PROSS 2: a new server for the design of stable and highly expressed protein variants | Zendy

Jonathan J. Weinstein | Zendy; Adi Goldenzweig | Zendy; Shlomo Yakir Hoch | Zendy; Sarel J. Fleishman | Zendy

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PROSS 2: a new server for the design of stable and highly expressed protein variants

Author(s) -

Jonathan J. Weinstein,

Adi Goldenzweig,

Shlomo Yakir Hoch,

Sarel J. Fleishman

Publication year - 2020

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btaa1071

Subject(s) - workflow , computer science , sequence (biology) , limiting , protein design , computational biology , stability (learning theory) , protein stability , heterologous , protein engineering , sequence analysis , data mining , protein structure , biology , database , biochemistry , machine learning , engineering , mechanical engineering , gene , enzyme

Many natural and designed proteins are only marginally stable limiting their usefulness in research and applications. Recently, we described an automated structure and sequence-based design method, called PROSS, for optimizing protein stability and heterologous expression levels that has since been validated on dozens of proteins. Here, we introduce improvements to the method, workflow and presentation, including more accurate sequence analysis, error handling and automated analysis of the quality of the sequence alignment that is used in design calculations.

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