Fairlight, Australia

Jiri Novotny


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2010-2011

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3 patents (USPTO):Explore Patents

Title: Jiri Novotny: Innovator in Structural Biology and Bioinformatics

Introduction

Jiri Novotny is a prominent inventor based in Fairlight, Australia. He has made significant contributions to the field of structural biology and bioinformatics, holding a total of 3 patents. His work focuses on the intricate relationship between amino acid sequences and the three-dimensional structures of proteins.

Latest Patents

One of Jiri Novotny's latest patents is centered on sequence pattern descriptors for transmembrane structural details. This patent addresses the core aspects of structural biology and bioinformatics, emphasizing the importance of understanding how non-canonical conformations are encoded by short peptide sequences. By employing training sets, effective descriptors can be formed for these sequences. The invention creates multiple distinct patterns that represent these sequences, ultimately leading to a composite descriptor with high sensitivity and specificity, as well as an enhanced signal-to-noise ratio.

Career Highlights

Jiri Novotny is associated with the International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to explore innovative solutions in the realm of bioinformatics and structural biology. His research has been instrumental in advancing the understanding of protein structures and their functions.

Collaborations

Throughout his career, Jiri has collaborated with notable colleagues, including Isidore Rigoutsos and Peter Riek. These collaborations have further enriched his research and contributed to the development of groundbreaking technologies in his field.

Conclusion

Jiri Novotny's contributions to structural biology and bioinformatics through his innovative patents and collaborations highlight his role as a key figure in advancing scientific knowledge. His work continues to influence the understanding of protein structures and their implications in various biological processes.

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