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  Identification of Metastable States in Complex Type-N Glycans by Markov State Modeling.

Schulze, E., & Stein, M. (2017). Identification of Metastable States in Complex Type-N Glycans by Markov State Modeling. Poster presented at Machine Learning & Molecules, Copenhagen, Denmark.

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 Creators:
Schulze, Eric1, 2, Author           
Stein, Matthias1, Author           
Affiliations:
1Molecular Simulations and Design, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738148              
2International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738143              

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Language(s): eng - English
 Dates: 2017
 Publication Status: Not specified
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: -
 Degree: -

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Title: Machine Learning & Molecules
Place of Event: Copenhagen, Denmark
Start-/End Date: 2017-11-09 - 2017-11-10

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