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 *

158 related articles for article (PubMed ID: 30195289)

  • 21. Dimensionality of Collective Variables for Describing Conformational Changes of a Multi-Domain Protein.
    Matsunaga Y; Komuro Y; Kobayashi C; Jung J; Mori T; Sugita Y
    J Phys Chem Lett; 2016 Apr; 7(8):1446-51. PubMed ID: 27049936
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Automated collective variable discovery for MFSD2A transporter from molecular dynamics simulations.
    Oh M; Rosa M; Xie H; Khelashvili G
    Biophys J; 2024 Jun; ():. PubMed ID: 38932456
    [TBL] [Abstract][Full Text] [Related]  

  • 23. On the Unfounded Enthusiasm for Soft Selective Sweeps III: The Supervised Machine Learning Algorithm That Isn't.
    Elhaik E; Graur D
    Genes (Basel); 2021 Apr; 12(4):. PubMed ID: 33916341
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Spectral gap optimization of order parameters for sampling complex molecular systems.
    Tiwary P; Berne BJ
    Proc Natl Acad Sci U S A; 2016 Mar; 113(11):2839-44. PubMed ID: 26929365
    [TBL] [Abstract][Full Text] [Related]  

  • 25. An exploration of machine learning models for the determination of reaction coordinates associated with conformational transitions.
    Naleem N; Abreu CRA; Warmuz K; Tong M; Kirmizialtin S; Tuckerman ME
    J Chem Phys; 2023 Jul; 159(3):. PubMed ID: 37458344
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Building maps in collective variable space.
    Gimondi I; Tribello GA; Salvalaglio M
    J Chem Phys; 2018 Sep; 149(10):104104. PubMed ID: 30219018
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Comparison of the Performance of Machine Learning Models in Representing High-Dimensional Free Energy Surfaces and Generating Observables.
    Cendagorta JR; Tolpin J; Schneider E; Topper RQ; Tuckerman ME
    J Phys Chem B; 2020 May; 124(18):3647-3660. PubMed ID: 32275148
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Machine Learning Nucleation Collective Variables with Graph Neural Networks.
    Dietrich FM; Advincula XR; Gobbo G; Bellucci MA; Salvalaglio M
    J Chem Theory Comput; 2024 Feb; 20(4):1600-1611. PubMed ID: 37877821
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Charting molecular free-energy landscapes with an atlas of collective variables.
    Hashemian B; Millán D; Arroyo M
    J Chem Phys; 2016 Nov; 145(17):174109. PubMed ID: 27825245
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Temperature-Accelerated Sampling and Amplified Collective Motion with Adiabatic Reweighting to Obtain Canonical Distributions and Ensemble Averages.
    Hu Y; Hong W; Shi Y; Liu H
    J Chem Theory Comput; 2012 Oct; 8(10):3777-92. PubMed ID: 26593019
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Combining Transition Path Sampling with Data-Driven Collective Variables through a Reactivity-Biased Shooting Algorithm.
    Zhang J; Zhang O; Bonati L; Hou T
    J Chem Theory Comput; 2024 Jun; 20(11):4523-4532. PubMed ID: 38801759
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Contour forward flux sampling: Sampling rare events along multiple collective variables.
    DeFever RS; Sarupria S
    J Chem Phys; 2019 Jan; 150(2):024103. PubMed ID: 30646707
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Augmenting Human Expertise in Weighted Ensemble Simulations through Deep Learning based Information Bottleneck.
    Wang D; Tiwary P
    ArXiv; 2024 Jun; ():. PubMed ID: 38947925
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Multiagent Reinforcement Learning-Based Adaptive Sampling for Conformational Dynamics of Proteins.
    Kleiman DE; Shukla D
    J Chem Theory Comput; 2022 Sep; 18(9):5422-5434. PubMed ID: 36044642
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Collective variable discovery and enhanced sampling using autoencoders: Innovations in network architecture and error function design.
    Chen W; Tan AR; Ferguson AL
    J Chem Phys; 2018 Aug; 149(7):072312. PubMed ID: 30134681
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Comparison of machine learning and traditional classifiers in glaucoma diagnosis.
    Chan K; Lee TW; Sample PA; Goldbaum MH; Weinreb RN; Sejnowski TJ
    IEEE Trans Biomed Eng; 2002 Sep; 49(9):963-74. PubMed ID: 12214886
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Sparse Markov chain-based semi-supervised multi-instance multi-label method for protein function prediction.
    Han C; Chen J; Wu Q; Mu S; Min H
    J Bioinform Comput Biol; 2015 Oct; 13(5):1543001. PubMed ID: 26493682
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Unbiasing Enhanced Sampling on a High-Dimensional Free Energy Surface with a Deep Generative Model.
    Liu Y; Ghosh TK; Lin G; Chen M
    J Phys Chem Lett; 2024 Apr; 15(14):3938-3945. PubMed ID: 38568182
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Laplacian twin support vector machine for semi-supervised classification.
    Qi Z; Tian Y; Shi Y
    Neural Netw; 2012 Nov; 35():46-53. PubMed ID: 22954478
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Collective Variables for Crystallization Simulations-from Early Developments to Recent Advances.
    Neha ; Tiwari V; Mondal S; Kumari N; Karmakar T
    ACS Omega; 2023 Jan; 8(1):127-146. PubMed ID: 36643553
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.