Towards kinetic modeling of genome‐scale metabolic networks without sacrificing stoichiometric, thermodynamic and physiological constraints

A Chakrabarti, L Miskovic, KC Soh… - Biotechnology …, 2013 - Wiley Online Library
Mathematical modeling is an essential tool for the comprehensive understanding of cell
metabolism and its interactions with the environmental and process conditions. Recent …

Multiscale models of breast cancer progression

A Chakrabarti, S Verbridge, AD Stroock… - Annals of biomedical …, 2012 - Springer
Breast cancer initiation, invasion and metastasis span multiple length and time scales.
Molecular events at short length scales lead to an initial tumorigenic population, which left …

Identification of metabolic engineering targets for the enhancement of 1, 4-butanediol production in recombinant E. coli using large-scale kinetic models

S Andreozzi, A Chakrabarti, KC Soh, A Burgard… - Metabolic …, 2016 - Elsevier
Rational metabolic engineering methods are increasingly employed in designing the
commercially viable processes for the production of chemicals relevant to pharmaceutical …

A comparative review of computational methods for pathway perturbation analysis: dynamical and topological perspectives

Q Vanhaelen, AM Aliper, A Zhavoronkov - Molecular BioSystems, 2017 - pubs.rsc.org
Stem cells offer great promise within the field of regenerative medicine but despite
encouraging results, the large scale use of stem cells for therapeutic applications still faces …

Understanding cancer mechanisms through network dynamics

TMK Cheng, S Gulati, R Agius… - Briefings in functional …, 2012 - academic.oup.com
Cancer is a complex, multifaceted disease. Cellular systems are perturbed both during the
onset and development of cancer, and the behavioural change of tumour cells usually …

Insulin signaling in insulin resistance states and cancer: a modeling analysis

A Bertuzzi, F Conte, G Mingrone, F Papa, S Salinari… - PloS one, 2016 - journals.plos.org
Insulin resistance is the common denominator of several diseases including type 2 diabetes
and cancer, and investigating the mechanisms responsible for insulin signaling impairment …

Population heterogeneity in the epithelial to mesenchymal transition is controlled by NFAT and phosphorylated Sp1

R Gould, DM Bassen, A Chakrabarti… - PLoS Computational …, 2016 - journals.plos.org
Epithelial to mesenchymal transition (EMT) is an essential differentiation program during
tissue morphogenesis and remodeling. EMT is induced by soluble transforming growth …

Dynamic modeling of cell-free biochemical networks using effective kinetic models

JA Wayman, A Sagar, JD Varner - Processes, 2015 - mdpi.com
Cell-free systems offer many advantages for the study, manipulation and modeling of
metabolism compared to in vivo processes. Many of the challenges confronting genome …

Approaches to modeling gene regulatory networks: A gentle introduction

T Schlitt - In Silico Systems Biology, 2013 - Springer
This chapter is split into two main sections; first, I will present an introduction to gene
networks. Second, I will discuss various approaches to gene network modeling which will …

Building patient‐specific models for receptor tyrosine kinase signaling networks

K Ebata, S Yamashiro, K Iida, M Okada - The FEBS Journal, 2022 - Wiley Online Library
Cancer progresses due to changes in the dynamic interactions of multidimensional factors
associated with gene mutations. Cancer research has actively adopted computational …