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Page 11 of 49

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Metabolic engineering with multi-objective optimization of kinetic models


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On the relationship between sloppiness and identifiability


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Using the cloud for parameter estimation problems: comparing spark vs MPI with a case-study


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Parameter identifiability analysis and visualization in large-scale kinetic models of biosystems


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Parameter estimation in large-scale systems biology models: A parallel and self-adaptive cooperative strategy


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Evaluation of parallel differential evolution implementations on MapReduce and spark


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Data-driven reverse engineering of signaling pathways using ensembles of dynamic models


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A parallel metaheuristic for large mixed-integer dynamic optimization problems, with applications in computational biology


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A cloud-based enhanced differential evolution algorithm for parameter estimation problems in computational systems biology


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Structural Properties of Dynamic Systems Biology Models: Identifiability, Reachability, and Initial Conditions


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Automated Design Framework for Synthetic Biology Exploiting Pareto Optimality


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Dynamical compensation and structural identifiability of biological models: Analysis, implications, and reconciliation


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Towards cloud-based parallel metaheuristics: A case study in computational biology with Differential Evolution and Spark


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Sufficiently Exciting Inputs for Structurally Identifiable Systems Biology Models


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Optimization-based prediction of fold bifurcations in nonlinear ODE models


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Multimethod optimization in the cloud: A case-study in systems biology modelling


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Multimethod optimization for reverse engineering of complex biological networks


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Mixed Integer Multiobjective Optimization Approaches for Systems and Synthetic Biology


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GenSSI 2.0: Multi-experiment structural identifiability analysis of SBML models


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Erratum: Optimality and identification of dynamic models in systems biology: an inverse optimal control framework (Bioinformatics (Oxford, England) (2018) 34 14 (2433-2440))


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Critical Assessment of Parameter Estimation Methods in Models of Biological Oscillators


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CanPathPro-development of a platform for predictive pathway modelling using genetically engineered mouse models


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Benchmarking optimization methods for parameter estimation in large kinetic models


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PREMER: A Tool to Infer Biological Networks


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Optimality and identification of dynamic models in systems biology: an inverse optimal control framework


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Parameter estimation in models of biological oscillators: An automated regularised estimation approach


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Multiobjective optimization of gene circuits for metabolic engineering


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Hybrid parallel multimethod hyperheuristic for mixed-integer dynamic optimization problems in computational systems biology


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Full observability and estimation of unknown inputs, states and parameters of nonlinear biological models


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A Comparison of Methods for Quantifying Prediction Uncertainty in Systems Biology


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Distilling Robust Design Principles of Biocircuits Using Mixed Integer Dynamic Optimization


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Input-Dependent Structural Identifiability of Nonlinear Systems


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Computational Methods Enabling Next-Generation Bioprocesses


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Spark implementation of the enhanced Scatter Search metaheuristic: Methodology and assessment


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A dual-parameter identification approach for data-based predictive modeling of hybrid gene regulatory network-growth kinetics in Pseudomonas putida mt-2


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Using optimal control to understand complex metabolic pathways


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Synthetic Gene Circuit Analysis and Optimization


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Structural identifiability and observability of compartmental models of the COVID-19 pandemic


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PEtab - Interoperable specification of parameter estimation problems in systems biology


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Editorial: Biological Control Systems and Disease Modeling


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Automated Biocircuit Design with SYNBADm


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AutoRepar: A method to obtain identifiable and observable reparameterizations of dynamic models with mechanistic insights


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A protocol for dynamic model calibration


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Editorial overview: ‘Mathematical modelling of high-throughput and high-content data’


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Automated design of synthetic biocircuits in the stochastic regime


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An efficient ant colony optimization framework for HPC environments


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OptDesign: Identifying Optimum Design Strategies in Strain Engineering for Biochemical Production


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Parallel ant colony optimization for the training of cell signaling networks


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Improving dynamic predictions with ensembles of observable models


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Global Optimization Approach for Parameter Estimation in Stochastic Dynamic Models of Biosystems


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Assessment of Prediction Uncertainty Quantification Methods in Systems Biology


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Optimal evaluation of energy yield and driving force in microbial metabolic pathway variants


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Distilling identifiable and interpretable dynamic models from biological data


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Automated Design of Synthetic Gene Circuits in the Presence of Molecular Noise


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IDESS: a toolbox for identification and automated design of stochastic gene circuits


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Reusable rule-based cell cycle model explains compartment-resolved dynamics of 16 observables in RPE-1 cells


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Improved cooperative Ant Colony Optimization for the solution of binary combinatorial optimization applications


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Population based metaheuristics in Spark: Towards a general framework using PSO as a case study


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Parameter estimation in a whole-brain network model of epilepsy: Comparison of parallel global optimization solvers


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Conformal prediction for uncertainty quantification in dynamic biological systems


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Mechanistic dynamic modelling of biological systems: The road ahead


project

Spatial crosstalk in immune-oncology HORIZON-MSCA-2024-DN-01-01


project

Exploring the significance of the pontine brain microenvironment in shaping pediatric glioma invasive properties


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Unraveling the microenvironmental niches driving pediatric glioma infiltration in the brain.


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Guiding personalized immunotherapy strategies through exploration of cellular dynamics in live imaging data

PID2023-146455OA-I00


project

Exploring tumor heterogeneity with morphocynetic analysis: tools for live imaging  

El mencionado proyecto se enmarca en el Programa Momentum cuya financiación procede del Mecanismo de...


project

Developing an organoid Dynamic Screening Platform to Evaluate Immuno-Oncology Drug activities in a Clinically Relevant Preclinical Model


project

PEJ_2023__CM23_IIBM_M1_13


project

DCODER: Unravelling cell Dynamics to deCODE tumor cell Resistance to immunotherapy

Core Funding


project

Deep Learning-based 3D Virtual Multiplexing to explore microenvironmental drivers of brain tumor progression


tool

BEHAV3D Tumor Profiler

BEHAV3D Tumor Profiler (BEHAV3D-TP) is a cloud-based computational platform designed to comprehensively map and analyze...


tool

MorphoTrack-merger

MorphoTrack-Merger is a Python-based tool designed to extract morphological features from segmented images and merge...


tool

BEHAVIORAL GUIDED TRANSCRIPTOMICS

Behavior-Guided Transcriptomics (BGT) is an extension of the BEHAV3D platform that links T cell live...


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Adult-Onset Hypothyroidism Enhances Fear Memory and Upregulates Mineralocorticoid and Glucocorticoid Receptors in the Amygdala


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Glioblastoma Therapy with Cytotoxic Mesenchymal Stromal Cells Optimized by Bioluminescence Imaging of Tumor and Therapeutic Cell Response


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911 Bioluminescence Imaging of Glioblastoma Therapy with Cytotoxic Human Mesenchymal Stroma Cells that Differentiate to Endothelial Lineage


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In Vivo Bioluminescence Imaging of Cell Differentiation in Biomaterials: A Platform for Scaffold Development


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Calcium phosphate glass improves angiogenesis capacity of poly(lactic acid) scaffolds and stimulates differentiation of adipose tissue-derived mesenchymal stromal cells to the endothelial lineage


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Endothelial Differentiation of Adipose Tissue-Derived Mesenchymal Stromal Cells in Glioma Tumors: Implications for Cell-Based Therapy


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Bioluminescence imaging of cardiomyogenic and vascular differentiation of cardiac and subcutaneous adipose tissue-derived progenitor cells in fibrin patches in a myocardium infarct model


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Imaging windows for long-term intravital imaging


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Fast-Proliferating Adipose Tissue Mesenchymal-Stromal-Like Cells for Therapy


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Abstract A84: Intravital microscopy reveals biopsy induced local wound-healing response


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OS06.3 Characterisation of human brain tumour initiating cells leading invasion


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ANGI-06. CHARACTERISATION OF INVASION OF HUMAN BRAIN TUMOUR INITIATING CELLS IN HUMAN GLIOBLASTOMA


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Preventing inflammation inhibits biopsy-mediated changes in tumor cell behavior


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Potential impact of invasive surgical procedures on primary tumor growth and metastasis


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Longitudinal Intravital Imaging of Brain Tumor Cell Behavior in Response to an Invasive Surgical Biopsy


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High-resolution 3D imaging of fixed and cleared organoids


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Intravital imaging of glioma border morphology reveals distinctive cellular dynamics and contribution to tumor cell invasion


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Invaders Exposed: Understanding and Targeting Tumor Cell Invasion in Diffuse Intrinsic Pontine Glioma


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Behavioral-transcriptomic landscape of engineered T cells targeting human cancer organoids


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Revealing the spatio-phenotypic patterning of cells in healthy and tumor tissues with mLSR-3D and STAPL-3D


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3D imaging for driving cancer discovery


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Uncovering the mode of action of engineered T cells in patient cancer organoids


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Neutrophils Promote Glioblastoma Tumor Cell Migration after Biopsy


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Multispectral confocal 3D imaging of intact healthy and tumor tissue using mLSR-3D


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BEHAV3D: an imaging and transcriptomics platform that unravels T cell antitumor activity


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Bridging live-cell imaging and next-generation cancer treatment


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BEHAV3D: a 3D live imaging platform for comprehensive analysis of engineered T cell behavior and tumor response


Page 11 of 49
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