Predicted antibody structures used to compare the accuracy of IgFold to alternative methods, including RepertoireBuilder, DeepAb, ABlooper, NanoNet, and AlphaFold
Next-generation sequencing of the immunoglobulin gene repertoire (Ig-seq) produces large volumes of ...
Abstract Summary: We describe a web server for the automatic prediction of immunoglob...
Background The usefulness of antibodies and antibody derived artificial constructs in various medica...
Antibody structures used for training IgFold. Structures are categorized into three sets: experiment...
Antibody Fv structures generated for benchmarking recent antibody structure prediction methods in "A...
Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodie
Summary: We describe a web server for the automatic prediction of immunoglobulin variable domains ba...
Methods for antibody structure prediction rely on sequence homology to experimentally determined str...
We describe the methodology and results from our validation study of the fully automated antibody st...
Next-generation sequencing of immunoglobulin gene repertoires (Ig-seq) allows the investigation of l...
Next-generation sequencing of immunoglobulin gene repertoires (Ig-seq) allows the investigation of l...
In this thesis, we establish the foundations for structure-based antibody drug discovery from natura...
Summary: We describe a web server for the automatic prediction of immunoglobulin variable domains ba...
We have developed a software suite to predict protein structures from sequence through the integrati...
In recent decades, antibodies have emerged as indispensable therapeutics for combating diseases, par...
Next-generation sequencing of the immunoglobulin gene repertoire (Ig-seq) produces large volumes of ...
Abstract Summary: We describe a web server for the automatic prediction of immunoglob...
Background The usefulness of antibodies and antibody derived artificial constructs in various medica...
Antibody structures used for training IgFold. Structures are categorized into three sets: experiment...
Antibody Fv structures generated for benchmarking recent antibody structure prediction methods in "A...
Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodie
Summary: We describe a web server for the automatic prediction of immunoglobulin variable domains ba...
Methods for antibody structure prediction rely on sequence homology to experimentally determined str...
We describe the methodology and results from our validation study of the fully automated antibody st...
Next-generation sequencing of immunoglobulin gene repertoires (Ig-seq) allows the investigation of l...
Next-generation sequencing of immunoglobulin gene repertoires (Ig-seq) allows the investigation of l...
In this thesis, we establish the foundations for structure-based antibody drug discovery from natura...
Summary: We describe a web server for the automatic prediction of immunoglobulin variable domains ba...
We have developed a software suite to predict protein structures from sequence through the integrati...
In recent decades, antibodies have emerged as indispensable therapeutics for combating diseases, par...
Next-generation sequencing of the immunoglobulin gene repertoire (Ig-seq) produces large volumes of ...
Abstract Summary: We describe a web server for the automatic prediction of immunoglob...
Background The usefulness of antibodies and antibody derived artificial constructs in various medica...
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