about
Effects of cadmium and mercury on the upper part of skeletal muscle glycolysis in miceFluxomicsA data integration methodology for systems biology: experimental verification.A data integration methodology for systems biologyHepatoDyn: A Dynamic Model of Hepatocyte Metabolism That Integrates 13C Isotopomer Data.Strategies for structuring interdisciplinary education in Systems Biology: an European perspective.Metabolic control analysis in drug discovery and disease.Workforce preparation: the Biohealth computing model for Master and PhD studentsSampling with poling-based flux balance analysis: optimal versus sub-optimal flux space analysis of Actinobacillus succinogenes.ChainRank, a chain prioritisation method for contextualisation of biological networksMetabolic Reprogramming and Dependencies Associated with Epithelial Cancer Stem Cells Independent of the Epithelial-Mesenchymal Transition Program.Mathematical modelling of the urea cycle. A numerical investigation into substrate channelling.Is the regulation of galactose 1-phosphate tuned against gene expression noise?Oncogenic regulation of tumor metabolic reprogramming.Relevance of the MEK/ERK signaling pathway in the metabolism of activated macrophages: a metabolomic approach.Carbon metabolism and the sign of control coefficients in metabolic adaptations underlying K-ras transformation.Metabolic network adaptations in cancer as targets for novel therapies.In-silico gene essentiality analysis of polyamine biosynthesis reveals APRT as a potential target in cancer.Dependence of control coefficient distribution on the boundaries of a metabolic system: a generalized analysis of the effects of additional input and output reactions to a linear pathway.Metabolic control analysis aimed at the ribose synthesis pathways of tumor cells: a new strategy for antitumor drug development.Multicriteria optimization of biochemical systems by linear programming: application to production of ethanol by Saccharomyces cerevisiae.Dynamic simulation of pollutant effects on the threonine pathway in Escherichia coli.A method for estimating stochastic noise in large genetic regulatory networks.In silico strategy to rationally engineer metabolite production: A case study for threonine in Escherichia coli.Characterization of the first described mutation of human red blood cell phosphoglycerate mutase.Metabolic homeostasis in the human erythrocyte: in silico analysis.De novo MYC addiction as an adaptive response of cancer cells to CDK4/6 inhibition.Network modules uncover mechanisms of skeletal muscle dysfunction in COPD patients.Untargeted metabolomics reveals distinct metabolic reprogramming in endothelial cells co-cultured with CSC and non-CSC prostate cancer cell subpopulations.Enzymatic and metabolic characterization of the phosphoglycerate kinase deficiency associated with chronic hemolytic anemia caused by the PGK-Barcelona mutation.The changes in the energy metabolism of human muscle induced by training.Advantages and disadvantages of aggregating fluxes into synthetic and degradative fluxes when modelling metabolic pathways.Interoperable and scalable data analysis with microservices: Applications in MetabolomicsPhenoMeNal: Processing and analysis of Metabolomics data in the CloudPhenoMeNal: Processing and analysis of Metabolomics data in the CloudThermodynamically constrained Flux and Control Analysis of Escherichia coliGlycerol metabolic conversion to succinic acid using Actinobacillus succinogenesDual feedback loops in the GAL regulon suppress cellular heterogeneity in yeastEvolution of design principles in biochemical networksCharacterization of the transit and transition times for a pathway unit of Michaelis–Menten mechanism
P50
Q28659889-AB1D88CE-2117-4E07-B2C2-0C675D648DE7Q29041862-71127907-17D3-4AA4-B4A1-5FCD944B4403Q31020012-0D357050-98C1-4795-A166-7164C87B95F5Q31020019-E57E0199-4751-4C26-A17F-27A4C7CB3375Q31086889-114F7B5F-01B9-48DF-8121-37A0A8063568Q33917829-711677F4-62DE-4F08-94C4-C6D1FEE170B5Q34550535-2DFD2616-2D6D-455D-B846-9EE3A61D9216Q34632165-5F8D8B5A-2488-4773-9C70-4C468E1C588DQ35607252-07FD08C2-14AC-436C-A36B-164CE206DA8FQ35884771-A41F9ABC-7E89-4A1A-A65C-88A99BCADB70Q36882685-0679AF72-1E22-435D-A55C-2685BDF6821CQ40559819-6FC78993-70AE-4302-A789-F4B9980E4188Q42199514-928B045B-6E34-403D-A35F-AD0E0B268EABQ42321596-FA0D9E60-A5BC-4F0C-8C11-A9401AE5B655Q42499348-C4401A2E-1CA0-48DD-BFC2-793E38AB2CFAQ42816675-D1994A82-F890-46BC-9F62-173E84FD158FQ42820262-5D4B09C7-C879-416D-A0ED-DF8B20B9F009Q43290042-4A3D1E7D-2AA2-4CB8-83D6-B0C9ACE1DF57Q44019197-2BF9878E-50F3-445D-9B81-A77D8E50CDD6Q44144892-0B6D8FEC-280E-4E99-878E-CDD881285C4AQ44463578-DDE9FFC6-BF1C-40E7-B4F9-00EDDA5FDACEQ44529671-29E9FD98-F8A6-43F4-AC4B-D5C9577872F7Q45023429-3EE50A48-BD4C-44BA-8337-879C0AB6CDC1Q46120851-011EE7B8-F2BA-4F4E-9307-33F4B7941802Q46539956-46614F05-A83C-45A7-8C0F-AB328CB75FB8Q46763358-0D2B6259-1D79-477F-B354-04EDC690B796Q47095669-D95D5F17-6715-48B1-AB96-32A00F820D8BQ49795543-5BAFF85D-C750-44C6-8520-EED992B12FA3Q50146366-B7A348C4-9098-4822-A942-1F570E3A66E7Q50547500-2163975D-F726-4B00-8146-2C364188798EQ51901223-E682B1AC-6D21-48ED-8CBC-306E323CCFA6Q52143972-060F4A4A-F575-47B5-A2E2-BD37B83E20CBQ56914013-D29E2779-762B-4D82-9693-C2FCE9100EF5Q57278386-DF7F3B82-6319-4C86-A20E-6E514B1AF50DQ61660063-F08DD79F-6BB2-4BAD-8AA4-EE3CAC00FE9DQ62924376-10A2B701-7FED-4DF1-8187-C238BBA1E52BQ62924380-8E43A1F4-0711-4D48-A798-53D134B285C2Q62924384-BF41CD9A-E57B-4B9E-AF32-C94C0169E6BBQ62924387-1221A1EF-AB77-4461-BEF0-102AD750DA29Q62924392-0BDFF669-ACB7-4731-A956-116B53FEC789
P50
description
hulumtues
@sq
onderzoeker
@nl
researcher
@en
հետազոտող
@hy
name
Pedro de Atauri
@ast
Pedro de Atauri
@en
Pedro de Atauri
@es
Pedro de Atauri
@nl
Pedro de Atauri
@sl
type
label
Pedro de Atauri
@ast
Pedro de Atauri
@en
Pedro de Atauri
@es
Pedro de Atauri
@nl
Pedro de Atauri
@sl
altLabel
Pedro Atauri
@en
Pedro Ramón de Atauri Carulla
@en
prefLabel
Pedro de Atauri
@ast
Pedro de Atauri
@en
Pedro de Atauri
@es
Pedro de Atauri
@nl
Pedro de Atauri
@sl
P106
P1153
6603151649
P21
P2456
P31
P496
0000-0002-7754-7851