Modelling the molecular mechanisms of aging

MT Mc Auley, AM Guimera, D Hodgson… - Bioscience …, 2017 - portlandpress.com
The aging process is driven at the cellular level by random molecular damage that slowly
accumulates with age. Although cells possess mechanisms to repair or remove damage …

BioModels—15 years of sharing computational models in life science

RS Malik-Sheriff, M Glont, TVN Nguyen… - Nucleic acids …, 2020 - academic.oup.com
Computational modelling has become increasingly common in life science research. To
provide a platform to support universal sharing, easy accessibility and model reproducibility …

PhysiCell: An open source physics-based cell simulator for 3-D multicellular systems

A Ghaffarizadeh, R Heiland, SH Friedman… - PLoS computational …, 2018 - journals.plos.org
Many multicellular systems problems can only be understood by studying how cells move,
grow, divide, interact, and die. Tissue-scale dynamics emerge from systems of many …

Best practices for making reproducible biochemical models

VL Porubsky, AP Goldberg, AK Rampadarath… - Cell systems, 2020 - cell.com
Like many scientific disciplines, dynamical biochemical modeling is hindered by
irreproducible results. This limits the utility of biochemical models by making them difficult to …

Tellurium: an extensible python-based modeling environment for systems and synthetic biology

K Choi, JK Medley, M König, K Stocking, L Smith, S Gu… - Biosystems, 2018 - Elsevier
Here we present Tellurium, a Python-based environment for model building, simulation, and
analysis that facilitates reproducibility of models in systems and synthetic biology. Tellurium …

[HTML][HTML] Machine learning predicts the yeast metabolome from the quantitative proteome of kinase knockouts

A Zelezniak, J Vowinckel, F Capuano, CB Messner… - Cell systems, 2018 - cell.com
A challenge in solving the genotype-to-phenotype relationship is to predict a cell's
metabolome, believed to correlate poorly with gene expression. Using comparative …

Benchmarking of numerical integration methods for ODE models of biological systems

P Städter, Y Schälte, L Schmiester, J Hasenauer… - Scientific reports, 2021 - nature.com
Ordinary differential equation (ODE) models are a key tool to understand complex
mechanisms in systems biology. These models are studied using various approaches …

Iterative community-driven development of a SARS-CoV-2 tissue simulator

M Getz, Y Wang, G An, M Asthana, A Becker… - BioRxiv, 2020 - biorxiv.org
The 2019 novel coronavirus, SARS-CoV-2, is an emerging pathogen of critical significance
to international public health. Knowledge of the interplay between molecular-scale virus …

libRoadRunner 2.0: a high performance SBML simulation and analysis library

C Welsh, J Xu, L Smith, M König, K Choi… - …, 2023 - academic.oup.com
Motivation This article presents libRoadRunner 2.0, an extensible, high-performance, cross-
platform, open-source software library for the simulation and analysis of models expressed …

Learning-accelerated discovery of immune-tumour interactions

J Ozik, N Collier, R Heiland, G An… - Molecular systems design …, 2019 - pubs.rsc.org
We present an integrated framework for enabling dynamic exploration of design spaces for
cancer immunotherapies with detailed dynamical simulation models on high-performance …