O
Osbaldo Resendis-Antonio
Researcher at National Autonomous University of Mexico
Publications - 55
Citations - 1558
Osbaldo Resendis-Antonio is an academic researcher from National Autonomous University of Mexico. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 17, co-authored 43 publications receiving 1114 citations. Previous affiliations of Osbaldo Resendis-Antonio include University of California, San Diego.
Papers
More filters
Journal ArticleDOI
MEMOTE for standardized genome-scale metabolic model testing
Christian Lieven,Moritz Emanuel Beber,Brett G. Olivier,Frank Bergmann,Meriç Ataman,Parizad Babaei,Jennifer A. Bartell,Lars M. Blank,Siddharth Chauhan,Kevin Correia,Christian Diener,Christian Diener,Andreas Dräger,Birgitta E. Ebert,Birgitta E. Ebert,Janaka N. Edirisinghe,José P. Faria,Adam M. Feist,Adam M. Feist,Georgios Fengos,Ronan M. T. Fleming,Beatriz García-Jiménez,Beatriz García-Jiménez,Vassily Hatzimanikatis,Wout van Helvoirt,Wout van Helvoirt,Christopher S. Henry,Henning Hermjakob,Markus J. Herrgård,Ali Kaafarani,Hyun Uk Kim,Zachary A. King,Steffen Klamt,Edda Klipp,Jasper J. Koehorst,Matthias König,Meiyappan Lakshmanan,Dong-Yup Lee,Dong-Yup Lee,Sang Yup Lee,Sang Yup Lee,Sunjae Lee,Sunjae Lee,Nathan E. Lewis,Filipe Liu,Hongwu Ma,Daniel Machado,Radhakrishnan Mahadevan,Paulo Maia,Adil Mardinoglu,Adil Mardinoglu,Gregory L. Medlock,Jonathan M. Monk,Jens Nielsen,Jens Nielsen,Lars K. Nielsen,Lars K. Nielsen,Juan Nogales,Intawat Nookaew,Intawat Nookaew,Bernhard O. Palsson,Bernhard O. Palsson,Jason A. Papin,Kiran Raosaheb Patil,Mark G. Poolman,Nathan D. Price,Osbaldo Resendis-Antonio,Anne Richelle,Isabel Rocha,Isabel Rocha,Benjamin Sanchez,Benjamin Sanchez,Peter J. Schaap,Rahuman S. Malik Sheriff,Saeed Shoaie,Saeed Shoaie,Nikolaus Sonnenschein,Bas Teusink,Paulo Vilaça,Jon Olav Vik,Judith A. H. Wodke,Joana C. Xavier,Qianqian Yuan,Maksim Zakhartsev,Cheng Zhang +84 more
TL;DR: A community effort to develop a test suite named MEMOTE (for metabolic model tests) to assess GEM quality, and advocate adoption of the latest version of the Systems Biology Markup Language level 3 flux balance constraints (SBML3FBC) package as the primary description and exchange format.
Journal ArticleDOI
Regulation by transcription factors in bacteria: beyond description
Enrique Balleza,Lucia Nikolaia López-Bojorquez,Agustino Martínez-Antonio,Osbaldo Resendis-Antonio,Irma Lozada-Chávez,Yalbi I. Balderas-Martínez,Sergio Encarnación,Julio Collado-Vides +7 more
TL;DR: This review transmits the main ideas or concepts behind regulation by transcription factors and gives just enough examples to sustain these main ideas, thus avoiding a classical ennumeration of facts.
Journal ArticleDOI
MICOM: Metagenome-Scale Modeling To Infer Metabolic Interactions in the Gut Microbiota.
TL;DR: In this article, a customizable metabolic model of the human gut microbiome is presented, based on a heuristic optimization approach based on L2 regularization, which is able to obtain a unique set of realistic growth rates that corresponded well with observed replication rates.
Journal ArticleDOI
Modular analysis of the transcriptional regulatory network of E. coli
Osbaldo Resendis-Antonio,Julio A. Freyre-González,Ricardo Menchaca-Mendez,Rosa M. Gutiérrez-Ríos,Agustino Martínez-Antonio,Cristhian Ávila-Sánchez,Julio Collado-Vides +6 more
TL;DR: These modules were identified by a clustering approach, using the shortest path to trace regulatory relationships across genes in the network, and the type and distribution of motifs between and within modules supported the notion of a hierarchical network with defined functional modules.
Journal ArticleDOI
Metabolic Reconstruction and Modeling of Nitrogen Fixation in Rhizobium etli
Osbaldo Resendis-Antonio,Jennifer L. Reed,Sergio Encarnación,Julio Collado-Vides,Bernhard O. Palsson +4 more
TL;DR: Some evidence is presented supporting that FBA of the reconstructed metabolic network for R. etli provides results that are in agreement with physiological observations, and the reconstructed genome-scale metabolic network provides an important framework which allows us to compare model predictions with experimental measurements and eventually generate hypotheses on ways to improve nitrogen fixation.