Benjamin D. Madej - Concepedia

Author

Benjamin D. Madej

University of Bergen

Also Known As

Benjamin D. Madej, Benjamin Madej, K.M. Merz

Publications

2.2K

Citations

H-Index

Concepts

All Affiliations

University of Bergen San Diego Supercomputer Center University of California San Diego Imperial College London Kensington Health

About

Benjamin D. Madej is an author at University of Bergen specializing in molecular dynamics, biophysics, and biochemistry.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Biochemistry	3	3	1.5K
2	Engineering	2	2	1.3K
3	Medicine	1	1	1.2K
4	Natural Sciences	1	1	204
5	Biomolecular Engineering	1	1	1.2K

Benjamin D. Madej

Publications

1.8K

Citations

H-Index

Page 1

	Year	Citations
Lipid14: The Amber Lipid Force Field Callum J. Dickson, Benjamin D. Madej, Åge A. Skjevik, Journal of Chemical Theory and Computation Proteinlipid InteractionEngineeringLipid MovementMolecular DynamicsMolecular Simulation	2014	1.2K
LIPID11: A Modular Framework for Lipid Simulations Using Amber Åge A. Skjevik, Benjamin D. Madej, Ross C. Walker, The Journal of Physical Chemistry B Gaff ParametersProteinlipid InteractionMolecular DynamicsBiochemistryNatural Sciences	2012	204
Accelerating Therapeutics for Opportunities in Medicine: A Paradigm Shift in Drug Discovery Izumi V. Hinkson, Benjamin D. Madej, Eric Stahlberg Frontiers in Pharmacology	2020	150
A Parameterization of Cholesterol for Mixed Lipid Bilayer Simulation within the Amber Lipid14 Force Field Benjamin D. Madej, Ian R. Gould, Ross C. Walker The Journal of Physical Chemistry B Proteinlipid InteractionEngineeringBiochemistryCholesterol ContentsCholesterol Parameters	2015	63
All-atom lipid bilayer self-assembly with the AMBER and CHARMM lipid force fields Åge A. Skjevik, Benjamin D. Madej, Callum J. Dickson, Chemical Communications	2015	61
Simulation of lipid bilayer self-assembly using all-atom lipid force fields Åge A. Skjevik, Benjamin D. Madej, Callum J. Dickson, Physical Chemistry Chemical Physics	2016	55
Predicting Volume of Distribution in Humans: Performance of In Silico Methods for a Large Set of Structurally Diverse Clinical Compounds Neha Murad, Kishore Kumar Pasikanti, Benjamin D. Madej, Drug Metabolism and Disposition	2020	52

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