• Skip to primary navigation
  • Skip to main content
SRI logo
  • About
    • Press room
    • Our history
  • Expertise
    • Advanced imaging systems
    • Artificial intelligence
    • Biomedical R&D services
    • Biomedical sciences
    • Computer vision
    • Cyber & formal methods
    • Education and learning
    • Innovation strategy and policy
    • National security
    • Ocean & space
    • Quantum
    • QED-C
    • Robotics, sensors & devices
    • Speech & natural language
    • Video test & measurement
  • Ventures
  • NSIC
  • Careers
  • Contact
  • 日本支社
Search
Close
Home » Archives for Mario Latendresse
Mario Latendresse

Mario Latendresse

Sr Computer Scientist, Artificial Intelligence Center
Go to bio page

Publications

Artificial intelligence publications October 31, 2021

Metabolic Modeling with MetaFlux 

Peter Karp, Mario Latendresse, Wai Kit Ong

The MetaFlux software supports creating, executing, and solving quantitative metabolic flux models using flux balance analysis (FBA).

Artificial intelligence publications June 3, 2019

Metabolic Route Computation in Organism Communities

Mario Latendresse, Peter Karp

We developed an efficient software tool to search for metabolic routes that include metabolic reactions from multiple organisms.

Biomedical sciences publications May 2, 2019

Using pathway covering to explore connections among metabolites

Paul O’Maille, Mario Latendresse, Peter Karp

Pathway Covering is a new algorithm that takes a list of metabolites (compounds) and determines a minimum-cost set of metabolic pathways in an organism that includes (covers) all the metabolites in the list.

Artificial intelligence publications February 1, 2019

A Comparison of Microbial Genome Web Portals

Peter Karp, Mario Latendresse, Suzanne Paley

This article compares the capabilities of the major microbial genome web portals to aid researchers in determining which portal(s) are best suited to their needs.

Artificial intelligence publications January 1, 2018

Evaluation of reaction gap-filling accuracy by randomization

Mario Latendresse, Peter Karp

We report on computational experiments of reaction gap filling in which we generated degraded versions of the EcoCyc-20.0-GEM model by randomly removing flux-carrying reactions from a growing model.

Artificial intelligence publications January 1, 2018

How accurate is automated gap filling of metabolic models?

Peter Karp, David Weaver, Mario Latendresse

Here we compare the results of applying an automated likelihood-based gap filler within the Pathway Tools software with the results of manually gap filling the same metabolic model.

Artificial intelligence publications January 1, 2018

The MetaCyc database of metabolic pathways and enzymes

Mario Latendresse, Peter Karp, Suzanne Paley

This article provides an update on the developments in MetaCyc during the past two years, including the expansion of data and addition of new features.

Artificial intelligence publications January 1, 2017 Journal Article

The BioCyc collection of microbial genomes and metabolic pathways

Peter Karp, Mario Latendresse, Suzanne Paley

BioCyc.org is a microbial genome Web portal that combines thousands of genomes with additional information inferred by computer programs, imported from other databases and curated from the biomedical literature by biologist curators.

Artificial intelligence publications January 1, 2017

The EcoCyc Database: Reflecting New Knowledge About Escherichia Coli K-12

Mario Latendresse, David Weaver, Peter Karp, Suzanne Paley

New experimental discoveries about gene products, their function and regulation, new metabolic pathways, enzymes and cofactors are regularly added to EcoCyc.

  • Go to page 1
  • Go to page 2
  • Go to page 3
  • Interim pages omitted …
  • Go to page 5
  • Go to Next Page »

How can we help?

Once you hit send…

We’ll match your inquiry to the person who can best help you.

Expect a response within 48 hours.

Career call to action image

Make your own mark.

Search jobs

Our work

Case studies

Publications

Timeline of innovation

Areas of expertise

Institute

Leadership

Press room

Media inquiries

Compliance

Careers

Job listings

Contact

SRI Ventures

Our locations

Headquarters

333 Ravenswood Ave
Menlo Park, CA 94025 USA

+1 (650) 859-2000

Subscribe to our newsletter


日本支社
SRI International
  • Contact us
  • Privacy Policy
  • Cookies
  • DMCA
  • Copyright © 2022 SRI International