These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

191 related articles for article (PubMed ID: 36402768)

  • 1. Deep learning to decompose macromolecules into independent Markovian domains.
    Mardt A; Hempel T; Clementi C; Noé F
    Nat Commun; 2022 Nov; 13(1):7101. PubMed ID: 36402768
    [TBL] [Abstract][Full Text] [Related]  

  • 2. VAMPnets for deep learning of molecular kinetics.
    Mardt A; Pasquali L; Wu H; Noé F
    Nat Commun; 2018 Jan; 9(1):5. PubMed ID: 29295994
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Independent Markov decomposition: Toward modeling kinetics of biomolecular complexes.
    Hempel T; Del Razo MJ; Lee CT; Taylor BC; Amaro RE; Noé F
    Proc Natl Acad Sci U S A; 2021 Aug; 118(31):. PubMed ID: 34321356
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Automatic discovery of metastable states for the construction of Markov models of macromolecular conformational dynamics.
    Chodera JD; Singhal N; Pande VS; Dill KA; Swope WC
    J Chem Phys; 2007 Apr; 126(15):155101. PubMed ID: 17461665
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Markov field models: Scaling molecular kinetics approaches to large molecular machines.
    Hempel T; Olsson S; Noé F
    Curr Opin Struct Biol; 2022 Dec; 77():102458. PubMed ID: 36162297
    [TBL] [Abstract][Full Text] [Related]  

  • 6. RPnet: a reverse-projection-based neural network for coarse-graining metastable conformational states for protein dynamics.
    Gu H; Wang W; Cao S; Unarta IC; Yao Y; Sheong FK; Huang X
    Phys Chem Chem Phys; 2022 Jan; 24(3):1462-1474. PubMed ID: 34985469
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Information Bottleneck Approach for Markov Model Construction.
    Wang D; Qiu Y; Beyerle ER; Huang X; Tiwary P
    J Chem Theory Comput; 2024 Jun; 20(12):5352-5367. PubMed ID: 38859575
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Bayesian method for construction of Markov models to describe dynamics on various time-scales.
    Rains EK; Andersen HC
    J Chem Phys; 2010 Oct; 133(14):144113. PubMed ID: 20949993
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Macromolecular crowding: chemistry and physics meet biology (Ascona, Switzerland, 10-14 June 2012).
    Foffi G; Pastore A; Piazza F; Temussi PA
    Phys Biol; 2013 Aug; 10(4):040301. PubMed ID: 23912807
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Tutorial on how to build non-Markovian dynamic models from molecular dynamics simulations for studying protein conformational changes.
    Wu Y; Cao S; Qiu Y; Huang X
    J Chem Phys; 2024 Mar; 160(12):. PubMed ID: 38516972
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Markov models of molecular kinetics: generation and validation.
    Prinz JH; Wu H; Sarich M; Keller B; Senne M; Held M; Chodera JD; Schütte C; Noé F
    J Chem Phys; 2011 May; 134(17):174105. PubMed ID: 21548671
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Error analysis and efficient sampling in Markovian state models for molecular dynamics.
    Singhal N; Pande VS
    J Chem Phys; 2005 Nov; 123(20):204909. PubMed ID: 16351319
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Data-driven construction of stochastic reduced dynamics encoded with non-Markovian features.
    She Z; Ge P; Lei H
    J Chem Phys; 2023 Jan; 158(3):034102. PubMed ID: 36681628
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Long-time methods for molecular dynamics simulations: Markov State Models and Milestoning.
    Narayan B; Yuan Y; Fathizadeh A; Elber R; Buchete NV
    Prog Mol Biol Transl Sci; 2020; 170():215-237. PubMed ID: 32145946
    [TBL] [Abstract][Full Text] [Related]  

  • 15. GraphVAMPNet, using graph neural networks and variational approach to Markov processes for dynamical modeling of biomolecules.
    Ghorbani M; Prasad S; Klauda JB; Brooks BR
    J Chem Phys; 2022 May; 156(18):184103. PubMed ID: 35568532
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Generalized non-Markovian optical Bloch equations.
    Budini AA
    J Chem Phys; 2007 Feb; 126(5):054101. PubMed ID: 17302468
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Markov State Models to Study the Functional Dynamics of Proteins in the Wake of Machine Learning.
    Konovalov KA; Unarta IC; Cao S; Goonetilleke EC; Huang X
    JACS Au; 2021 Sep; 1(9):1330-1341. PubMed ID: 34604842
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Perturbation-based Markovian Transmission Model for macromolecular machinery in cell.
    Lu HM; Liang J
    Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():5029-34. PubMed ID: 18003136
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Conformational analysis of replica exchange MD: Temperature-dependent Markov networks for FF amyloid peptides.
    Narayan B; Herbert C; Yuan Y; Rodriguez BJ; Brooks BR; Buchete NV
    J Chem Phys; 2018 Aug; 149(7):072323. PubMed ID: 30134732
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Markov processes follow from the principle of maximum caliber.
    Ge H; Pressé S; Ghosh K; Dill KA
    J Chem Phys; 2012 Feb; 136(6):064108. PubMed ID: 22360170
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.