Ohcanbohtosat - Kresten Lindorff‐Larsen

Aiddostahte ozu
  1. 1
    Mapping the Universe of RNA Tetraloop Folds

    Mapping the Universe of RNA Tetraloop Folds Dahkki Sandro Bottaro, Kresten Lindorff‐Larsen

    Almmustuhtton 2017
    Viečča ollesdeavstta Viečča ollesdeavstta
    Artigo
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  2. 2
    Refining conformational ensembles of flexible proteins against small-angle x-ray scattering data

    Refining conformational ensembles of flexible proteins against small-angle x-ray scattering data Dahkki Francesco Pesce, Kresten Lindorff‐Larsen

    Almmustuhtton 2021
    Viečča ollesdeavstta
    Artigo
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  3. 3
    Improved predictions of phase behaviour of intrinsically disordered proteins by tuning the interaction range

    Improved predictions of phase behaviour of intrinsically disordered proteins by tuning the interaction range Dahkki Giulio Tesei, Kresten Lindorff‐Larsen

    Almmustuhtton 2022
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    Artigo
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  4. 4
    Improved predictions of phase behaviour of intrinsically disordered proteins by tuning the interaction range

    Improved predictions of phase behaviour of intrinsically disordered proteins by tuning the interaction range Dahkki Giulio Tesei, Kresten Lindorff‐Larsen

    Almmustuhtton 2023
    Viečča ollesdeavstta
    Artigo
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  5. 5
    Similarity Measures for Protein Ensembles

    Similarity Measures for Protein Ensembles Dahkki Kresten Lindorff‐Larsen, Jesper Ferkinghoff‐Borg

    Almmustuhtton 2009
    Viečča ollesdeavstta Viečča ollesdeavstta
    Artigo
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  6. 6
    Surprisingly high stability of barley lipid transfer protein, LTP1, towards denaturant, heat and proteases

    Surprisingly high stability of barley lipid transfer protein, LTP1, towards denaturant, heat and proteases Dahkki Kresten Lindorff‐Larsen, Jakob R. Winther

    Almmustuhtton 2001
    Viečča ollesdeavstta Viečča ollesdeavstta
    Artigo
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  7. 7
    On the Potential of Machine Learning to Examine the Relationship Between Sequence, Structure, Dynamics and Function of Intrinsically Disordered Proteins

    On the Potential of Machine Learning to Examine the Relationship Between Sequence, Structure, Dynamics and Function of Intrinsically Disordered Proteins Dahkki Kresten Lindorff‐Larsen, Birthe B. Kragelund

    Almmustuhtton 2021
    Viečča ollesdeavstta
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  8. 8
    Conformational ensembles of intrinsically disordered proteins and flexible multidomain proteins

    Conformational ensembles of intrinsically disordered proteins and flexible multidomain proteins Dahkki F. Emil Thomasen, Kresten Lindorff‐Larsen

    Almmustuhtton 2022
    Viečča ollesdeavstta
    Revisão
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  9. 9
    Protein folding kinetics and thermodynamics from atomistic simulation

    Protein folding kinetics and thermodynamics from atomistic simulation Dahkki Stefano Piana, Kresten Lindorff‐Larsen, David Shaw

    Almmustuhtton 2012
    Viečča ollesdeavstta
    Artigo
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  10. 10
    Atomic-level description of ubiquitin folding

    Atomic-level description of ubiquitin folding Dahkki Stefano Piana, Kresten Lindorff‐Larsen, David Shaw

    Almmustuhtton 2013
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    Artigo
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  11. 11
    How Robust Are Protein Folding Simulations with Respect to Force Field Parameterization?

    How Robust Are Protein Folding Simulations with Respect to Force Field Parameterization? Dahkki Stefano Piana, Kresten Lindorff‐Larsen, David Shaw

    Almmustuhtton 2011
    Viečča ollesdeavstta Viečča ollesdeavstta
    Artigo
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  12. 12
    Atomistic Description of the Folding of a Dimeric Protein

    Atomistic Description of the Folding of a Dimeric Protein Dahkki Stefano Piana, Kresten Lindorff‐Larsen, David Shaw

    Almmustuhtton 2013
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    Artigo
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  13. 13
    Mapping transiently formed and sparsely populated conformations on a complex energy landscape

    Mapping transiently formed and sparsely populated conformations on a complex energy landscape Dahkki Yong Wang, Elena Papaleo, Kresten Lindorff‐Larsen

    Almmustuhtton 2016
    Viečča ollesdeavstta
    Artigo
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  14. 14
    Predicting absolute protein folding stability using generative models

    Predicting absolute protein folding stability using generative models Dahkki Matteo Cagiada, Sergey Ovchinnikov, Kresten Lindorff‐Larsen

    Almmustuhtton 2024
    Viečča ollesdeavstta
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  15. 15
    Decoding molecular mechanisms for loss of function variants in the human proteome

    Decoding molecular mechanisms for loss of function variants in the human proteome Dahkki Matteo Cagiada, Nicolas Jonsson, Kresten Lindorff‐Larsen

    Almmustuhtton 2024
    Viečča ollesdeavstta Viečča ollesdeavstta
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  16. 16
    Predicting absolute protein folding stability using generative models

    Predicting absolute protein folding stability using generative models Dahkki Matteo Cagiada, Sergey Ovchinnikov, Kresten Lindorff‐Larsen

    Almmustuhtton 2024
    Viečča ollesdeavstta
    Artigo
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  17. 17
    Combining Experiments and Simulations Using the Maximum Entropy Principle

    Combining Experiments and Simulations Using the Maximum Entropy Principle Dahkki Wouter Boomsma, Jesper Ferkinghoff‐Borg, Kresten Lindorff‐Larsen

    Almmustuhtton 2014
    Viečča ollesdeavstta Viečča ollesdeavstta
    Revisão
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  18. 18
    Understanding single‐pass transmembrane receptor signaling from a structural viewpoint—what are we missing?

    Understanding single‐pass transmembrane receptor signaling from a structural viewpoint—what are we missing? Dahkki Katrine Bugge, Kresten Lindorff‐Larsen, Birthe B. Kragelund

    Almmustuhtton 2016
    Viečča ollesdeavstta Viečča ollesdeavstta
    Revisão
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  19. 19
    Biomolecular conformational changes and ligand binding: from kinetics to thermodynamics

    Biomolecular conformational changes and ligand binding: from kinetics to thermodynamics Dahkki Yong Wang, João M. Martins, Kresten Lindorff‐Larsen

    Almmustuhtton 2017
    Viečča ollesdeavstta Viečča ollesdeavstta
    Artigo
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  20. 20
    How well do force fields capture the strength of salt bridges in proteins?

    How well do force fields capture the strength of salt bridges in proteins? Dahkki Mustapha Carab Ahmed, Elena Papaleo, Kresten Lindorff‐Larsen

    Almmustuhtton 2018
    Viečča ollesdeavstta Viečča ollesdeavstta
    Artigo
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