William John Thrift

Title: William John Thrift and Innovation in Peptide Immunogenicity

Introduction

William John Thrift is an inventor based in San Francisco, California. His work includes a patent on using neural networks to predict peptide immunogenicity, an approach aimed at identifying candidate neoantigens with potential immunogenic properties.

Latest Patents

Thrift is associated with 1 patent, titled “Using Neural Networks to Predict Peptide Immunogenicity.” The invention describes methods, systems, compositions, and computer program products for identifying candidate neoantigens. It processes candidate peptide sequences that meet a preset major histocompatibility complex (MHC) presentation criterion, identifies corresponding MHC peptide sequences, and generates input vectors from representations of both. An immunogenicity model then predicts whether each candidate peptide sequence is immunogenic and returns those predictions.

Career Highlights

Thrift is associated with Genentech, Inc. His patented work applies neural-network modeling to peptide analysis, with the goal of supporting the identification of potentially immunogenic neoantigens.

Collaborations

Kai Liu and Milad Salem are identified as Thrift’s coworkers. Their shared professional context connects them to the broader research and innovation environment surrounding his work.

Conclusion

William John Thrift’s patent applies neural networks to the prediction of peptide immunogenicity, contributing a computational approach to candidate neoantigen identification.