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Michael Jacob Bakker
Michael Jacob Bakker
在 faf.cuni.cz 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Exploring the Role of Globular Domain Locations on an Intrinsically Disordered Region of p53: A Molecular Dynamics Investigation
MJ Bakker, HV Sørensen, M Skepö
Journal of Chemical Theory and Computation, 2024
62024
3D printed NMR spectra: From 1D and 2D acquisition to 3D visualization
M Bakker, B Boyd, GA Meints
Concepts in Magnetic Resonance Part A 47 (1), e21470, 2018
52018
Improving IDP theoretical chemical shift accuracy and efficiency through a combined MD/ADMA/DFT and machine learning approach
MJ Bakker, A Mládek, H Semrád, V Zapletal, JP Přecechtělová
Physical Chemistry Chemical Physics 24 (45), 27678-27692, 2022
32022
Exploring the Functional Landscape of the p53 Regulatory Domain: The Stabilizing Role of Post-Translational Modifications
MJ Bakker, O Svensson, HV So̷rensen, M Skepö
Journal of Chemical Theory and Computation 20 (14), 5842-5853, 2024
22024
Improving biodiesel through pyrolysis: Direct dynamics investigations into thermal decomposition of methyl linoleate
M Bakker
22020
Streamlining NMR Chemical Shift Predictions for Intrinsically Disordered Proteins: Design of Ensembles with Dimensionality Reduction and Clustering
MJ Bakker, A Gaffour, M Juhás, V Zapletal, J Stošek, LA Bratholm, ...
Journal of Chemical Information and Modeling 64 (16), 6542-6556, 2024
2024
Deeper Insight of the Conformational Ensemble of Intrinsically Disordered Proteins
O Svensson, MJ Bakker, M Skepö
Journal of Chemical Information and Modeling 64 (15), 6105-6114, 2024
2024
Atomistic Details of Methyl Linoleate Pyrolysis: Direct Molecular Dynamics Simulation of Converting Biodiesel to Petroleum Products
MJ Bakker, MR Siebert
Energies 17 (10), 2433, 2024
2024
Pyrolysis of biodiesel: Density functional theory investigations into thermal decomposition of methyl linoleate
M Bakker, M Siebert
ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 257, 2019
2019
5th Users' Conference of IT4Innovations
AT AlAsqalani, A Dujović, A Kolcun, A Gaffour, AP Kądzielawa, ...
Supporting Information: Improving IDP Theoretical Chemical Shift Accuracy and Efficiency Through a Combined MD/ADMA/DFT and Machine Learning Approach
MJ Bakker, A Mládek, H Semrád, V Zapletal, JP Přecechtělová
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