Oliver Beckstein

Orcid: 0000-0003-1340-0831

According to our database1, Oliver Beckstein authored at least 20 papers between 2011 and 2021.

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Bibliography

2021
Precise force-field-based calculations of octanol-water partition coefficients for the SAMPL7 molecules.
J. Comput. Aided Mol. Des., 2021

MPI-parallel Molecular Dynamics Trajectory Analysis with the H5MD Format in the MDAnalysis Python Package.
Proceedings of the 20th Python in Science Conference 2021 (SciPy 2021), Virtual Conference, July 12, 2021

2020
Prediction of octanol-water partition coefficients for the SAMPL6-log P molecules using molecular dynamics simulations with OPLS-AA, AMBER and CHARMM force fields.
J. Comput. Aided Mol. Des., 2020

Parallel performance of molecular dynamics trajectory analysis.
Concurr. Comput. Pract. Exp., 2020

2019
Correction: Path Similarity Analysis: A Method for Quantifying Macromolecular Pathways.
PLoS Comput. Biol., 2019

PMDA - Parallel Molecular Dynamics Analysis.
Proceedings of the 18th Python in Science Conference 2019 (SciPy 2019), Austin, Texas, July 8, 2019

Learning Everywhere: Pervasive Machine Learning for Effective High-Performance Computation.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

2018
SAMPL6: calculation of macroscopic pK a values from ab initio quantum mechanical free energies.
J. Comput. Aided Mol. Des., 2018

Task-parallel Analysis of Molecular Dynamics Trajectories.
CoRR, 2018

Task-parallel Analysis of Molecular Dynamics Trajectories.
Proceedings of the 47th International Conference on Parallel Processing, 2018

2017
Ligandbook: an online repository for small and drug-like molecule force field parameters.
Bioinform., 2017

Parallel Analysis in MDAnalysis using the Dask Parallel Computing Library.
Proceedings of the 16th Python in Science Conference 2017, 2017

2016
Prediction of cyclohexane-water distribution coefficients for the SAMPL5 data set using molecular dynamics simulations with the OPLS-AA force field.
J. Comput. Aided Mol. Des., 2016

MDAnalysis: A Python Package for the Rapid Analysis of Molecular Dynamics Simulations.
Proceedings of the 15th Python in Science Conference 2016 (SciPy 2016), Austin, Texas, July 11, 2016

datreant: persistent, Pythonic trees for heterogeneous data.
Proceedings of the 15th Python in Science Conference 2016 (SciPy 2016), Austin, Texas, July 11, 2016

2015
Path Similarity Analysis: A Method for Quantifying Macromolecular Pathways.
PLoS Comput. Biol., 2015

2014
Prediction of hydration free energies for the SAMPL4 diverse set of compounds using molecular dynamics simulations with the OPLS-AA force field.
J. Comput. Aided Mol. Des., 2014

2012
Prediction of hydration free energies for aliphatic and aromatic chloro derivatives using molecular dynamics simulations with the OPLS-AA force field.
J. Comput. Aided Mol. Des., 2012

2011
Computing ensembles of transitions from stable states: Dynamic importance sampling.
J. Comput. Chem., 2011

MDAnalysis: A toolkit for the analysis of molecular dynamics simulations.
J. Comput. Chem., 2011


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