Sean L Seyler

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Oliver BecksteinCenter for Biological Physics, Department of Physics, Arizona State UniversityEmail verificata su asu.edu
Max LinkeEmail verificata su biophys.mpg.de
Sébastien BuchouxUniversité Picardie Jules VerneEmail verificata su u-picardie.fr
Ian Michael KenneyPostdoctoral Research Scholar, Arizona State UniversityEmail verificata su asu.edu
Jan DomańskiCharm TherapeuticsEmail verificata su charmtx.com
Richard J GowersOpen Molecular Software FoundationEmail verificata su omsf.io
Jonathan BarnoudCentro Singular de Investigación en Tecnoloxías Intelixentes (CiTIUS) Universidade de Santiago deEmail verificata su usc.es
Michael ThorpeFoundation Professor, Arizona State UniversityEmail verificata su asu.edu
Avishek KumarIntuit AIEmail verificata su asu.edu
Tyler ReddyStaff Scientist, Los Alamos National LaboratoryEmail verificata su lanl.gov
Manuel N. MeloITQB NOVAEmail verificata su itqb.unl.pt
Steve PresseASUEmail verificata su asu.edu
Nicolas CoudrayNYUEmail verificata su nyumc.org
Alexis RohouGenentechEmail verificata su gene.com
Mark DumontProfessor of Biophysics and Biochemistry, University of RochesterEmail verificata su urmc.rochester.edu
Charles E. SeylerProfessor Emeritus of Electrical and Computer Engineering, Cornell UniversityEmail verificata su cornell.edu
A K M Fazlul Karim RaselPhD candidate (Chemistry), School of Molecular Sciences, Arizona State UniversityEmail verificata su asu.edu
Mark HayesArizona State UniversityEmail verificata su asu.edu
Julian LeeSoongsil UniversityEmail verificata su ssu.ac.kr

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Sean L Seyler

School of Molecular Sciences, Arizona State University

Email verificata su asu.edu

Statistical Physics Fluid Physics Molecular Dynamics Computational Fluid Dynamics Computational Biophysics


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
MDAnalysis: a Python package for the rapid analysis of molecular dynamics simulations RJ Gowers, M Linke, J Barnoud, TJE Reddy, MN Melo, SL Seyler, ... Proceedings of the 15th Python in Science Conference, 98-105, 2016	1535	2016
Path similarity analysis: a method for quantifying macromolecular pathways SL Seyler, A Kumar, MF Thorpe, O Beckstein PLoS computational biology 11 (10), e1004568, 2015	75	2015
Sampling large conformational transitions: adenylate kinase as a testing ground SL Seyler, O Beckstein Molecular Simulation 40 (10-11), 855-877, 2014	51	2014
Structure of the SLC4 transporter Bor1p in an inward‐facing conformation N Coudray, SL Seyler, R Lasala, Z Zhang, KM Clark, ME Dumont, ... Protein Science 26 (1), 130-145, 2017	40	2017
Long-time persistence of hydrodynamic memory boosts microparticle transport SL Seyler, S Pressé Physical Review Research 1 (3), 032003(R), 2019	18	2019
Surmounting potential barriers: Hydrodynamic memory hedges against thermal fluctuations in particle transport SL Seyler, S Pressé The Journal of Chemical Physics 153 (4), 041102, 2020	10	2020
Molecular hydrodynamic theory of the velocity autocorrelation function SL Seyler, CE Seyler The Journal of Chemical Physics 159 (5), 054108, 2023	5	2023
Hydrodynamic interaction facilitates the unsteady transport of two neighboring vesicles J Lee, SL Seyler, S Pressé The Journal of Chemical Physics 151 (9), 094108, 2019	5	2019
A numerical study on microfluidic devices to maintain the concentration and purity of dielectrophoresis-induced separated fractions of analyte AKMFK Rasel, SL Seyler, MA Hayes Analytical and Bioanalytical Chemistry, 2023	4	2023
Swimming, fast and slow: strategy and survival of bacterial predators in response to chemical cues M Carlson, SL Seyler, S Pressé bioRxiv, 2020.11. 11.377200, 2020	4	2020
Computational Approaches to Simulation and Analysis of Large Conformational Transitions in Proteins SL Seyler Arizona State University, 2017	1	2017
Quantifying Macromolecular Conformational Transition Pathways O Beckstein, SL Seyler, A Kumar, MF Thorpe Biophysical Journal 108 (2), 13a, 2015	1	2015
Enhanced Green Fluorescent Protein Streaming Dielectrophoresis in Insulator-Based Microfluidic Devices J Sheu, SL Seyler, AKMFK Rasel, MA Hayes Electrophoresis, 2024		2024
Hydrodynamic memory and driven microparticle transport: hedging against fluctuating sources of energy S Seyler Bulletin of the American Physical Society 65, 2020		2020
Predation Strategies of Bdellovibrio bacteriovorus M Carlson, SL Seyler, S Pressé Biophysical Journal 118 (3), 127a, 2020		2020
Hydrodynamic Brownian motion and nanoscale transport efficiency in liquids SL Seyler, S Pressé APS March Meeting Abstracts 64 (2), 2019		2019
AdKGromacsTutorial Documentation S Seyler, O Beckstein		2018
Fluctuating Hydrodynamics in the 13-moment Approximation for Simulating Biomacromolecular Nanomachines SL Seyler, CE Seyler, O Beckstein APS March Meeting Abstracts 63 (1), 2018		2018
Simulating conformational transitions of the transmembrane symporter T Colburn, S Seyler, O Beckstein Annual Meeting of the APS Four Corners Section 61, 2016		2016
Quantitative comparison of macromolecular pathways O Beckstein, S Seyler, A Kumar, M Thorpe ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 251, 2016		2016

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