Computational methods to predict protein aggregation
Navarro, Susanna 
(Universitat Autònoma de Barcelona. Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí")
Ventura, Salvador 
(Universitat Autònoma de Barcelona. Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí")
| Date: |
2022 |
| Abstract: |
In most cases, protein aggregation stems from the establishment of non-native intermolecular contacts. The formation of insoluble protein aggregates is associated with many human diseases and is a major bottleneck for the industrial production of protein-based therapeutics. Strikingly, fibrillar aggregates are naturally exploited for structural scaffolding or to generate molecular switches and can be artificially engineered to build up multi-functional nanomaterials. Thus, there is a high interest in rationalizing and forecasting protein aggregation. Here, we review the available computational toolbox to predict protein aggregation propensities, identify sequential or structural aggregation-prone regions, evaluate the impact of mutations on aggregation or recognize prion-like domains. We discuss the strengths and limitations of these algorithms and how they can evolve in the next future. |
| Grants: |
European Commission PhasAge/H2020-WIDESPREAD-2020-5 Agencia Estatal de Investigación PID2019-105017RB-I00
|
| Note: |
Altres ajuts: acords transformatius de la UAB |
| Rights: |
Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.  |
| Language: |
Anglès |
| Document: |
Article ; recerca ; Versió publicada |
| Published in: |
Current Opinion in Structural Biology, Vol. 73 (april 2022) , p. 102343, ISSN 1879-033X |
DOI: 10.1016/j.sbi.2022.102343
PMID: 35240456
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Record created 2022-03-15, last modified 2025-12-23