Madison, WI, United States of America

Amanda E Mitchell

USPTO Granted Patents = 1 

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Amanda E Mitchell: Innovator in Protein Structure Prediction

Introduction

Amanda E Mitchell is a prominent inventor based in Madison, WI (US). She has made significant contributions to the field of protein structure prediction, showcasing her expertise and innovative spirit. Her work is particularly focused on developing methods that enhance the efficiency of predicting peptide and protein structures.

Latest Patents

Amanda holds a patent for a "Protein structure prediction system." This invention presents an accelerated conformational sampling method for predicting target peptide and protein structures. It involves determining energy minimized synthetic templates using a straightforward system for modeling individual molecular bonds within the subject peptide or protein. The use of these synthetic templates significantly reduces the computational resources required for optimally determining the structural features of the target peptide or protein. Additionally, her invention provides methods for rapid and efficient analysis of the effects of mutations on target peptides and proteins. Amanda has 1 patent to her name.

Career Highlights

Amanda is currently associated with Dnastar, Inc., where she applies her innovative ideas to real-world challenges in molecular biology. Her work has been instrumental in advancing the understanding of protein structures, which is crucial for various applications in biotechnology and medicine.

Collaborations

Throughout her career, Amanda has collaborated with notable professionals in her field, including Frederick R Blattner and Steven J Darnell. These collaborations have further enriched her research and contributed to the success of her projects.

Conclusion

Amanda E Mitchell is a trailblazer in the realm of protein structure prediction, with a focus on enhancing computational methods for molecular analysis. Her contributions are paving the way for advancements in biotechnology and related fields.

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