P
Pedro Mendes
Researcher at University of Connecticut
Publications - 165
Citations - 22923
Pedro Mendes is an academic researcher from University of Connecticut. The author has contributed to research in topics: Systems biology & SBML. The author has an hindex of 56, co-authored 161 publications receiving 21001 citations. Previous affiliations of Pedro Mendes include University of Wales & University of Connecticut Health Center.
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Journal ArticleDOI
The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models.
Michael Hucka,Andrew Finney,Herbert M. Sauro,Hamid Bolouri,Hamid Bolouri,John Doyle,Hiroaki Kitano,Adam P. Arkin,Benjamin Bornstein,Dennis Bray,Athel Cornish-Bowden,Autumn A. Cuellar,S. Dronov,E. D. Gilles,Martin Ginkel,V. Gor,Igor Goryanin,W. J. Hedley,T. C. Hodgman,J.-H.S. Hofmeyr,Peter Hunter,Nick Juty,J. L. Kasberger,Andreas Kremling,Ursula Kummer,N Le Novère,Leslie M. Loew,D. Lucio,Pedro Mendes,E. Minch,Eric Mjolsness,Yoichi Nakayama,Melanie R. Nelson,Poul M. F. Nielsen,T. Sakurada,James C. Schaff,Bruce E. Shapiro,Thomas S. Shimizu,H. D. Spence,Jörg Stelling,Koichi Takahashi,Masaru Tomita,John Wagner,J. Wang +43 more
TL;DR: This work summarizes the Systems Biology Markup Language (SBML) Level 1, a free, open, XML-based format for representing biochemical reaction networks, a software-independent language for describing models common to research in many areas of computational biology.
Journal ArticleDOI
COPASI---a COmplex PAthway SImulator
Stefan Hoops,Sven Sahle,Ralph Gauges,Christine Lee,Jürgen Pahle,Natalia Simus,Mudita Singhal,Liang Xu,Pedro Mendes,Ursula Kummer +9 more
TL;DR: COPASI is presented, a platform-independent and user-friendly biochemical simulator that offers several unique features, and numerical issues with these features are discussed; in particular, the criteria to switch between stochastic and deterministic simulation methods, hybrid deterministic-stochastic methods, and the importance of random number generator numerical resolution in Stochastic simulation.
Journal ArticleDOI
A community-driven global reconstruction of human metabolism
Ines Thiele,Neil Swainston,Ronan M. T. Fleming,Andreas Hoppe,Swagatika Sahoo,Maike K. Aurich,Hulda S. Haraldsdóttir,Monica L. Mo,Ottar Rolfsson,Miranda D. Stobbe,Miranda D. Stobbe,Stefan Gretar Thorleifsson,Rasmus Agren,Christian Bölling,Sergio Bordel,Arvind K. Chavali,Paul D. Dobson,Warwick B. Dunn,Warwick B. Dunn,Lukas Endler,David Hala,Michael Hucka,Duncan Hull,Daniel Jameson,Neema Jamshidi,Jon J. Jonsson,Nick Juty,Sarah M. Keating,Intawat Nookaew,Nicolas Le Novère,Nicolas Le Novère,Naglis Malys,Naglis Malys,Alexander Mazein,Jason A. Papin,Nathan D. Price,Evgeni Selkov,Martin I. Sigurdsson,Evangelos Simeonidis,Evangelos Simeonidis,Nikolaus Sonnenschein,Kieran Smallbone,Anatoly Sorokin,Anatoly Sorokin,Johannes H. G. M. van Beek,Dieter Weichart,Igor Goryanin,Jens Nielsen,Hans V. Westerhoff,Douglas B. Kell,Pedro Mendes,Pedro Mendes,Bernhard O. Palsson,Bernhard O. Palsson +53 more
TL;DR: Recon 2, a community-driven, consensus 'metabolic reconstruction', is described, which is the most comprehensive representation of human metabolism that is applicable to computational modeling and has improved topological and functional features.
Journal ArticleDOI
Plant metabolomics: large-scale phytochemistry in the functional genomics era
TL;DR: The critical role of bioinformatics and various methods of data visualization are summarized and the future role of metabolomics in plant science assessed.
Journal ArticleDOI
Parameter Estimation in Biochemical Pathways: A Comparison of Global Optimization Methods
TL;DR: Although these stochastic methods cannot guarantee global optimality with certainty, their robustness, plus the fact that in inverse problems they have a known lower bound for the cost function, make them the best available candidates.