M
Michael A. Saunders
Researcher at Stanford University
Publications - 200
Citations - 37808
Michael A. Saunders is an academic researcher from Stanford University. The author has contributed to research in topics: Nonlinear programming & Constrained optimization. The author has an hindex of 59, co-authored 194 publications receiving 34804 citations. Previous affiliations of Michael A. Saunders include Carleton University & University of California, San Diego.
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Journal ArticleDOI
Depleting MET-Expressing Tumor Cells by ADCC Provides a Therapeutic Advantage over Inhibiting HGF/MET Signaling
Anna Hultberg,Virginia Morello,Leander Huyghe,Natalie De Jonge,Christophe Blanchetot,Valérie Hanssens,Gitte De Boeck,Karen Silence,Els Festjens,Raimond Heukers,Benjamin Roux,Fabienne Lamballe,Christophe Ginestier,Emmanuelle Charafe-Jauffret,Flavio Maina,Peter Brouckaert,Michael A. Saunders,A. Thibault,Torsten Dreier,Hans de Haard,Paolo Michieli +20 more
TL;DR: This study engineered an antagonistic anti-MET antibody that, in addition to blocking HGF/MET signaling, also kills MET-overexpressing cancer cells by antibody-dependent cellular cytotoxicity (ADCC), generating an antibody (ARGX-111) with improved pharmacologic properties.
Journal ArticleDOI
Properties of a Representation of a Basis for the Null Space.
TL;DR: How Z can be obtained by updating an explicit QR factorization with Householder transformations is described and why the chosen form ofZ is convenient in certain methods for nonlinearly constrained optimization is indicated.
Journal ArticleDOI
Reliable and efficient solution of genome-scale models of Metabolism and macromolecular Expression
Ding Ma,Laurence Yang,Ronan M. T. Fleming,Ines Thiele,Bernhard O. Palsson,Michael A. Saunders +5 more
TL;DR: DQQ will enable extensive use of large linear and nonlinear models in systems biology and other applications involving multiscale data, and achieves reliability and efficiency for ME models and other challenging problems tested here.
ReportDOI
MINOS System Manual.
TL;DR: MINOS is a Fortran system for solving large-scale linearly constrained optimization problems and the System Manual gives an overview of the system, the programming conventions used, data structures, tolerances, and error conditions.
Journal ArticleDOI
Robust flux balance analysis of multiscale biochemical reaction networks.
Yuekai Sun,Ronan M. T. Fleming,Ronan M. T. Fleming,Ines Thiele,Ines Thiele,Michael A. Saunders +5 more
TL;DR: Lifting techniques for flux balance analysis are implemented within the openCOBRA toolbox and demonstrated using the first integrated reconstruction of metabolism and macromolecular synthesis for E. coli.