T
Tom M Conrad
Researcher at University of California, San Diego
Publications - 16
Citations - 3233
Tom M Conrad is an academic researcher from University of California, San Diego. The author has contributed to research in topics: Gene & Internal medicine. The author has an hindex of 9, co-authored 12 publications receiving 2844 citations. Previous affiliations of Tom M Conrad include University of North Carolina at Chapel Hill & Nara Institute of Science and Technology.
Papers
More filters
Journal ArticleDOI
A comprehensive genome‐scale reconstruction of Escherichia coli metabolism—2011
Jeffrey D. Orth,Tom M Conrad,Jessica Na,Joshua A. Lerman,Hojung Nam,Adam M. Feist,Bernhard O. Palsson +6 more
TL;DR: The initial genome‐scale reconstruction of the metabolic network of Escherichia coli K‐12 MG1655 was assembled in 2000 and an update has now been built, named iJO1366, which accounts for 1366 genes, 2251 metabolic reactions, and 1136 unique metabolites.
Journal ArticleDOI
Omic data from evolved E. coli are consistent with computed optimal growth from genome‐scale models
Nathan E. Lewis,Kim K. Hixson,Tom M Conrad,Joshua A. Lerman,Pep Charusanti,Ashoka D. Polpitiya,Joshua N. Adkins,Gunnar Schramm,Gunnar Schramm,Samuel O. Purvine,Daniel Lopez-Ferrer,Karl K. Weitz,Roland Eils,Roland Eils,Rainer König,Rainer König,Richard D. Smith,Bernhard O. Palsson +17 more
TL;DR: In this article, the authors reported that >98% of active reactions from FBA optimal growth solutions are supported by transcriptomic and proteomic data, and when E. coli adapts to growth rate selective pressure, the evolved strains upregulated genes within the optimal growth predictions, and downregulated genes outside of the optimal solutions.
Journal ArticleDOI
BiGG: a Biochemical Genetic and Genomic knowledgebase of large scale metabolic reconstructions.
TL;DR: BiGG addresses a need in the systems biology community to have access to high quality curated metabolic models and reconstructions by integrating several published genome-scale metabolic networks into one resource with standard nomenclature.
Journal ArticleDOI
Microbial laboratory evolution in the era of genome‐scale science
TL;DR: This work reviews studies centered on four central themes of laboratory evolution studies: the genetic basis of adaptation; the importance of mutations to genes that encode regulatory hubs; the view of adaptive evolution as an optimization process; and the dynamics with which laboratory populations evolve.
Journal ArticleDOI
RNA polymerase mutants found through adaptive evolution reprogram Escherichia coli for optimal growth in minimal media
Tom M Conrad,Michael Frazier,Andrew R. Joyce,Byung-Kwan Cho,Eric M. Knight,Nathan E. Lewis,Robert Landick,Bernhard O. Palsson +7 more
TL;DR: Analysis of specific small deletions within the rpoC gene encoding the β′-subunit of RNA polymerase (RNAP) suggest that reprogramming the kinetic parameters of RNAP through specific mutations allows regulatory adaptation for optimal growth in new environments.