Aggrescan4D

Aggrescan4D (A4D) is an advanced computational tool designed for predicting protein aggregation, leveraging structural information and the influence of pH. Building upon its predecessor, Aggrescan3D (A3D), A4D has undergone numerous enhancements aimed at assisting the improvement of protein solubili...

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Bibliographic Details
Authors: Zalewski, Mateusz|||0000-0002-3436-8829, Iglesias, Valentin|||0000-0002-6133-0869, Bárcenas, Oriol|||0000-0002-8439-4005, Ventura, Salvador|||0000-0002-9652-6351, Kmiecik, Sebastian|||0000-0001-7623-0935
Format: article
Publication Date:2024
Country:España
Institution:Universitat Autònoma de Barcelona
Repository:Dipòsit Digital de Documents de la UAB
Language:English
OAI Identifier:oai:ddd.uab.cat:302987
Online Access:https://ddd.uab.cat/record/302987
https://dx.doi.org/urn:doi:10.1002/pro.5180
Access Level:Open access
Keyword:Computational biology
Monoclonal antibodies
Ph-dependent aggregation
Protein aggregation
Protein engineering
Protein solubility
Protein stability
Structural bioinformatics
Description
Summary:Aggrescan4D (A4D) is an advanced computational tool designed for predicting protein aggregation, leveraging structural information and the influence of pH. Building upon its predecessor, Aggrescan3D (A3D), A4D has undergone numerous enhancements aimed at assisting the improvement of protein solubility. This manuscript reviews A4D's updated functionalities and explains the fundamental principles behind its pH-dependent calculations. Additionally, it presents an antibody case study to evaluate its performance in comparison with other structure-based predictors. Notably, A4D integrates advanced protein engineering protocols with pH-dependent calculations, enhancing its utility in advising solubility-enhancing mutations. A4D considers the impact of structural flexibility on aggregation propensities, and includes a large set of precalculated predictions. These capabilities should help to open new avenues for both understanding and managing protein aggregation. A4D is accessible through a dedicated web server at https://biocomp.chem.uw.edu.pl/a4d/.