title: MOST: a software environment for constraint-based metabolic modeling and strain design.
abstract: CONCLUSIONS
  MOST (metabolic optimization and simulation tool) is a software package that implements GDBB (genetic design through branch and bound) in an intuitive user-friendly interface with excel-like editing functionality, as well as implementing FBA (flux balance analysis), and supporting systems biology markup language and comma-separated values files. GDBB is currently the fastest algorithm for finding gene knockouts predicted by FBA to increase production of desired products, but GDBB has only been available on a command line interface, which is difficult to use for those without programming knowledge, until the release of MOST.
  
  
  METHODS
  MOST is distributed for free on the GNU General Public License. The software and full documentation are available at http://most.ccib.rutgers.edu/.
  
  
  BACKGROUND
  dslun@rutgers.edu.
authors: Center for Computational and Integrative Biology and Department of Computer Science, Rutgers University, Camden, NJ 08102, USA and Phenomics and Bioinformatics Research Centre and School of Mathematics and Statistics, University of South Australia, Mawson Lakes, SA 5095, Australia.
authors: James J
authors: JJ
authors: Kelley
authors: Center for Computational and Integrative Biology and Department of Computer Science, Rutgers University, Camden, NJ 08102, USA and Phenomics and Bioinformatics Research Centre and School of Mathematics and Statistics, University of South Australia, Mawson Lakes, SA 5095, Australia.
authors: Anatoliy
authors: A
authors: Lane
authors: Center for Computational and Integrative Biology and Department of Computer Science, Rutgers University, Camden, NJ 08102, USA and Phenomics and Bioinformatics Research Centre and School of Mathematics and Statistics, University of South Australia, Mawson Lakes, SA 5095, Australia.
authors: Xiaowei
authors: X
authors: Li
authors: Center for Computational and Integrative Biology and Department of Computer Science, Rutgers University, Camden, NJ 08102, USA and Phenomics and Bioinformatics Research Centre and School of Mathematics and Statistics, University of South Australia, Mawson Lakes, SA 5095, Australia.
authors: Brahmaji
authors: B
authors: Mutthoju
authors: Center for Computational and Integrative Biology and Department of Computer Science, Rutgers University, Camden, NJ 08102, USA and Phenomics and Bioinformatics Research Centre and School of Mathematics and Statistics, University of South Australia, Mawson Lakes, SA 5095, Australia.
authors: Shay
authors: S
authors: Maor
authors: Center for Computational and Integrative Biology and Department of Computer Science, Rutgers University, Camden, NJ 08102, USA and Phenomics and Bioinformatics Research Centre and School of Mathematics and Statistics, University of South Australia, Mawson Lakes, SA 5095, Australia.
authors: Dennis
authors: D
authors: Egen
authors: Center for Computational and Integrative Biology and Department of Computer Science, Rutgers University, Camden, NJ 08102, USA and Phenomics and Bioinformatics Research Centre and School of Mathematics and Statistics, University of South Australia, Mawson Lakes, SA 5095, Australia Center for Computational and Integrative Biology and Department of Computer Science, Rutgers University, Camden, NJ 08102, USA and Phenomics and Bioinformatics Research Centre and School of Mathematics and Statistics, University of South Australia, Mawson Lakes, SA 5095, Australia.
authors: Desmond S
authors: DS
authors: Lun
mesh_terms: D000465:Algorithms; D000818:Animals; D019295:Computational Biology / Q000379:methods*; D055786:Gene Knockout Techniques; D064688:Metabolic Flux Analysis / Q000379:methods*; D053858:Metabolic Networks and Pathways; D008954:Models, Biological; D012984:Software