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 *

244 related articles for article (PubMed ID: 26588124)

  • 1. Nonequilibrium Candidate Monte Carlo Simulations with Configurational Freezing Schemes.
    Giovannelli E; Gellini C; Pietraperzia G; Cardini G; Chelli R
    J Chem Theory Comput; 2014 Oct; 10(10):4273-83. PubMed ID: 26588124
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Local Sampling in Steered Monte Carlo Simulations Decreases Dissipation and Enhances Free Energy Estimates via Nonequilibrium Work Theorems.
    Chelli R
    J Chem Theory Comput; 2012 Nov; 8(11):4040-52. PubMed ID: 26605571
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Exploiting Configurational Freezing in Nonequilibrium Monte Carlo Simulations.
    Nicolini P; Frezzato D; Chelli R
    J Chem Theory Comput; 2011 Mar; 7(3):582-93. PubMed ID: 26596292
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Nonequilibrium candidate Monte Carlo is an efficient tool for equilibrium simulation.
    Nilmeier JP; Crooks GE; Minh DD; Chodera JD
    Proc Natl Acad Sci U S A; 2011 Nov; 108(45):E1009-18. PubMed ID: 22025687
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Improvement in molecule exchange efficiency in Gibbs ensemble Monte Carlo: development and implementation of the continuous fractional component move.
    Shi W; Maginn EJ
    J Comput Chem; 2008 Nov; 29(15):2520-30. PubMed ID: 18478586
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Configurational Sampling of All-Atom Solvated Membranes Using Hybrid Nonequilibrium Molecular Dynamics Monte Carlo Simulations.
    Szczepaniak F; Dehez F; Roux B
    J Phys Chem Lett; 2024 Apr; 15(14):3796-3804. PubMed ID: 38557030
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Enhanced Sampling of an Atomic Model with Hybrid Nonequilibrium Molecular Dynamics-Monte Carlo Simulations Guided by a Coarse-Grained Model.
    Chen Y; Roux B
    J Chem Theory Comput; 2015 Aug; 11(8):3572-83. PubMed ID: 26574442
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Optimal sampling efficiency in Monte Carlo simulation with an approximate potential.
    Coe JD; Sewell TD; Shaw MS
    J Chem Phys; 2009 Apr; 130(16):164104. PubMed ID: 19405558
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Min-map bias Monte Carlo for chain molecules: biased Monte Carlo sampling based on bijective minimum-to-minimum mapping.
    Laso M; Karayiannis NCh; Müller M
    J Chem Phys; 2006 Oct; 125(16):164108. PubMed ID: 17092064
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Efficient hybrid non-equilibrium molecular dynamics--Monte Carlo simulations with symmetric momentum reversal.
    Chen Y; Roux B
    J Chem Phys; 2014 Sep; 141(11):114107. PubMed ID: 25240345
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Efficient configurational-bias Monte-Carlo simulations of chain molecules with "swarms" of trial configurations.
    Boon N
    J Chem Phys; 2018 Aug; 149(6):064109. PubMed ID: 30111122
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Enhancing water sampling of buried binding sites using nonequilibrium candidate Monte Carlo.
    Bergazin TD; Ben-Shalom IY; Lim NM; Gill SC; Gilson MK; Mobley DL
    J Comput Aided Mol Des; 2021 Feb; 35(2):167-177. PubMed ID: 32968887
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Enhanced configurational sampling with hybrid non-equilibrium molecular dynamics-Monte Carlo propagator.
    Suh D; Radak BK; Chipot C; Roux B
    J Chem Phys; 2018 Jan; 148(1):014101. PubMed ID: 29306299
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Parallel Monte Carlo simulations using a residence weight algorithm.
    Athènes M
    Phys Rev E Stat Nonlin Soft Matter Phys; 2002 Jul; 66(1 Pt 2):016701. PubMed ID: 12241510
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multiparticle moves in acceptance rate optimized Monte Carlo.
    Neumann T; Danilov D; Wenzel W
    J Comput Chem; 2015 Nov; 36(30):2236-45. PubMed ID: 26459216
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Speed-up of Monte Carlo simulations by sampling of rejected states.
    Frenkel D
    Proc Natl Acad Sci U S A; 2004 Dec; 101(51):17571-5. PubMed ID: 15591337
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Enhancing sampling of water rehydration upon ligand binding using variants of grand canonical Monte Carlo.
    Ge Y; Melling OJ; Dong W; Essex JW; Mobley DL
    J Comput Aided Mol Des; 2022 Oct; 36(10):767-779. PubMed ID: 36198874
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Monte Carlo simulation of dense polymer melts using event chain algorithms.
    Kampmann TA; Boltz HH; Kierfeld J
    J Chem Phys; 2015 Jul; 143(4):044105. PubMed ID: 26233105
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Driving Structural Transitions in Molecular Simulations Using the Nonequilibrium Candidate Monte Carlo.
    Kurut A; Fonseca R; Boomsma W
    J Phys Chem B; 2018 Jan; 122(3):1195-1204. PubMed ID: 29260565
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Reweighting for nonequilibrium Markov processes using sequential importance sampling methods.
    Lee HK; Okabe Y
    Phys Rev E Stat Nonlin Soft Matter Phys; 2005 Jan; 71(1 Pt 2):015102. PubMed ID: 15697640
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.