Publications de Daniel Robert Weilandt

Rational strain design with minimal phenotype perturbation

Ljubisa Miskovic, Vassily Hatzimanikatis, Daniel Robert Weilandt

Devising genetic interventions for desired cellular phenotypes remains challenging regarding time and resources. Kinetic models can accelerate this task by simulating metabolic responses to genetic perturbations. However, exhaustive design evaluations with ...

Nature Portfolio2024

Optimal enzyme utilization suggests that concentrations and thermodynamics determine binding mechanisms and enzyme saturations

Vassily Hatzimanikatis, Daniel Robert Weilandt, Asli Sahin

One of the main challenges hampering the development of kinetic models is the lack of kinetic parameters for many enzymatic reactions. Here, the authors introduce a framework to explore the catalytically optimal operating conditions of any complex enzyme m ...

Nature Portfolio2023

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

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

Modeling biochemical reaction networks in complex intracellular environments

Daniel Robert Weilandt

Whether one aims to design treatments for diseases such as cancer or diabetes, engineer cells to produce valuable biochemicals sustainably, or to grasp the behavior of living organisms, it is essential to understand how cells react to genetic, environmenta ...

EPFL2020

Particle-Based Simulation Reveals Macromolecular Crowding Effects on the Michaelis-Menten Mechanism

Vassily Hatzimanikatis, Daniel Robert Weilandt

Many computational models for analyzing and predicting cell physiology rely on in vitro data collected in dilute and controlled buffer solutions. However, this can mislead models because up to 40% of the intracellular volume-depending on the organism, the ...

2019

Single-molecule kinetic analysis of HP1-chromatin binding reveals a dynamic network of histone modification and DNA interactions

Vassily Hatzimanikatis, Louise Catherine Bryan, Georg Fantner, Pascal Damian Odermatt, Oliver Hantschel, Sandrine Madeleine Suzanne Georgeon, Beat Fierz, Sinan Kilic, Carolin Christine Lechner, Andreas Linus Bachmann, Daniel Robert Weilandt

Chromatin recruitment of effector proteins involved in gene regulation depends on multivalent interaction with histone post-translational modifications (PTMs) and structural features of the chromatin fiber. Due to the complex interactions involved, it is c ...

Oxford University Press (OUP)2017