Consensus protein design
By Benjamin T. Porebski, Ashley M. Buckle. 2016
198 citations recorded by the source corpus.
A popular and successful strategy in semi-rational design of protein stability is the use of evolutionary information encapsulated in homologous protein sequences. Consensus design is based on the hypothesis that at a given position, the respective consensus amino acid contributes more than average to the stability of the protein than non-conserved amino acids. Here, we review the consensus design approach, its theoretical underpinnings, successes, limitations and challenges, as well as providing a detailed guide to its application in protein engineering.
Subfields: Molecular Biology
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In Molecular Biology
- Sai Pooja Mahajan
- George M. Church
- Kevin M. Esvelt
- Surojit Biswas
- Grigory Khimulya
- E. C. Alley
- Jeffrey J. Gray
- Alex Hawkins-Hooker
Citations in the corpus
- Generating functional protein variants with variational autoencoders (2020, background): “Indeed, evolutionary information from alignments has previously proven useful in protein design and engineering [33–35].”
- Low-N protein engineering with data-efficient deep learning (2020, methodology): “We clonally validated our best designs and compared them to sequences produced by ancestral sequence reconstruction (ASR) 43,44 and consensus sequence design 45,46 (Methods).”
- Deep Learning in Protein Structural Modeling and Design (2020, background): “These approaches are well suited to create new proteins with functionality matching existing proteins based on sequence information alone, in a manner similar to consensus design.(180) The second class follows the ‘‘fold-before-function’’ scheme and seeks to stabilize specific 3D structures, perhaps”