Company Filing History:
Years Active: 2023
Title: Innovations of Alexander T Taguchi in Protein Modelling
Introduction
Alexander T Taguchi is an accomplished inventor based in San Carlos, CA (US). He has made significant contributions to the field of protein modelling through his innovative methods. His work focuses on utilizing machine learning to design engineered peptides, which has implications for various applications in biotechnology and medicine.
Latest Patents
One of Taguchi's notable patents is titled "Machine learning method for protein modelling to design engineered peptides." This patent outlines methods for designing engineered polypeptides that replicate the molecular structure features of predetermined portions of reference protein structures, such as antibody epitopes or protein binding sites. The patent describes a machine learning model that is trained using blueprint records generated from a reference target structure, with scores calculated based on computational protein modeling. This innovative approach allows for the generation of engineered polypeptides based on the outputs of the trained model.
Career Highlights
Taguchi's career is marked by his dedication to advancing the field of protein engineering. He has successfully developed methods that leverage machine learning to enhance the design process of engineered peptides. His work has the potential to revolutionize how researchers approach protein design and engineering.
Collaborations
Taguchi has collaborated with notable professionals in his field, including Matthew Paul Greving and Kevin Eduard Hauser. These collaborations have likely contributed to the depth and breadth of his research and innovations.
Conclusion
Alexander T Taguchi's contributions to protein modelling through machine learning represent a significant advancement in the field. His innovative methods and dedication to research continue to pave the way for future developments in biotechnology.