Improved prediction of antibody and their complexes with clustered generative modelling ensembles

The input datasets and codes involved in this research are available at https://github.com/haddocking/alphaflow-antibodies. All the resulting modelling data are available from Zenodo (https://zenodo.org/records/14906314).

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Publication Details

Journal
Bioinformatics Advances
Published
2024-12-26
DOI
https://doi.org/10.1093/bioadv/vbaf161
Citations
1
Primary Topic
Monoclonal and Polyclonal Antibodies Research
Type
article
Field-Weighted Citation Impact
0.40

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article

Improved prediction of antibody and their complexes with clustered generative modelling ensembles

Marco Giulini, Alexandre M. J. J. Bonvin, Xiaotong Xu
1 citations
Bioinformatics Advances
Monoclonal and Polyclonal Antibodies Research
0.40
article

Improved prediction of antibody and their complexes with clustered generative modelling ensembles

Marco Giulini, Alexandre M. J. J. Bonvin, Xiaotong Xu
article en
1 citations

Abstract

The input datasets and codes involved in this research are available at https://github.com/haddocking/alphaflow-antibodies. All the resulting modelling data are available from Zenodo (https://zenodo.org/records/14906314).

Bioinformatics AdvancesVol. 5(1)
University of Applied Sciences Utrecht (NL)
China Scholarship Council
Openalex Percentile: Top 30%
Monoclonal and Polyclonal Antibodies Research
0.40
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