An integrative dynamic model of brain energy metabolism (Coultier et al 2009)
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Updated
Dec 23, 2023
An integrative dynamic model of brain energy metabolism (Coultier et al 2009)
Computations required for https://doi.org/10.1103/PhysRevE.97.020402 and additional work
The functional analysis of genes provides relevant information to understand cellular function. Further, the mapping of genetic interactions sheds light on how genes act in the emergence of cellular complexity. Here, we present the most extensive genetic interaction and morphological profiling screen in a metazoan cell to date. We profiled 680 0…
Rescue of plasticity by a computationally predicted protocol (Liu et al. 2013)
Ligand-Receptor Interaction map based on scRNA-seq and pathway enrichment
Computational modeling of gephyrin-dependent inhibitory transsynaptic signaling (Lupascu et al 2020)
Structure learning for protein signaling pathways
Model of a BDNF feedback loop (Zhang et al 2016)
Expression, biological and clinical relevance of the collagen pathway genes in prostate carcinoma
A kinetic model of dopamine- and calcium-dependent striatal synaptic plasticity (Nakano et al. 2010)
Code for analysis of single cell signaling network kinetics from flow cytometry (CyTOF) datasets
Code repository for the publication. Contains MATLAB codes and sequence data used for evolutionary analysis.
Modeling signaling networks in cancer
Converting SBGN encoded pathways to the SIF file format
Converting KGML encoded KEGG pathways to the SIF file format
Finding paths of interest in networks
(DRExM³L) Drug REpurposing using eXplainable Machine Learning and Mechanistic Models of signal transduction
PHOsphoproteomic dissecTiOn using Networks
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