Causal dynamical modelling predicts novel regulatory genes of FOXP3 in human regulatory T cellsSawlekar, Rucha ; Magni, Stefano ; et alE-print/Working paper (2020) Detailed reference viewed: 179 (5 UL) Systems medicine disease maps: community-driven comprehensive representation of disease mechanisms.; Ostaszewski, Marek ; et alin NPJ systems biology and applications (2018), 4 The development of computational approaches in systems biology has reached a state of maturity that allows their transition to systems medicine. Despite this progress, intuitive visualisation and context ... [more ▼] The development of computational approaches in systems biology has reached a state of maturity that allows their transition to systems medicine. Despite this progress, intuitive visualisation and context-dependent knowledge representation still present a major bottleneck. In this paper, we describe the Disease Maps Project, an effort towards a community-driven computationally readable comprehensive representation of disease mechanisms. We outline the key principles and the framework required for the success of this initiative, including use of best practices, standards and protocols. We apply a modular approach to ensure efficient sharing and reuse of resources for projects dedicated to specific diseases. Community-wide use of disease maps will accelerate the conduct of biomedical research and lead to new disease ontologies defined from mechanism-based disease endotypes rather than phenotypes. [less ▲] Detailed reference viewed: 276 (20 UL) A constraint-based modelling approach to metabolic dysfunction in Parkinson's diseaseMao, Longfei ; Nicolae, Averina ; Oliveira, Miguel et alin Computational and Structural Biotechnology Journal (2015), 13 Abstract One of the hallmarks of sporadic Parkinson's disease is degeneration of dopaminergic neurons in the pars compacta of the substantia nigra. The aetiopathogenesis of this degeneration is still not ... [more ▼] Abstract One of the hallmarks of sporadic Parkinson's disease is degeneration of dopaminergic neurons in the pars compacta of the substantia nigra. The aetiopathogenesis of this degeneration is still not fully understood, with dysfunction of many biochemical pathways in different subsystems suggested to be involved. Recent advances in constraint-based modelling approaches hold great potential to systematically examine the relative contribution of dysfunction in disparate pathways to dopaminergic neuronal degeneration, but few studies have employed these methods in Parkinson's disease research. Therefore, this review outlines a framework for future constraint-based modelling of dopaminergic neuronal metabolism to decipher the multi-factorial mechanisms underlying the neuronal pathology of Parkinson's disease. [less ▲] Detailed reference viewed: 339 (20 UL) |
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