A guide to studying protein aggregation

JAJ Housmans, G Wu, J Schymkowitz… - The FEBS …, 2023 - Wiley Online Library
Disrupted protein folding or decreased protein stability can lead to the accumulation of
(partially) un‐or misfolded proteins, which ultimately cause the formation of protein …

Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies

R Akbar, H Bashour, P Rawat, PA Robert, E Smorodina… - MAbs, 2022 - Taylor & Francis
Although the therapeutic efficacy and commercial success of monoclonal antibodies (mAbs)
are tremendous, the design and discovery of new candidates remain a time and cost …

SOD1 mutations associated with amyotrophic lateral sclerosis analysis of variant severity

M Berdyński, P Miszta, K Safranow, PM Andersen… - Scientific Reports, 2022 - nature.com
Mutations in superoxide dismutase 1 gene (SOD1) are linked to amyotrophic lateral
sclerosis (ALS), a neurodegenerative disorder predominantly affecting upper and lower …

[HTML][HTML] Computational methods to predict protein aggregation

S Navarro, S Ventura - Current Opinion in Structural Biology, 2022 - Elsevier
In most cases, protein aggregation stems from the establishment of non-native
intermolecular contacts. The formation of insoluble protein aggregates is associated with …

AlphaFold and the amyloid landscape

F Pinheiro, J Santos, S Ventura - Journal of Molecular Biology, 2021 - Elsevier
Protein aggregation is a widespread phenomenon with important implications in many
scientific areas. Although amyloid formation is typically considered as detrimental, functional …

[HTML][HTML] Affinity maturation of antibody fragments: A review encompassing the development from random approaches to computational rational optimization

J Li, G Kang, J Wang, H Yuan, Y Wu, S Meng… - International journal of …, 2023 - Elsevier
Routinely screened antibody fragments usually require further in vitro maturation to achieve
the desired biophysical properties. Blind in vitro strategies can produce improved ligands by …

Machine learning prediction of antibody aggregation and viscosity for high concentration formulation development of protein therapeutics

PK Lai, A Gallegos, N Mody, HA Sathish, BL Trout - MAbs, 2022 - Taylor & Francis
Machine learning has been recently used to predict therapeutic antibody aggregation rates
and viscosity at high concentrations (150 mg/ml). These works focused on commercially …

Liquid–liquid phase separation primes spider silk proteins for fiber formation via a conditional sticker domain

A Leppert, G Chen, D Lama, C Sahin, V Railaite… - Nano Letters, 2023 - ACS Publications
Many protein condensates can convert to fibrillar aggregates, but the underlying
mechanisms are unclear. Liquid–liquid phase separation (LLPS) of spider silk proteins …

High concentration formulation developability approaches and considerations

J Zarzar, T Khan, M Bhagawati, B Weiche… - MAbs, 2023 - Taylor & Francis
The growing need for biologics to be administered subcutaneously and ocularly, coupled
with certain indications requiring high doses, has resulted in an increase in drug substance …

A3D Model Organism Database (A3D-MODB): a database for proteome aggregation predictions in model organisms

AE Badaczewska-Dawid, A Kuriata… - Nucleic Acids …, 2024 - academic.oup.com
Protein aggregation has been associated with aging and different pathologies and
represents a bottleneck in the industrial production of biotherapeutics. Numerous past …