TY - JOUR
T1 - Aggrescan4D: structure-informed analysis of pH-dependent protein aggregation
AU - Bárcenas, Oriol
AU - Kuriata, Aleksander
AU - Zalewski, Mateusz
AU - Iglesias, Valentín
AU - Pintado-Grima, Carlos
AU - Firlik, Grzegorz
AU - Burdukiewicz, Michał
AU - Kmiecik, Sebastian
AU - Ventura, Salvador
N1 - © The Author(s) 2024. Published by Oxford University Press on behalf of Nucleic Acids Research.
PY - 2024/7/5
Y1 - 2024/7/5
N2 - 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.
AB - 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.
KW - Databases, Protein
KW - Humans
KW - Hydrogen-Ion Concentration
KW - Models, Molecular
KW - Protein Aggregates
KW - Protein Conformation
KW - Proteins/chemistry
KW - Software
KW - Solubility
UR - https://www.mendeley.com/catalogue/3ed49e49-f605-3708-b13a-f89f53eb2b2d/
U2 - 10.1093/nar/gkae382
DO - 10.1093/nar/gkae382
M3 - Article
C2 - 38738618
SN - 0305-1048
VL - 52
SP - W170-W175
JO - Nucleic acids research
JF - Nucleic acids research
IS - W1
M1 - gkae382
ER -