Today, there is great interest in diets proposing new macronutrient compositions and fasting schedules. Unfortunately, there is little consensus regarding the impact these new diets have on our metabolism. We lack an approach for integrating partial insights derived from different clinical studies with different measured variables - in different situations and on different populations – into a useful and interconnected big picture. Herein, we present such an integrating tool: a multi-organ and multi-timescale ODE model of human metabolism. This tool predicts both mean human metabolism responses to meals and fasting schedules, and is capable of making person-specific predictions. Silfvergren et al
Image Credit: Christian Simonsson, Linköping University, Sweden.
Editorial
Ten simple rules for getting and giving credit for data
PLOS Computational Biology: published September 29, 2022 | https://doi.org/10.1371/journal.pcbi.1010476
Education Articles
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PLOS Computational Biology: published September 1, 2022 | https://doi.org/10.1371/journal.pcbi.1010372
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Research Articles
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Dynamical modeling of the H3K27 epigenetic landscape in mouse embryonic stem cells
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Optimal anti-amyloid-beta therapy for Alzheimer’s disease via a personalized mathematical model
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Role of the reaction-structure coupling in temperature compensation of the KaiABC circadian rhythm
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Identifying enhancer properties associated with genetic risk for complex traits using regulome-wide association studies
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Connectivity concepts in neuronal network modeling
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Stability criteria for the consumption and exchange of essential resources
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Architect: A tool for aiding the reconstruction of high-quality metabolic models through improved enzyme annotation
PLOS Computational Biology: published September 8, 2022 | https://doi.org/10.1371/journal.pcbi.1010452
Quantitative prediction of ensemble dynamics, shapes and contact propensities of intrinsically disordered proteins
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ceRNAR: An R package for identification and analysis of ceRNA-miRNA triplets
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The hierarchical organization of autocatalytic reaction networks and its relevance to the origin of life
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Utility of constraints reflecting system stability on analyses for biological models
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A transcriptional cycling model recapitulates chromatin-dependent features of noisy inducible transcription
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PrMFTP: Multi-functional therapeutic peptides prediction based on multi-head self-attention mechanism and class weight optimization
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Thalamic regulation of frontal interactions in human cognitive flexibility
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Rhythmicity is linked to expression cost at the protein level but to expression precision at the mRNA level
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A quantitative modelling approach for DNA repair on a population scale
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Correction
Correction: MaxHiC: A robust background correction model to identify biologically relevant chromatin interactions in Hi-C and capture Hi-C experiments
PLOS Computational Biology: published September 9, 2022 | https://doi.org/10.1371/journal.pcbi.1010515