EcoCyc: fusing model organism databases with systems biology
Ingrid M. Keseler,Amanda Mackie,Martín Peralta-Gil,Alberto Santos-Zavaleta,Socorro Gama-Castro,César Bonavides-Martínez,Carol A. Fulcher,Araceli M. Huerta,Anamika Kothari,Markus Krummenacker,Mario Latendresse,Luis Muñiz-Rascado,Quang Ong,Suzanne M. Paley,Imke Schröder,Alexander G. Shearer,Pallavi Subhraveti,Michael Travers,Deepika Weerasinghe,Verena Weiss,Julio Collado-Vides,Robert P. Gunsalus,Ian T. Paulsen,Peter D. Karp +23 more
TLDR
EcoCyc is a model organism database built on the genome sequence of Escherichia coli K-12 MG1655, and the development of EcoCyc as a teaching tool is increasing the impact of the knowledge collected in Eco cycl.Abstract:
EcoCyc (http://EcoCyc.org) is a model organism database built on the genome sequence of Escherichia coli K-12 MG1655. Expert manual curation of the functions of individual E. coli gene products in EcoCyc has been based on information found in the experimental literature for E. coli K-12-derived strains. Updates to EcoCyc content continue to improve the comprehensive picture of E. coli biology. The utility of EcoCyc is enhanced by new tools available on the EcoCyc web site, and the development of EcoCyc as a teaching tool is increasing the impact of the knowledge collected in EcoCyc.read more
Citations
More filters
Journal ArticleDOI
The SEED and the Rapid Annotation of microbial genomes using Subsystems Technology (RAST)
Ross Overbeek,Robert Olson,Gordon D. Pusch,Gary J. Olsen,James J. Davis,Terry Disz,Robert Edwards,Svetlana Gerdes,Bruce Parrello,Maulik Shukla,Veronika Vonstein,Alice R. Wattam,Fangfang Xia,Rick Stevens +13 more
TL;DR: The interconnectedness of the SEED database and RAST, the RAST annotation pipeline and updates to both resources are described.
Journal ArticleDOI
The healthy human microbiome
TL;DR: Several definitions of a ‘healthy microbiome’ that have emerged are reviewed, the current understanding of the ranges of healthy microbial diversity, and gaps such as the characterization of molecular function and the development of ecological therapies to be addressed in the future are reviewed.
Journal ArticleDOI
Quantifying Absolute Protein Synthesis Rates Reveals Principles Underlying Allocation of Cellular Resources
TL;DR: This work presents a genome-wide approach, based on ribosome profiling, for measuring absolute protein synthesis rates, and reveals how general principles, important both for understanding natural systems and for synthesizing new ones, emerge from quantitative analyses of protein synthesis.
Journal ArticleDOI
A Deep Learning Approach to Antibiotic Discovery
Jonathan M. Stokes,Kevin Yang,Kyle Swanson,Wengong Jin,Andres Cubillos-Ruiz,Nina M. Donghia,Craig R. MacNair,Shawn French,Lindsey A. Carfrae,Zohar Bloom-Ackermann,Victoria M. Tran,Anush Chiappino-Pepe,Ahmed H. Badran,Ian W. Andrews,Ian W. Andrews,Ian W. Andrews,Emma J. Chory,George M. Church,Eric D. Brown,Tommi S. Jaakkola,Regina Barzilay,James J. Collins +21 more
TL;DR: A deep neural network capable of predicting molecules with antibacterial activity is trained and a molecule from the Drug Repurposing Hub-halicin- is discovered that is structurally divergent from conventional antibiotics and displays bactericidal activity against a wide phylogenetic spectrum of pathogens.
Journal ArticleDOI
Untangling the Genetic Basis of Fibrolytic Specialization by Lachnospiraceae and Ruminococcaceae in Diverse Gut Communities
TL;DR: By comparing the genomes of the Lachnospiraceae and Ruminococcaceae with the Clostridiaceae, this work identifies key carbohydrate-active enzymes, sugar transport mechanisms, and metabolic pathways that distinguish these two commensal groups as specialists for the degradation of complex plant material.
References
More filters
Journal ArticleDOI
The Complete Genome Sequence of Escherichia coli K-12
Frederick R. Blattner,Guy Plunkett,Craig A. Bloch,Nicole T. Perna,Valerie Burland,Monica Riley,Julio Collado-Vides,Jeremy D. Glasner,Christopher K. Rode,George F. Mayhew,Jason Gregor,Nelson Wayne Davis,Heather A. Kirkpatrick,Michael A. Goeden,Debra J. Rose,Bob Mau,Ying Shao +16 more
TL;DR: The 4,639,221-base pair sequence of Escherichia coli K-12 is presented and reveals ubiquitous as well as narrowly distributed gene families; many families of similar genes within E. coli are also evident.
Journal ArticleDOI
Construction of Escherichia coli K-12 in-frame, single-gene knockout mutants: the Keio collection.
Tomoya Baba,Takeshi Ara,Miki Hasegawa,Yuki Takai,Yoshiko Okumura,Miki Baba,Kirill A. Datsenko,Masaru Tomita,Barry L. Wanner,Hirotada Mori,Hirotada Mori +10 more
TL;DR: These mutants—the ‘Keio collection’—provide a new resource not only for systematic analyses of unknown gene functions and gene regulatory networks but also for genome‐wide testing of mutational effects in a common strain background, E. coli K‐12 BW25113.
Journal ArticleDOI
The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases
Ron Caspi,Richard Billington,Luciana Ferrer,Hartmut Foerster,Carol A. Fulcher,Ingrid M. Keseler,Anamika Kothari,Markus Krummenacker,Mario Latendresse,Lukas A. Mueller,Quang Ong,Suzanne M. Paley,Pallavi Subhraveti,Daniel Weaver,Peter D. Karp +14 more
TL;DR: The BioCyc PGDBs generated by SRI are offered for adoption by any interested party for the ongoing integration of metabolic and genome-related information about an organism.
Journal ArticleDOI
A genome-scale metabolic reconstruction for Escherichia coli K-12 MG1655 that accounts for 1260 ORFs and thermodynamic information.
Adam M. Feist,Christopher S. Henry,Jennifer L. Reed,Markus Krummenacker,Andrew R. Joyce,Peter D. Karp,Linda J. Broadbelt,Vassily Hatzimanikatis,Bernhard O. Palsson +8 more
TL;DR: An updated genome‐scale reconstruction of the metabolic network in Escherichia coli K‐12 MG1655 with increased scope and computational capability is presented, expected to broaden the spectrum of both basic biology and applied systems biology studies of E. coli metabolism.
Journal ArticleDOI
TCDB: the Transporter Classification Database for membrane transport protein analyses and information
TL;DR: The Transporter Classification Database (TCDB) is a web accessible, curated, relational database containing sequence, classification, structural, functional and evolutionary information about transport systems from a variety of living organisms.