Raphael John Lamarre Townshend

Title: Raphael John Lamarre Townshend: Protein Stability Prediction

Introduction

Raphael John Lamarre Townshend is an inventor associated with Menlo Park, California. His patent work addresses the use of neural networks to predict the structural stability of proteins from their amino acid sequences. He is associated with Gdm Holding LLC and has 1 patent listed in the information provided.

Latest Patents

Townshend’s listed patent, “Predicting Protein Structural Stability Using Intermediate Outputs of a Protein Structure Prediction Neural Network,” describes methods, systems, and computer programs for estimating protein stability. The approach first processes an amino acid sequence with a structure prediction neural network, which generates an intermediate output while predicting the protein’s structure. A separate stability prediction neural network then processes that intermediate output to produce a score characterizing the predicted structural stability of the protein.

Career Highlights

The patent reflects work at the intersection of protein structure prediction and machine learning. By using intermediate outputs from a structure prediction network, the disclosed method provides a way to generate a stability score from information produced during the structure-prediction process. Townshend is associated with Gdm Holding LLC.

Collaborations

The information provided names David Reiman and John Jumper as Townshend’s coworkers. Their inclusion indicates professional connections, but the supplied details do not specify their roles in the patent or the nature of any collaboration.

Conclusion

Raphael John Lamarre Townshend’s listed patent focuses on applying neural-network outputs to predict protein structural stability, connecting computational protein modeling with machine-learning-based analysis.