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Stephan Menz
Observed name:
Menz, Stephan
Institutions:
Humboldt-Universität zu Berlin,
Berlin Institute of Health at Charité - Universitätsmedizin Berlin,
Freie Universität Berlin,
Charité – Universitätsmedizin Berlin
Observed institutions:
University of Potsdam,
Humboldt-Universität zu Berlin,
Berlin Institute of Health at Charité - Universitätsmedizin Berlin,
Bayer (Germany),
Freie Universität Berlin,
Charité – Universitätsmedizin Berlin
show all 6
OpenAlex ID:
A5114046178
Are Metformin Doses Used in Murine Cancer Models Clinically Relevant?
2016
·
Navdeep S. Chandel
, Dania Avizonis
, et al.
·
Cell Metabolism
·
176
Prediction of Oral Bioavailability in Rats: Transferring Insights from in Vitro Correlations to (Deep) Machine Learning Models Using in Silico Model Outputs and Chemical Structure Parameters
2019
·
Sebastian Schneckener
, Sergio Grimbs
, et al.
·
Journal of Chemical Information and Modeling
·
95
Binding Kinetics Survey of the Drugged Kinome
2018
·
Victoria Georgi
, Felix Schiele
, et al.
·
Journal of the American Chemical Society
·
86
Hybrid Stochastic--Deterministic Solution of the Chemical Master Equation
2012
·
Stephan Menz
, Juan C. Latorre
, et al.
·
Multiscale Modeling and Simulation
·
47
Drug-Class Specific Impact of Antivirals on the Reproductive Capacity of HIV
2010
·
Max von Kleist
, Stephan Menz
, et al.
·
PLoS Computational Biology
·
35
PDF
Prediction of Human Pharmacokinetics From Chemical Structure: Combining Mechanistic Modeling with Machine Learning
2023
·
Andrea Gruber
, Florian Führer
, et al.
·
Journal of Pharmaceutical Sciences
·
34
PDF
HIV Quasispecies Dynamics during Pro-Active Treatment Switching: Impact on Multi-Drug Resistance and Resistance Archiving in Latent Reservoirs
2011
·
Max von Kleist
, Stephan Menz
, et al.
·
PLoS ONE
·
33
PDF
BRD-810 is a highly selective MCL1 inhibitor with optimized in vivo clearance and robust efficacy in solid and hematological tumor models
2024
·
Ulrike Rauh
, Guo Wei
, et al.
·
Nature Cancer
·
29
PDF
Quantifying the degree of persistence in random amoeboid motion based on the Hurst exponent of fractional Brownian motion
2014
·
Natallia Makarava
, Stephan Menz
, et al.
·
Physical Review E
·
26
A deep neural network: mechanistic hybrid model to predict pharmacokinetics in rat
2024
·
Florian Führer
, Andrea Gruber
, et al.
·
Journal of Computer-Aided Molecular Design
·
24
PDF
Identification of the Highly Active, Species Cross-Reactive Complex I Inhibitor BAY-179
2022
·
Jeffrey Mowat
, Alexander H. M. Ehrmann
, et al.
·
ACS Medicinal Chemistry Letters
·
10
Patients with Allan‐Herndon‐Dudley Syndrome ( MCT8 Deficiency) Display Symptoms of Parkinsonism in Childhood and Respond to Levodopa/Carbidopa Treatment
2025
·
Nina‐Maria Wilpert
, Angela L. Hewitt
, et al.
·
Movement Disorders
·
6
sOAR: a tool for modelling optimal animal life‐history strategies in cyclic environments
2017
·
Merlin Schaefer
, Stephan Menz
, et al.
·
Ecography
·
4
Hybrid stochastic-deterministic approaches for simulation and analysis of biochemical reaction networks
2013
·
Menz, Stephan
·
Universitätsbibliothek der FU Berlin Hochschulschriftenstelle u. Dokumentenserver
·
4
PDF
Estimating HIV-1 Fitness Characteristics from Cross-Sectional Genotype Data
2014
·
Sathej Gopalakrishnan
, Hesam Montazeri
, et al.
·
PLoS Computational Biology
·
3
PDF
Abstract 1126: Differential effects of metformin and phenformin vs. other complex 1 inhibitors in vitro and in vivo
2015
·
Carolyn Algire
, Alexander Ehrmann
, et al.
·
Cancer Research
·
2
Abstract 506: ANJ810 is a highly selective novel MCL1 inhibitor with optimized in vivo clearance showing robust efficacy in preclinical solid and hematological tumor models
2023
·
Ulrike Rauh
, Guo Wei
, et al.
·
Cancer Research
·
1
Abstract 223: Comparison of human-specific versus cross-reactive Complex I inhibitor for in vivo tumor efficacy
2016
·
Sven Christian
, Carolyn Algire
, et al.
·
Cancer Research
·
1
Abstract 3248: Identification and optimization of a highly active, cross reactive Complex-1 inhibitor
2017
·
Jeffrey Mowat
, Sven Christian
, et al.
·
Cancer Research
Background Towards assessing therapy failure in HIV disease: estimating in vivo fitness characteristics of viral mutants by an integrated statistical-mechanistic approach
2009
·
Sathej Gopalakrishnan
, Hesam Montazeri
, et al.
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Works count:
20
Citation count:
616
H-index:
10
I10-index:
11
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