U
Upinder S. Bhalla
Researcher at National Centre for Biological Sciences
Publications - 120
Citations - 7825
Upinder S. Bhalla is an academic researcher from National Centre for Biological Sciences. The author has contributed to research in topics: Olfactory bulb & Odor. The author has an hindex of 38, co-authored 113 publications receiving 7268 citations. Previous affiliations of Upinder S. Bhalla include Tata Institute of Fundamental Research & California Institute of Technology.
Papers
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Journal ArticleDOI
Emergent Properties of Networks of Biological Signaling Pathways
Upinder S. Bhalla,Ravi Iyengar +1 more
TL;DR: Biochemical signaling networks were constructed with experimentally obtained constants and analyzed by computational methods to understand their role in complex biological processes and raise the possibility that information for "learned behavior" of biological systems may be stored within intracellular biochemical reactions that comprise signaling pathways.
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MAP Kinase Phosphatase As a Locus of Flexibility in a Mitogen-Activated Protein Kinase Signaling Network
TL;DR: It is found that the growth factor–stimulated signaling network containing MAPK 1, 2/PKC can operate with one (monostable) or two (bistable) stable states, and MAPK phosphatase may be critical for this flexible response.
Journal ArticleDOI
Minimum information requested in the annotation of biochemical models (MIRIAM)
Nicolas Le Novère,Andrew Finney,Michael Hucka,Upinder S. Bhalla,Fabien Campagne,Julio Collado-Vides,Edmund J. Crampin,Matt D. B. Halstead,Edda Klipp,Pedro Mendes,Poul M. F. Nielsen,Herbert M. Sauro,Bruce E. Shapiro,Jacky L. Snoep,Hugh D. Spence,Barry L. Wanner +15 more
TL;DR: These rules define procedures for encoding and annotating models represented in machine-readable form to enable users to have confidence that curated models are an accurate reflection of their associated reference descriptions and to facilitate model reuse and composition into large subcellular models.
Journal ArticleDOI
Complexity in Biological Signaling Systems
TL;DR: The origins of the complex behavior of signaling networks and analytical approaches to deal with the emergent complexity are discussed here.
Journal ArticleDOI
NeuroML: a language for describing data driven models of neurons and networks with a high degree of biological detail.
Padraig Gleeson,Sharon M. Crook,Robert C. Cannon,Michael L. Hines,Guy Billings,Matteo Farinella,Thomas M. Morse,Andrew P. Davison,Subhasis Ray,Upinder S. Bhalla,Simon R Barnes,Yoana D Dimitrova,R. Angus Silver +12 more
TL;DR: The development of NeuroML as a common description language for biophysically detailed neuronal and network models enables interoperability across multiple simulation environments, thereby improving model transparency, accessibility and reuse in computational neuroscience.