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Predicting antibody affinity changes upon mutations by combining multiple predictors

Predicting antibody affinity changes upon mutations by combining multiple predictors

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7658247

Predicting antibody affinity changes upon mutations by combining multiple predictors

About this item

Full title

Predicting antibody affinity changes upon mutations by combining multiple predictors

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2020-11, Vol.10 (1), p.19533-19533, Article 19533

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Antibodies are proteins working in our immune system with high affinity and specificity for target antigens, making them excellent tools for both biotherapeutic and bioengineering applications. The prediction of antibody affinity changes upon mutations (
Δ
Δ
G
binding
) is important for antibody engineering. Numerous computational me...

Alternative Titles

Full title

Predicting antibody affinity changes upon mutations by combining multiple predictors

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7658247

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7658247

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-020-76369-8

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