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Vassily Hatzimanikatis

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Publications associées (124)

A NON-CD25-BINDING IL-2 VARIANT FOR THE EXPANSION OR ENGINEERING OF T CELLS THAT CONFER SUPERIOR TUMOR CONTROL

Vassily Hatzimanikatis, Maria Masid Barcon, Thomas Muller

Mary Ann Liebert, Inc2023

Dynamic partitioning of branched-chain amino acids-derived nitrogen supports renal cancer progression

Ming Yang, Vassily Hatzimanikatis, Maria Masid Barcon

Metabolic reprogramming is critical for tumor initiation and progression. However, the exact impact of specific metabolic changes on cancer progression is poorly understood. Here, we integrate multimodal analyses of primary and metastatic clonally-related ...

Nature Portfolio2022

Reconstructing Kinetic Models for Dynamical Studies of Metabolism using Generative Adversarial Networks

Ljubisa Miskovic, Vassily Hatzimanikatis, Pierre Guy Rémy Salvy, Daniel Robert Weilandt

Kinetic models of metabolism relate metabolic fluxes, metabolite concentrations and enzyme levels through mechanistic relations, rendering them essential for understanding, predicting and optimizing the behaviour of living organisms. However, due to the la ...

NATURE PORTFOLIO2022

ARBRE: Computational resource to predict pathways towards industrially important aromatic compounds

Vassily Hatzimanikatis, Anastasia Sveshnikova

Synthetic biology and metabolic engineering rely on computational search tools for predictions of novel biosynthetic pathways to industrially important compounds, many of which are derived from aromatic amino acids. Pathway search tools vary in their scope ...

2022

Symbolic kinetic models in python (SKiMpy): intuitive modeling of large-scale biological kinetic models

Vassily Hatzimanikatis, Georgios Fengos, Pierre Guy Rémy Salvy, Daniel Robert Weilandt, Zhaleh Hosseini, Maria Masid Barcon

Motivation: Large-scale kinetic models are an invaluable tool to understand the dynamic and adaptive responses of biological systems. The development and application of these models have been limited by the availability of computational tools to build and ...

OXFORD UNIV PRESS2022

Expanding biochemical knowledge and illuminating metabolic dark matter with ATLASx

Vassily Hatzimanikatis, Jasmin Maria Hafner, Victor Luc Etienne Viterbo, Anastasia Sveshnikova

Metabolic "dark matter" describes currently unknown metabolic processes, which form a blind spot in our general understanding of metabolism and slow down the development of biosynthetic cell factories and naturally derived pharmaceuticals. Mapping the dark ...

Nature Portfolio2022

Computational tools and resources for designing new pathways to small molecules

Vassily Hatzimanikatis, Anastasia Sveshnikova

The metabolic engineering community relies on computational methods for pathway design to produce important small molecules in microbial hosts. Metabolic network databases are continuously curated and updated with known and novel reactions that expand the ...

CURRENT BIOLOGY LTD2022

Supplementary datasets for "ARBRE: Computational resource to predict pathways towards industrially important aromatic compounds"

Vassily Hatzimanikatis, Homa Mohammadi Peyhani, Anastasia Sveshnikova

Supplementary datasets accompanying the manuscript "ARBRE: Computational resource to predict pathways towards industrially important aromatic compounds" published in the Metabolic Engineering Journal (https://doi.org/10.1016/j.ymben.2022.03.013). In line w ...

Zenodo2022

A workflow for annotating the knowledge gaps in metabolic reconstructions using known and hypothetical reactions

Vassily Hatzimanikatis, Noushin Hadadi, Jasmin Maria Hafner, Meriç Ataman, Anush Chiappino-Pepe, Homa Mohammadi Peyhani, Evangelia Vagena

Advances in medicine and biotechnology rely on a deep understanding of biological processes. Despite the increasingly available types and amounts of omics data, significant knowledge gaps remain, with current approaches to identify and curate missing annot ...

National Academy of Sciences2022

Editorial Overview: Mathematical modeling: It's a matter of scale

Vassily Hatzimanikatis, Stacey Deleria Finley

ELSEVIER2021

Quantitative modeling of human metabolism: A call for a community effort

Vassily Hatzimanikatis, Maria Masid Barcon

Metabolism is the process by which cells and organisms obtain nutrients and energy to perform their functions. In the last years, many human diseases, including cancer, diabetes, and cardiac diseases, have been associated with altered metabolism. Understan ...

2021

The solubility parameters of carbon dioxide and ionic liquids: Are they an enigma?

Vassily Hatzimanikatis

In a recent article entitled "Solubility Parameter of Carbon Dioxide-an Enigma"[1], Marcus reported the literature values for the solubility parameter of liquid carbon dioxide (CO2) at 298 K with discrepancies as large as 200%. An analogous article on ioni ...

ELSEVIER2021

Emergence of diauxie as an optimal growth strategy under resource allocation constraints in cellular metabolism

Vassily Hatzimanikatis, Pierre Guy Rémy Salvy

Diauxie, or the sequential consumption of carbohydrates in bacteria such as Escherichia coli, has been hypothesized to be an evolutionary strategy which allows the organism to maximize its instantaneous specific growth-giving the bacterium a competitive ad ...

National Academy of Sciences2021

NICEpath: Finding metabolic pathways in large networks through atom-conserving substrate-product pairs

Vassily Hatzimanikatis, Jasmin Maria Hafner

Motivation: Finding biosynthetic pathways is essential for metabolic engineering of organisms to produce chemicals, biodegradation prediction of pollutants and drugs, and for the elucidation of bioproduction pathways of secondary metabolites. A key step in ...

OXFORD UNIV PRESS2021

The effects of model complexity and size on metabolic flux distribution and control: case study in Escherichia coli

Vassily Hatzimanikatis, Georgios Fengos, Tuure Eelis Hameri

Background Significant efforts have been made in building large-scale kinetic models of cellular metabolism in the past two decades. However, most kinetic models published to date, remain focused around central carbon pathways or are built around ad hoc re ...

BMC2021

Spatio-temporal modeling of the crowding conditions and metabolic variability in microbial communities

Vassily Hatzimanikatis, Liliana Angeles Martinez

The metabolic capabilities of the species and the local environment shape the microbial interactions in a community either through the exchange of metabolic products or the competition for the resources. Cells are often arranged in close proximity to each ...

2021

The influence of the crowding assumptions in biofilm simulations

Vassily Hatzimanikatis, Liliana Angeles Martinez

Author summary In nature, many organisms grow in crowded biofilms that protect against stressful conditions, making their control/eradication a challenge. Modeling these microbial systems is a valuable tool for studying the interactions among cells and exp ...

2021

A computational workflow for the expansion of heterologous biosynthetic pathways to natural product derivatives

Vassily Hatzimanikatis, Jasmin Maria Hafner

Plant natural products (PNPs) and their derivatives are important but underexplored sources of pharmaceutical molecules. To access this untapped potential, the reconstitution of heterologous PNP biosynthesis pathways in engineered microbes provides a valua ...

Nature Research2021

NICEdrug.ch, a workflow for rational drug design and systems-level analysis of drug metabolism

Vassily Hatzimanikatis, Noushin Hadadi, Jasmin Maria Hafner, Anush Chiappino-Pepe, Homa Mohammadi Peyhani

The discovery of a drug requires over a decade of intensive research and financial investments – and still has a high risk of failure. To reduce this burden, we developed the NICEdrug.ch resource, which incorporates 250,000 bioactive molecules, and studied ...

2021

A genome-scale metabolic model of Saccharomyces cerevisiae that integrates expression constraints and reaction thermodynamics

Ljubisa Miskovic, Vassily Hatzimanikatis, Pierre Guy Rémy Salvy, Maria Masid Barcon, Mohammadomid Oftadeh

Eukaryotic organisms play an important role in industrial biotechnology, from the production of fuels and commodity chemicals to therapeutic proteins. To optimize these industrial systems, a mathematical approach can be used to integrate the description of ...

Nature Portfolio2021

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