Noe Frank

Dikutip oleh

	Semua	Sejak 2020
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198 artikel

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Hao WuFree university of BerlinEmail yang diverifikasi di zedat.fu-berlin.de
Cecilia ClementiProfessor of Physics, Freie Universität BerlinEmail yang diverifikasi di fu-berlin.de
Jan-Hendrik PrinzMemorial Sloan Kettering Cancer CenterEmail yang diverifikasi di choderalab.org
John D. ChoderaMemorial Sloan-Kettering Cancer CenterEmail yang diverifikasi di mskcc.org
Simon OlssonChalmers University of TechnologyEmail yang diverifikasi di chalmers.se
Gianni De FabritiisComputational Science Laboratory, Icrea Research Professor, AcelleraEmail yang diverifikasi di upf.edu
Bettina G. KellerProfessor of Theoretical Chemistry, Freie Universität BerlinEmail yang diverifikasi di fu-berlin.de
Djork-Arné ClevertPfizer, VP, Machine Learning ResearchEmail yang diverifikasi di pfizer.com
Jonas KöhlerCuspAIEmail yang diverifikasi di cusp.ai
Andreas KrämerD. E. Shaw ResearchEmail yang diverifikasi di DEShawResearch.com
Johannes SchönebergUC San Diego School of MedicineEmail yang diverifikasi di schoeneberglab.org
Feliks NüskeMax Planck Institute for Dynamics of Complex Technical Systems, MagdeburgEmail yang diverifikasi di mpi-magdeburg.mpg.de
Volker HauckeProfessor für Molekulare PharmakologieEmail yang diverifikasi di fu-berlin.de
Robin WinterPfizerEmail yang diverifikasi di pfizer.com
Thomas WeiklGroup leader in the Department of Biomolecular Systems, Max Planck Institute of Colloids andEmail yang diverifikasi di mpikg.mpg.de
Jan HermannMicrosoft Research AI for ScienceEmail yang diverifikasi di microsoft.com
Vijay PandeAndreessen Horowitz, Stanford UniversityEmail yang diverifikasi di stanford.edu
Eric Vanden-EijndenCourant Institute of Mathematical Sciences NYUEmail yang diverifikasi di nyu.edu
Péter KoltaiProfessor of Mathematics, Universität BayreuthEmail yang diverifikasi di uni-bayreuth.de
Illia HorenkoProfessor of Mathematics, Technical University of KaiserslauternEmail yang diverifikasi di usi.ch

Ikuti

Noe Frank

Microsoft Research

Email yang diverifikasi di microsoft.com - Beranda

Machine Learning AI for Science Deep Learning Theoretical Biophysics Chemical Physics


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Markov models of molecular kinetics: Generation and validation JH Prinz, H Wu, M Sarich, B Keller, M Senne, M Held, JD Chodera, ... The Journal of chemical physics 134, 174105, 2011	1361	2011
Major histocompatibility complex (MHC) class I and MHC class II proteins: conformational plasticity in antigen presentation M Wieczorek, ET Abualrous, J Sticht, M Álvaro-Benito, S Stolzenberg, ... Frontiers in immunology 8, 292, 2017	1284	2017
PyEMMA 2: A software package for estimation, validation, and analysis of Markov models MK Scherer, B Trendelkamp-Schroer, F Paul, G Pérez-Hernández, ... Journal of chemical theory and computation 11 (11), 5525-5542, 2015	1118	2015
Identification of slow molecular order parameters for Markov model construction G Pérez-Hernández, F Paul, T Giorgino, G De Fabritiis, F Noé The Journal of chemical physics 139 (1), 2013	1042	2013
Constructing the equilibrium ensemble of folding pathways from short off-equilibrium simulations F Noé, C Schütte, E Vanden-Eijnden, L Reich, TR Weikl Proceedings of the National Academy of Sciences 106 (45), 19011, 2009	930	2009
Machine learning for molecular simulation F Noé, A Tkatchenko, KR Müller, C Clementi Annual review of physical chemistry 71 (1), 361-390, 2020	850	2020
Markov state models of biomolecular conformational dynamics JD Chodera, F Noé Current opinion in structural biology 25, 135-144, 2014	799	2014
Boltzmann generators: Sampling equilibrium states of many-body systems with deep learning F Noé, S Olsson, J Köhler, H Wu Science 365 (6457), eaaw1147, 2019	772	2019
VAMPnets for deep learning of molecular kinetics A Mardt, L Pasquali, H Wu, F Noé Nature communications 9 (1), 5, 2018	663	2018
An introduction to Markov state models and their application to long timescale molecular simulation GR Bowman, VS Pande, F Noé Springer Science & Business Media, 2013	637	2013
Deep-neural-network solution of the electronic Schrödinger equation J Hermann, Z Schätzle, F Noé Nature Chemistry 12 (10), 891-897, 2020	598	2020
Transition networks for modeling the kinetics of conformational change in macromolecules F Noé, S Fischer Current opinion in structural biology 18 (2), 154-162, 2008	538	2008
Learning continuous and data-driven molecular descriptors by translating equivalent chemical representations R Winter, F Montanari, F Noé, DA Clevert Chemical science 10 (6), 1692-1701, 2019	504	2019
Machine learning of coarse-grained molecular dynamics force fields J Wang, S Olsson, C Wehmeyer, A Pérez, NE Charron, G De Fabritiis, ... ACS central science 5 (5), 755-767, 2019	498	2019
Hierarchical analysis of conformational dynamics in biomolecules: Transition networks of metastable states F Noé, I Horenko, C Schütte, JC Smith The Journal of chemical physics 126, 155102, 2007	473	2007
Spatiotemporal control of endocytosis by phosphatidylinositol-3, 4-bisphosphate Y Posor, M Eichhorn-Gruenig, D Puchkov, J Schöneberg, A Ullrich, ... Nature 499 (7457), 233-237, 2013	468	2013
Time-lagged autoencoders: Deep learning of slow collective variables for molecular kinetics C Wehmeyer, F Noé The Journal of chemical physics 148 (24), 2018	437	2018
Protein conformational plasticity and complex ligand-binding kinetics explored by atomistic simulations and Markov models N Plattner, F Noé Nature communications 6 (1), 7653, 2015	432	2015
HTMD: high-throughput molecular dynamics for molecular discovery S Doerr, MJ Harvey, F Noé, G De Fabritiis Journal of chemical theory and computation 12 (4), 1845-1852, 2016	418	2016
Crystal structure of nucleotide-free dynamin K Faelber, Y Posor, S Gao, M Held, Y Roske, D Schulze, V Haucke, F Noé, ... Nature, 2011	373	2011

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