Pabst Patent Group LLP | Austin Yongye
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Austin  Yongye


  • J.D., Georgia State University
  • Ph.D., Chemistry, The University of Georgia
  • B.Sc., Chemistry, The University of Buea


  • Georgia
  • U.S. Patent and Trademark Office
Austin Yongye, J.D., Ph.D.
Tel: 404.879.2344
Fax: 404.879.2160
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Austin Yongye, Ph.D. serves as an Associate in the areas of chemistry and pharmaceuticals.

Dr. Yongye drafts patent applications, prosecutes U.S. patent applications (drafts responses, amendments, and appeal and reply briefs), and corresponds with foreign associates to guide the prosecution of foreign applications.

Dr. Yongye graduated with a B.Sc. (First-Class Honors) in Chemistry from the University of Buea in 2000 and a Ph.D. in Chemistry from the University of Georgia in 2008. His graduate research carried out at the Complex Carbohydrate Research Center in the laboratory of Prof. Robert J. Woods, involved the computational characterization of the chemistries of carbohydrate interactions. He worked on the development of a carbohydrate force field, GLYCAM06, for use in both molecular mechanics and quantum mechanics methods. Upon completing his degree, he accepted a post-doctoral fellowship at the Torrey Pines Institute for Molecular Studies in the laboratory of Dr. Karina Martinez-Mayorga. At the Torrey Pines Institute he used molecular dynamics simulations to study the conformational properties of small molecules, peptides and receptors of pharmaceutical relevance; and used cheminformatics methods to systematically mine the structure-activity relationships of small molecules screened against biological targets.

Dr. Yongye has presented his research at numerous regional and international conferences, and has co-authored several manuscripts and text books, including: “Computational Techniques Applied to Defining Carbohydrate Antigenicity. In Anticarbohydrate Antibodies – from Molecular Basis to Clinical Applications.” Kosma, P, Ed. Springer New York Vienna, 2011; “Consensus Models of Activity Landscapes. In Statistical Modeling of Molecular Descriptors in QSAR/QSPR,” Dehmer, M.; Varmuza, K.; Bonchev, D., Eds., Wiley-VCH, 2011; “Systematic characterization of structure-activity relationships and ADMET compliance: a case study.” Drug Discovery Today (2013); “Data mining of protein-binding profiling data identifies structural modifications that distinguish selective and promiscuous compounds.” Journal of Chemical Information and Modelling (2012); “GLYCAM06: A generalizable biomolecular force field: Carbohydrates.” Journal of Computational Chemistry (2008).