Company Filing History:
Years Active: 2004-2009
Title: John Klepeis: Innovator in Computational Biology
Introduction
John Klepeis is a notable inventor based in New Fairfield, CT (US). He has made significant contributions to the field of computational biology, holding 2 patents that showcase his innovative approaches to complex scientific problems.
Latest Patents
Klepeis's latest patents include a method for grid-based computation for multiple body simulation. This invention describes a method, software, and system for processing a charge distribution according to a spreading function and a predefined operation. Another significant patent focuses on methods of ab initio prediction of α helices, β sheets, and polypeptide tertiary structures. This invention provides a novel four-stage ab initio approach for predicting the tertiary structure of polypeptides. The methods combine classical and modern views of protein folding, utilizing free energy calculations and integer linear optimization to predict helical and β-sheet structures. The final tertiary structure prediction is based on detailed atomistic modeling and a deterministic global optimization method, αBB, coupled with torsion angle dynamics.
Career Highlights
Throughout his career, John Klepeis has worked with esteemed organizations such as D.E. Shaw Research, LLC and Princeton University. His work has significantly advanced the understanding of protein folding and computational methods in biology.
Collaborations
Klepeis has collaborated with notable colleagues, including Yibing Shan and Michael Eastwood, contributing to various research projects and innovations in the field.
Conclusion
John Klepeis stands out as an influential inventor in computational biology, with his patents reflecting a deep understanding of protein structures and innovative computational methods. His contributions continue to impact the scientific community and advance research in this vital area.