Patricia Babbitt

Patricia Babbitt
Born Patricia Clement Babbitt
Education University of California, San Francisco (PhD)
Awards ISCB Fellow (2018)[1]
Scientific career
Fields Bioinformatics[2]
Computational biology[2]
Institutions University of California, San Francisco
Thesis Sequence determination, expression, and site-directed mutagenesis of creatine kinase (1988)
Doctoral advisor George L. Kenyon[3]
Irwin "Tack" Kuntz[3]
Website profiles.ucsf.edu/patricia.babbitt

Patricia Clement Babbitt is a Professor and Principal Investigator (PI) in the School of Pharmacy at the University of California, San Francisco (UCSF).[2][4][5][6][7] She was elected a fellow of the International Society for Computational Biology (ISCB) in 2018 for outstanding contributions to the fields of computational biology and bioinformatics.[1]

References

  1. 1 2 Anon (2018). "ISCB Fellows". iscb.org. International Society for Computational Biology.
  2. 1 2 3 Patricia Babbitt publications indexed by Google Scholar Edit this at Wikidata
  3. 1 2 Babbit, Patricia Clement (1988). Sequence determination, expression, and site-directed mutagenesis of creatine kinase. proquest.com (PhD thesis). University of California, San Francisco. OCLC 19528718. (subscription required)
  4. ↑ "Patricia Babbitt - UCSF Profiles". profiles.ucsf.edu.
  5. ↑ "Babbitt Lab Website". babbittlab.ucsf.edu.
  6. ↑ Gerlt, John A.; Babbitt, Patricia C. (2001). "Divergent Evolution of Enzymatic Function: Mechanistically Diverse Superfamilies and Functionally Distinct Suprafamilies". Annual Review of Biochemistry. 70 (1): 209–246. doi:10.1146/annurev.biochem.70.1.209. ISSN 0066-4154. PMID 11395407.
  7. ↑ Radivojac, Predrag; Clark, Wyatt T; Oron, Tal Ronnen; Schnoes, Alexandra M; Wittkop, Tobias; Sokolov, Artem; Graim, Kiley; Funk, Christopher; Verspoor, Karin; Ben-Hur, Asa; Pandey, Gaurav; Yunes, Jeffrey M; Talwalkar, Ameet S; et al. (2013). "A large-scale evaluation of computational protein function prediction". Nature Methods. 10 (3): 221–227. doi:10.1038/nmeth.2340. ISSN 1548-7091. PMC 3584181. PMID 23353650.
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