8cc42982c826e53a28b9052aad92bf99  NucAciRes_a2024v52pW170.pdf
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667f2377f6414c51b7ffd73b4ae32a9a6b4c37fd95141a6fb1422e4e022fc8b0  NucAciRes_a2024v52pW170.pdf

Title:           Aggrescan4D: structure-informed analysis of pH-dependent protein aggregation
Subject:         DOI: 10.1093/nar/gkae382 , 52, Web Server issue, 13-5-2024. Abstract: 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.
Keywords:        
Author:          Brcenas Oriol, Kuriata Aleksander, Zalewski Mateusz, Iglesias Valentn, Pintado-Grima Carlos, Firlik Grzegorz, Burdukiewicz Micha, Kmiecik Sebastian, Ventura Salvador
Creator:         OUP
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    Title: Aggrescan4D: structure-informed analysis of pH-dependent protein aggregation
    Author: Brcenas Oriol, Kuriata Aleksander, Zalewski Mateusz, Iglesias Valentn, Pintado-Grima Carlos, Firlik Grzegorz, Burdukiewicz Micha, Kmiecik Sebastian, Ventura Salvador
    Subject: DOI: 10.1093/nar/gkae382 , 52, Web Server issue, 13-5-2024. Abstract: 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.
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   Type: CRC32
  Checksum: 8cc42982c826e53a28b9052aad92bf99
   Type: MD5
  Checksum: 8d061ffdff6958e15bea9e75c2d8db11aa3fff6c
   Type: SHA-1
  Checksum: 667f2377f6414c51b7ffd73b4ae32a9a6b4c37fd95141a6fb1422e4e022fc8b0
   Type: SHA-256