J
J. Harry Caufield
Researcher at University of California, Los Angeles
Publications - 29
Citations - 420
J. Harry Caufield is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 9, co-authored 24 publications receiving 292 citations. Previous affiliations of J. Harry Caufield include University of California, Berkeley & Virginia Commonwealth University.
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Journal ArticleDOI
Global landscape of cell envelope protein complexes in Escherichia coli
Mohan Babu,Cedoljub Bundalovic-Torma,Cedoljub Bundalovic-Torma,Charles Calmettes,Charles Calmettes,Sadhna Phanse,Sadhna Phanse,Qingzhou Zhang,Yue Jiang,Zoran Minic,Sun Young Kim,Jitender Mehla,Alla Gagarinova,Irina A. Rodionova,Ashwani Kumar,Hongbo Guo,Olga Kagan,Oxana Pogoutse,Hiroyuki Aoki,Viktor Deineko,J. Harry Caufield,Erik Holtzapple,Erik Holtzapple,Zhongge Zhang,Åke Västermark,Yogee Pandya,Christine Chieh-Lin Lai,Majida El Bakkouri,Yogesh Hooda,Megha Shah,Dan Burnside,Mohsen Hooshyar,James Vlasblom,Sessandra V. Rajagopala,Ashkan Golshani,Stefan Wuchty,Jack Greenblatt,Milton H. Saier,Peter Uetz,Trevor F. Moraes,John Parkinson,John Parkinson,Andrew Emili,Andrew Emili +43 more
TL;DR: A proteomic survey of 1,347 CEPs encompassing 90% inner- and outer-membrane and periplasmic proteins of Escherichia coli provides insights into the functional landscape governing CE systems essential to bacterial growth, metabolism and drug resistance.
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The Yeast Two-Hybrid System: A Tool for Mapping Protein–Protein Interactions
TL;DR: This introduction describes library- and array-based Y2H methods and explains their basic theory, and includes the rationale behind different Y 2H approaches and strategies for optimizing results.
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Studying protein complexes by the yeast two-hybrid system
TL;DR: This work investigates how the yeast two-hybrid system can be used to analyze direct interactions among proteins in a complex, and reviews an Y2H analysis of the human spliceosome which may serve as an example for a dynamic mega-complex.
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A reference set of curated biomedical data and metadata from clinical case reports
J. Harry Caufield,Yijiang Zhou,Yijiang Zhou,Anders O. Garlid,Shaun P. Setty,David A. Liem,Quan Cao,Jessica M. Lee,Sanjana Murali,Sarah Spendlove,Wei Wang,Li Zhang,Yizhou Sun,Alex A. T. Bui,Henning Hermjakob,Henning Hermjakob,Karol E. Watson,Peipei Ping +17 more
TL;DR: A standardized metadata template and MACCR set are developed that render CCRs more findable, accessible, interoperable, and reusable while serving as valuable resources for key user groups, including researchers, physician investigators, clinicians, data scientists, and those shaping government policies for clinical trials.
Journal ArticleDOI
Generalisable long COVID subtypes: Findings from the NIH N3C and RECOVER programmes
J. Reese,Hannah Blau,Elena Casiraghi,Timothy Bergquist,Johanna Loomba,Tiffany J. Callahan,Bryan Laraway,Corneliu C. Antonescu,B. Coleman,Michael A. Gargano,Kenneth J. Wilkins,Luca Cappelletti,Tommaso Fontana,Nariman Ammar,Blessy Antony,T. M. Murali,J. Harry Caufield,Guy Karlebach,Julie A. McMurry,Andrew E. Williams,Richard A. Moffitt,Jineta Banerjee,Anthony Solomonides,Hannah Davis,Kristin Kostka,Giorgio Valentini,David Sahner,Christopher G. Chute,Charisse R. Madlock-Brown,Melissa A. Haendel,Peter N. Robinson,Heidi Spratt,Shyam Visweswaran,Joseph E. Flack,Yung Jae Yoo,Davera Gabriel,G. Caleb Alexander,Hemalkumar B. Mehta,Feifan Liu,Robert T. Miller,R. Wong,Elaine Hill,Lorna E. Thorpe,Jasmin Divers +43 more
TL;DR: In this article , a nonlinear similarity function is defined to map from a feature space of phenotypic abnormalities to a matrix of pairwise patient similarity that can be clustered using unsupervised machine learning.