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Budday, Dominik

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Budday, Dominik

Dr.-Ing.

Dominik Budday, Dr.-Ing.

Dominik Budday
Immerwahrstrasse 1
91058 Erlangen
Germany
  • Email: dominik.budday@fau.de

    2011 B.Sc., Bachelor in Mechanical Engineering, Karlsruhe Institute of Technology
    2014 M.Sc., Master in Mechanical Engineering, Karlsruhe Institute of Technology
    2014 -2018 Doctoral candidate, Institute of Applied Dynamics, Friedrich-Alexander-Universität Erlangen-Nürnberg
    2018 Dr.-Ing., PhD in Engineering, Institute of Applied Dynamics, Friedrich-Alexander-Universität Erlangen-Nürnberg
    2019 postdoc, Institute of Applied Dynamics, Friedrich-Alexander-Universität Erlangen-Nürnberg

theses

2019

  • Budday D.:
    High-Dimensional Robotics at the Nanoscale — Kino-Geometric Modeling of Proteins and Molecular Mechanisms (Dissertation, 2019)

2014

  • Budday D.:
    Driver behavior classification and warning strategies for stop controlled intersection approaches (Master thesis, 2014)

2011

  • Budday D.:
    Aufbau und Analyse eines passiven Modells für das räumliche Gehen (Bachelor thesis, 2011)

 

reviewed journal publications

2020

  • Kergaßner A., Burkhardt C., Lippold D., Kergaßner M., Pflug L., Budday D., Steinmann P., Budday S.:
    Memory-based meso-scale modeling of Covid-19
    In: Computational Mechanics (2020)
    ISSN: 0178-7675
    DOI: 10.1007/s00466-020-01883-5

2018

  • Budday D., Leyendecker S., van den Bedem H.:
    Kinematic Flexibility Analysis: Hydrogen Bonding Patterns Impart a Spatial Hierarchy of Protein Motion
    In: Journal of Chemical Information and Modeling 58 (2018), p. 2108-2122
    ISSN: 1549-9596
    DOI: 10.1021/acs.jcim.8b00267
    URL: https://pubs.acs.org/doi/abs/10.1021/acs.jcim.8b00267?journalCode=jcisd8
  • Fonseca R., Budday D., van den Bedem H.:
    Collision-free poisson motion planning in ultra high-dimensional molecular conformation spaces
    In: Journal of Computational Chemistry (2018)
    ISSN: 0192-8651
    DOI: 10.1002/jcc.25138

2017

  • Budday D., Fonseca R., Leyendecker S., van den Bedem H.:
    Frustration-guided motion planning reveals conformational transitions in proteins
    In: Proteins-Structure Function and Bioinformatics 85 (2017), p. 1795-1807
    ISSN: 0887-3585
    DOI: 10.1002/prot.25333
  • Héliou A., Budday D., Fonseca R., van den Bedem H.:
    Fast, clash-free RNA conformational morphing using molecular junctions
    In: Bioinformatics (2017)
    ISSN: 1367-4803
    DOI: 10.1093/bioinformatics/btx127

2015

  • Budday D., Leyendecker S., van den Bedem H.:
    Geometric analysis characterizes molecular rigidity in generic and non-generic protein configurations
    In: Journal of the Mechanics and Physics of Solids 83 (2015), p. 36-47
    ISSN: 0022-5096
    DOI: 10.1016/j.jmps.2015.06.006

 

conferences and proceedings

2019

  • Budday D., Leyendecker S., van den Bedem H.:
    Kino‐Geometric Modeling: Insights into Protein Molecular Mechanisms
    GAMM Annual Meeting (Vienna, 2019-02-18 - 2019-02-22)
    In: Proc. Appl. Math. Mech (PAMM) 2019
    DOI: 10.1002/pamm.201900448

2018

  • Budday D., Fonseca R., Héliou A., Leyendecker S., van den Bedem H.:
    Functional insights from kino-geometric modeling of macromolecules
    9 Workshop junger Nachwuchwissenschafler in der Mechanik (Zell am See, Austria, 2018-02-18 - 2018-02-22)
  • Budday D., Leyendecker S., van den Bedem H.:
    Bridging protein rigidity theory and normal modes using kino-geometric analysis
    GAMM Annual Meeting (Munich, 2018-03-19 - 2018-03-23)
    In: Proc. Appl. Math. Mech. (PAMM) 2018
    DOI: 10.1002/pamm.201800251
  • Budday D., Leyendecker S., van den Bedem H.:
    Bridging protein rigidity theory and normal modes using kino-geometric analysis with hierarchical constraint relaxation
    GAMM Annual Meeting (Munich, 2018-03-19 - 2018-03-23)
    In: Proc. Appl. Math. Mech. (PAMM) 2018
    DOI: 10.1002/pamm.201800251

2017

  • Budday D., Fonseca R., Héliou A., Leyendecker S., van den Bedem H.:
    Revealing molecular mechanisms with kino-geometric modeling macromolecules
    Presentation, Kortemme Lab at UCSF (San Francisco, California)

2016

  • Budday D., Fonseca R., Héliou A., Leyendecker S., van den Bedem H.:
    Navigating protein conformation spaces by kino-geometric sampling and modulating frustrated motions
    Annual Meeting of the German Biophysical Society (Erlangen, 2016-09-25 - 2016-09-28)
  • Budday D., Fonseca R., Leyendecker S., van den Bedem H.:
    Clash- and constraint guided motion planning reveals conformational transition pathways in proteins
    Poster (Santa Monica, California)
  • Budday D., Fonseca R., Leyendecker S., van den Bedem H.:
    Frustration-guided motion planning reveals conformational transitions in proteins
    3DSIG (Orlando, Florida, 2016-04-17 - 2016-04-21)
  • Budday D., Fonseca R., Leyendecker S., van den Bedem H.:
    Frustration-guided motion planning reveals conformational transitions in proteins
    Conference presentation (Durham, North Carolina)

2015

  • Budday D., Leyendecker S., van den Bedem H.:
    A geometric approach to characterize rigidity in proteins
    GAMM Annual Meeting (Lecce, 2015-03-23 - 2015-03-27)
    In: Proc. Appl. Math. Mech (PAMM) 2015
    DOI: 10.1002/pamm.201510035
  • Budday D., Leyendecker S., van den Bedem H.:
    A geometric approach to characterize rigidity of biomolecules
    EMI Conference, Stanford University (California, 2015-06-16 - 2015-06-19)
  • Budday D., Leyendecker S., van den Bedem H.:
    Protein conformational analysis using kino-geometric constraints

2014

  • Budday D., Leyendecker S., van den Bedem H.:
    Characterizing rigidity in biomolecules with geometric tools
    BaMBA 9 (California, 2014-11-22 - 2014-11-22)

2012

  • Bauer F., Seipel J., Budday D.:
    Stability and robustness of a 3D SLIP model for walking using lateral leg placement control
    ASME (Chicago, 2012-08-12 - 2012-08-12)
    In: Proceedings of the ASME 2012
    DOI: 10.1115/DETC2012-71154

 

further publications

 

  • Protein flexibility and conformational ensembles from kino-geometric modeling and sampling to motion planning

    (Own Funds)

    Term: 2014-06-01 - 2019-03-31
    Abstract

    Proteins are dynamic macromolecules that perform their biological functions by exchanging between different conformational substates on a broad range of spatial and temporal scales. As the underlying energy landscapes that govern these conformational changes are very rough and often contain high energy barriers, efficient, yet atomically detailed simulations to understand and predict biophysically relevant motions remain challenging.

    This project aims at providing functional insights into protein molecular mechanisms from simplified kinematic and geometric modeling. Guided by the covalent bond structure of the molecule, we construct kinematic multi-body systems with dihedral degrees of freedom and non-covalent interactions as constraints, which allows us to efficiently analyze conformational flexibility and deform the protein while maintaining secondary structure. Our analyses show convincing agreement with experimental data from various resources and more detailed Molecular Dynamics simulations, demonstrating the power of kino-geometric models for fast insights into protein flexibility and functional mechanisms, with broad implications for drug design and human health.

    →More information
Institute of Applied Dynamics
Friedrich-Alexander-Universität Erlangen-Nürnberg

Immerwahrstrasse 1
91058 Erlangen
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