Aggrescan4D: structure-informed analysis of pH-dependent protein aggregation

Oriol Bárcenas, Aleksander Kuriata, Mateusz Zalewski, Valentín Iglesias, Carlos Pintado-Grima, Grzegorz Firlik, Michał Burdukiewicz, Sebastian Kmiecik, Salvador Ventura

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Resum

Protein aggregation is behind the genesis of incurable diseases and imposes constraints on drug discovery and the industrial production and formulation of proteins. Over the years, we have been advancing the Aggresscan3D (A3D) method, aiming to deepen our comprehension of protein aggregation and assist the engineering of protein solubility. Since its inception, A3D has become one of the most popular structure-based aggregation predictors because of its performance, modular functionalities, RESTful service for extensive screenings, and intuitive user interface. Building on this foundation, we introduce Aggrescan4D (A4D), significantly extending A3D's functionality. A4D is aimed at predicting the pH-dependent aggregation of protein structures, and features an evolutionary-informed automatic mutation protocol to engineer protein solubility without compromising structure and stability. It also integrates precalculated results for the nearly 500,000 jobs in the A3D Model Organisms Database and structure retrieval from the AlphaFold database. Globally, A4D constitutes a comprehensive tool for understanding, predicting, and designing solutions for specific protein aggregation challenges. The A4D web server and extensive documentation are available at https://biocomp.chem.uw.edu.pl/a4d/. This website is free and open to all users without a login requirement.
Idioma originalEnglish
Número d’articlegkae382
Pàgines (de-a)W170-W175
Nombre de pàgines6
RevistaNucleic acids research
Volum52
NúmeroW1
DOIs
Estat de la publicacióPublicada - 5 de jul. 2024

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