Nonamyloid Patterns in Hexapeptides.ACS omega · 2022Article
- Ionic Liquid-Based Strategy for Predicting Protein Aggregation Propensity and Thermodynamic Stability.JACS Au · 2022Article
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 widespread phenomenon that stems from the establishment of non-native intermolecular contacts resulting in protein precipitation. Despite its deleterious impact on fitness, protein aggregation is a generic property of polypeptide chains, indissociable from protein structure and function. Protein aggregation is behind the onset of neurodegenerative disorders and one of the serious obstacles in the production of protein-based therapeutics. The development of computational tools opened a new avenue to rationalize this phenomenon, enabling prediction of the aggregation propensity of individual proteins as well as proteome-wide analysis. These studies spotted aggregation as a major force driving protein evolution. Actual algorithms work on both protein sequences and structures, some of them accounting also for conformational fluctuations around the native state and the protein microenvironment. This toolbox allows to delineate conformation-specific routines to assist in the identification of aggregation-prone regions and to guide the optimization of more soluble and stable biotherapeutics. Here we review how the advent of predictive tools has change the way we think and address protein aggregation.
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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.