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

Author
Kmiecik, Sebastian
Kuriata, Aleksander
Kurciński, Mateusz
Pujols, Jordi
Ventura, Salvador
Iglesias, Valentin
Publication date
2019
Abstract (EN)

Protein aggregation is a hallmark of a growing numberbof 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 withvimproved 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 .

PBN discipline
chemical sciences
Journal
Nucleic Acids Research
Volume
47
Issue
W1
Pages from-to
W300-W307
ISSN
0305-1048
Date release in open access
2019-05-03
Open access license
Attribution