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courses:courses [2021/02/16 09:16]
wade [Tutorials]
courses:courses [2021/04/27 16:47] (current)
nunes
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 {{:​projects:​mcm_logo.jpg}} {{:​projects:​mcm_logo.jpg}}
 ====== Teaching, Courses and Tutorials ====== ​ ====== Teaching, Courses and Tutorials ====== ​
-  * [[bioinfcourse:​bioinfcourse|B.Sc. bioinformatics course at Univ. Heidelberg]] (restricted) 
- 
  
-  * [[:courses:​hbigs:​hbigs|HBIGS graduate school courses]] (http://www.hbigs.uni-heidelberg.de/​, restricted) +  * [[http://www.hbigs.uni-heidelberg.de/​|HBIGS graduate school courses]] ​[[:​courses:​hbigs:​hbigs|further material ​(restricted)]] 
-  * [[:​courses:​physics:​graduate|Physics graduate ​school course]] (restricted) +  * [[https://hgsfp.uni-heidelberg.de/​|Physics graduate school]][[:​courses:​physics:​graduate| ​Summer ​school course]] (restricted) 
-  * [[:​courses:​mcm:​computation:​cmssbdd| ​HGSMathComp graduate school - Computational methods and strategies in structure-based drug design]] (restricted) +  * [[https://​www.mathcomp.uni-heidelberg.de/​| HGSMathComp graduate school]] ​[[:​courses:​mcm:​computation:​cmssbdd| Computational methods and strategies in structure-based drug design (restricted)]]  
-  * [[:​courses:​hgs:​ratetheories|HGSMathComp graduate school - Reaction rate theories and computational methods]] (restricted) ​by Prof. Dr. Huan-Xiang Zhou at HGS Mathcomp +  * [[https://​www.mathcomp.uni-heidelberg.de/​|HGSMathComp graduate school]] ​[[:​courses:​hgs:​ratetheories|HGSMathComp graduate school - Reaction rate theories and computational methods ​given by Prof. Dr. Huan-Xiang Zhou at HGS Mathcomp ​(restricted)]] ​  
-  * [[:courses:​molbiophys:​computation|M.Sc. Computational Molecular Biophysics]] Lecture and Practical (restricted) +  
-  * [[:courses:​mcm:​ml ​|M.Sc. Machine Learning for the Molecular/​Biomolecular World]] Seminar (restricted)+  * [[https://​www.h-its.org/​teachings/​2019-molecular-biophysics/ ​|M.Sc. Computational Molecular Biophysics]] Lecture and Practical ​[[:​courses:​molbiophys:​computation|Further material ​(restricted)]] 
 +  * [[https://​www.h-its.org/​teachings/​ss-2021-machine-learning-for-the-biomolecular-world/ ​|M.Sc. Machine Learning for the Molecular/​Biomolecular World]] Seminar ​[[:​courses:​mcm:​ml |Further material ​(restricted)]]
   * [[:​courses:​mcm:​mcb:​|M.Sc. Molecular and Cellular Biology]] (restricted)   * [[:​courses:​mcm:​mcb:​|M.Sc. Molecular and Cellular Biology]] (restricted)
   * [[:​courses:​mcm:​biochem:​|M.Sc. Biochemistry]] (restricted)   * [[:​courses:​mcm:​biochem:​|M.Sc. Biochemistry]] (restricted)
   * [[:​courses:​mcm:​mobi:​|B.Sc. and M.Sc. Molecular Biotechnology]] (restricted)   * [[:​courses:​mcm:​mobi:​|B.Sc. and M.Sc. Molecular Biotechnology]] (restricted)
-  * [[:​courses:​mcm:​structuredynamics:​|B.Sc. Structure and Dynamics of biological macromolecules]] (restricted)+  * [[:​courses:​mcm:​structuredynamics:​|B.Sc. Structure and Dynamics of Biological Macromolecules]] (restricted) 
 +  * [[bioinfcourse:​bioinfcourse|B.Sc. bioinformatics course at Univ. Heidelberg]] (restricted)
    
   * [[:​courses:​mcm:​euroneurotrophin:​| Euroneurotrophin course]] (restricted)   * [[:​courses:​mcm:​euroneurotrophin:​| Euroneurotrophin course]] (restricted)
 +
 ====== Workshops and Conferences ====== ====== Workshops and Conferences ======
-Please find a list of workshops and conferences [[conferences:​conferences|here]]+Please find a list of workshops and conferences ​organized by the MCM group [[conferences:​conferences|here]]
  
 +
 +Conference presentations and lectures by MCM group members available online:
 +
 +  ? [[ https://​www.youtube.com/​watch?​v=zpa8kSqQBac&​list=PLmmuclhRK8_AkR3cGpFNy5ndAtnBWrxvJ&​index=4 |Exploring ligand unbinding kinetics using random acceleration molecular dynamics: what can we learn?]]
 +  : Daria Kokh, [[http://​www.alchemistry.org/​wiki/​2020_Workshop_on_Free_Energy_Methods_in_Drug_Design | 2020 Workshop on Free Energy Methods in Drug Design]], November 12-14, 2020  ​
 +  ? [[ https://​www.youtube.com/​watch?​v=QFbxeovFRtg&​t=101s |Computational Approaches to Protein Dynamics and Binding Kinetics for Drug Discovery]]
 +  : Rebecca Wade, [[https://​www.mgms.org/​WordPress/​lecture-tour/​ | Molecular Graphics and Modelling Society (MGMS) Lecture Tour Lecture]], November 24, 2020  ​
 +  ? [[ https://​www.youtube.com/​watch?​v=X6lh_Sj-tHY |Ligand unbinding mechanisms and kinetics for T4 lysozyme mutants]]
 +  : Ariane Nunes Alves, [[https://​www.theochemmerida.org/​redlatfqt | Webinar - Red Latinoamericana de Fisicoquímica Teórica (RedLatFQT)]],​ February 3, 2021
  
 ====== Tutorials ====== ====== Tutorials ======
  
 +  ?​[[courses:​public:​vmd]]
 +  : VMD tutorial
   ?​[[http://​projects.h-its.org/​mcm/​projects/​uppsala/​|COMBINE]]   ?​[[http://​projects.h-its.org/​mcm/​projects/​uppsala/​|COMBINE]]
   : COMBINE analysis to derive protein structure-based QSARs (June 3-4, 2002)   : COMBINE analysis to derive protein structure-based QSARs (June 3-4, 2002)
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   ? [[http://​projects.h-its.org/​mcm/​projects/​uppsala|3DFS]]   ? [[http://​projects.h-its.org/​mcm/​projects/​uppsala|3DFS]]
   :3DFS to do a flexible ligand pharmacophore search (June 3-4, 2002)   :3DFS to do a flexible ligand pharmacophore search (June 3-4, 2002)
-  ?​[[courses:​public:​vmd]] 
-  :VMD tutorial 
   ? [[https://​github.com/​westpa/​westpa/​wiki/​2020-MolSSI-School-on-Open-Source-Software-in-Rare-Event-Path-Sampling-Strategies|tau-RAMD]]   ? [[https://​github.com/​westpa/​westpa/​wiki/​2020-MolSSI-School-on-Open-Source-Software-in-Rare-Event-Path-Sampling-Strategies|tau-RAMD]]
-  : tau-RAMD tutorial: Fast estimation of drug residence times (2020 MolSSI School on “Open Source Software for Rare Event Sampling Strategies”,​ July 15, 2000)+  : tau-RAMD tutorial: Fast estimation of drug residence times (Daria Kokh & Rebecca Wade, 2020 MolSSI School on “Open Source Software for Rare Event Sampling Strategies”,​ July 15, 2020) 
 +  ? [[https://​www.youtube.com/​watch?​v=9WarUhvNpGg&​t=162s|RASPD+]] 
 +  : RASPD+ tutorial: Fast protein-ligand binding free energy prediction using machine learning and its applications to SARS-CoV-2 targets (including introduction to machine learning methods) (Goutam Mukherjee, Drug Discovery Hackathon 2020 workshop”,​ August 18, 2020)
   ​   ​
   ​   ​
  
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