Predicting Monoclonal Antibody Binding Sequences from a Sparse Sampling of All Possible Sequences

Abstract excerpt

<title>Abstract</title> <p>A general approach is described for creating a comprehensive and quantitative model for predicting the binding of a monoclonal antibody (mAb) to any short linear sequence of amino acids. Binding of 8 different mAbs with continuous epitopes to a common library of ~122,000 near-random peptide sequences arrayed on a silica substrate was used to train neural network models resulting in a ge...

Topics

Open a Topic to create a Post that cites this publication.

• Biosimilars and Bioanalytical Methods
• Glycosylation and Glycoproteins Research
• Monoclonal and Polyclonal Antibodies Research
• RNA and protein synthesis mechanisms
• vaccines and immunoinformatics approaches
• Viral Infectious Diseases and Gene Expression in Insects

Identifiers and source

Literature Corpus work

d27e56d6-c067-5827-ab21-8e266eb39417

DOI

10.21203/rs.3.rs-3560097/v1