Aggrescan3D (A3D) 2.0: prediction and engineering of protein solubility

Author:

Kuriata Aleksander1,Iglesias Valentin2,Pujols Jordi2,Kurcinski Mateusz1,Kmiecik Sebastian1ORCID,Ventura Salvador2

Affiliation:

1. Biological and Chemical Research Centre, Faculty of Chemistry, University of Warsaw, 02-089 Warsaw, Poland

2. Institut de Biotecnologia i Biomedicina and Departament de Bioquímica I Biologia Molecular Universitat Autònoma de Barcelona, Bellaterra, Spain

Abstract

Abstract Protein aggregation is a hallmark of a growing number of human disorders and constitutes a major bottleneck in the manufacturing of therapeutic proteins. Therefore, there is a strong need of in-silico methods that can anticipate the aggregative properties of protein variants linked to disease and assist the engineering of soluble protein-based drugs. A few years ago, we developed a method for structure-based prediction of aggregation properties that takes into account the dynamic fluctuations of proteins. The method has been made available as the Aggrescan3D (A3D) web server and applied in numerous studies of protein structure-aggregation relationship. Here, we present a major update of the A3D web server to version 2.0. The new features include: extension of dynamic calculations to significantly larger and multimeric proteins, simultaneous prediction of changes in protein solubility and stability upon mutation, rapid screening for functional protein variants with improved solubility, a REST-ful service to incorporate A3D calculations in automatic pipelines, and a new, enhanced web server interface. A3D 2.0 is freely available at: http://biocomp.chem.uw.edu.pl/A3D2/

Funder

Spanish Ministry of Economy and Competitiveness

National Science Center

Publisher

Oxford University Press (OUP)

Subject

Genetics

Reference36 articles.

1. Protein misfolding, amyloid formation, and human disease: a summary of progress over the last decade;Chiti;Annu. Rev. Biochem.,2017

2. Protein aggregation: mechanisms and functional consequences;Invernizzi;Int. J. Biochem. Cell Biol.,2012

3. Proteins behaving badly: emerging technologies in profiling biopharmaceutical aggregation;Hamrang;Trends Biotechnol.,2013

4. Advances in the prediction of protein aggregation propensity;Pallares;Curr. Med. Chem.,2017

5. Driving forces for nonnative protein aggregation and approaches to predict Aggregation-Prone regions;Meric;Annu. Rev. Chem. Biomol. Eng.,2017

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