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September 2022

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

Elisha M. Wood-Charlson, Zachary Crockett, Chris Erdmann, Adam P. Arkin, Carly B. Robinson

Education Articles

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Jake Lawlor, Francis Banville, Norma-Rocio Forero-Muñoz, Katherine Hébert, Juan Andrés Martínez-Lanfranco, Pierre Rogy, A. Andrew M. MacDonald

A simple kit to use computational notebooks for more openness, reproducibility, and productivity in research

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Research Articles

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Dynamical modeling of the H3K27 epigenetic landscape in mouse embryonic stem cells

Kapil Newar, Amith Zafal Abdulla, Hossein Salari, Eric Fanchon, Daniel Jost

Optimal anti-amyloid-beta therapy for Alzheimer’s disease via a personalized mathematical model

Wenrui Hao, Suzanne Lenhart, Jeffrey R. Petrella

A computational framework for modelling infectious disease policy based on age and household structure with applications to the COVID-19 pandemic

Joe Hilton, Heather Riley, Lorenzo Pellis, Rabia Aziza, Samuel P. C. Brand, Ivy K. Kombe, John Ojal, Andrea Parisi, Matt J. Keeling, D. James Nokes, Robert Manson-Sawko, Thomas House

What lies underneath: Precise classification of brain states using time-dependent topological structure of dynamics

Fernando Soler-Toscano, Javier A. Galadí, Anira Escrichs, Yonatan Sanz Perl, Ane López-González, Jacobo D. Sitt, Jitka Annen, Olivia Gosseries, Aurore Thibaut, Rajanikant Panda, Francisco J. Esteban, Steven Laureys, Morten L. Kringelbach, José A. Langa, Gustavo Deco

Multi-omics subtyping of hepatocellular carcinoma patients using a Bayesian network mixture model

Polina Suter, Eva Dazert, Jack Kuipers, Charlotte K. Y. Ng, Tuyana Boldanova, Michael N. Hall, Markus H. Heim, Niko Beerenwinkel

Probing the rules of cell coordination in live tissues by interpretable machine learning based on graph neural networks

Takaki Yamamoto, Katie Cockburn, Valentina Greco, Kyogo Kawaguchi

MouseNet: A biologically constrained convolutional neural network model for the mouse visual cortex

Jianghong Shi, Bryan Tripp, Eric Shea-Brown, Stefan Mihalas, Michael A. Buice

EpiBeds: Data informed modelling of the COVID-19 hospital burden in England

Christopher E. Overton, Lorenzo Pellis, Helena B. Stage, Francesca Scarabel, Joshua Burton, Christophe Fraser, Ian Hall, Thomas A. House, Chris Jewell, Anel Nurtay, Filippo Pagani, Katrina A. Lythgoe

A multi-label learning model for predicting drug-induced pathology in multi-organ based on toxicogenomics data

Ran Su, Haitang Yang, Leyi Wei, Siqi Chen, Quan Zou

Copper binding leads to increased dynamics in the regulatory N-terminal domain of full-length human copper transporter ATP7B

Fredrik Orädd, Jonas Hyld Steffen, Pontus Gourdon, Magnus Andersson

Comparing and linking machine learning and semi-mechanistic models for the predictability of endemic measles dynamics

Max S. Y. Lau, Alex Becker, Wyatt Madden, Lance A. Waller, C. Jessica E. Metcalf, Bryan T. Grenfell

Connectivity concepts in neuronal network modeling

Johanna Senk, Birgit Kriener, Mikael Djurfeldt, Nicole Voges, Han-Jia Jiang, Lisa Schüttler, Gabriele Gramelsberger, Markus Diesmann, Hans E. Plesser, Sacha J. van Albada

Constructing functional models from biophysically-detailed neurons

Peter Duggins, Chris Eliasmith

Stability criteria for the consumption and exchange of essential resources

Theo Gibbs, Yifan Zhang, Zachary R. Miller, James P. O’Dwyer

Investigating differential abundance methods in microbiome data: A benchmark study

Marco Cappellato, Giacomo Baruzzo, Barbara Di Camillo

Architect: A tool for aiding the reconstruction of high-quality metabolic models through improved enzyme annotation

Nirvana Nursimulu, Alan M. Moses, John Parkinson

ceRNAR: An R package for identification and analysis of ceRNA-miRNA triplets

Yi-Wen Hsiao, Lin Wang, Tzu-Pin Lu

Species abundance correlations carry limited information about microbial network interactions

Susanne Pinto, Elisa Benincà, Egbert H. van Nes, Marten Scheffer, Johannes A. Bogaards

Ambiguity drives higher-order Pavlovian learning

Tomislav D. Zbozinek, Omar D. Perez, Toby Wise, Michael Fanselow, Dean Mobbs

Patterns of asymmetry and energy cost generated from predictive simulations of hemiparetic gait

Russell T. Johnson, Nicholas A. Bianco, James M. Finley

The hierarchical organization of autocatalytic reaction networks and its relevance to the origin of life

Zhen Peng, Jeff Linderoth, David A. Baum

Utility of constraints reflecting system stability on analyses for biological models

Yoshiaki Kariya, Masashi Honma, Keita Tokuda, Akihiko Konagaya, Hiroshi Suzuki

A transcriptional cycling model recapitulates chromatin-dependent features of noisy inducible transcription

M. Elise Bullock, Nataly Moreno-Martinez, Kathryn Miller-Jensen

RNA velocity unraveled

Gennady Gorin, Meichen Fang, Tara Chari, Lior Pachter

PrMFTP: Multi-functional therapeutic peptides prediction based on multi-head self-attention mechanism and class weight optimization

Wenhui Yan, Wending Tang, Lihua Wang, Yannan Bin, Junfeng Xia

Thalamic regulation of frontal interactions in human cognitive flexibility

Ali Hummos, Bin A. Wang, Sabrina Drammis, Michael M. Halassa, Burkhard Pleger

A quantitative modelling approach for DNA repair on a population scale

Leo Zeitler, Cyril Denby Wilkes, Arach Goldar, Julie Soutourina

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