Identification of slow molecular order parameters for Markov model construction

Pérez-Hernández, Guillermo, Paul, Fabian, Giorgino, Toni, De Fabritiis, Gianni, Noé, Frank·2013·The Journal of Chemical Physics

Cited by (1,004)

Items 201–300 of 1,004

  1. MHC class II complexes sample intermediate states along the peptide exchange pathway
    Marek Wieczorek, Jana Sticht, Sebastian Stolzenberg, Sebastian Günther, Christoph Wehmeyer, Zeina El Habre, Miguel Álvaro‐Benito, Frank Noé, Christian Freund · 2016 · Nature Communications
  2. String Method with Swarms-of-Trajectories, Mean Drifts, Lag Time, and Committor
    Benoı̂t Roux · 2021 · The Journal of Physical Chemistry A
  3. Kinetics of Ligand–Protein Dissociation from All-Atom Simulations: Are We There Yet?
    João Marcelo Lamim Ribeiro, Sun-Ting Tsai, Debabrata Pramanik, Yihang Wang, Pratyush Tiwary · 2018 · Biochemistry
  4. Mapping the Ligand Binding Landscape
    Alex Dickson · 2018 · bioRxiv
  5. Statistically Optimal Force Aggregation for Coarse-Graining Molecular Dynamics
    Andreas Krämer, Aleksander E. P. Durumeric, Nicholas E. Charron, Yaoyi Chen, Cecilia Clementi, Frank Noé · 2023 · The Journal of Physical Chemistry Letters
  6. Decisive role of water and protein dynamics in residence time of p38α MAP kinase inhibitors
    Tatu Pantsar, Philipp D. Kaiser, Mark Kudolo, Michael Förster, Ulrich Rothbauer, Stefan Laufer · 2022 · Nature Communications
  7. Thermodynamics and kinetics of the amyloid-β peptide revealed by Markov state models based on MD data in agreement with experiment
    Arghadwip Paul, Suman Samantray, Marco Anteghini, Mohammed Khaled, Birgit Strodel · 2021 · Chemical Science
  8. Conformational and Dynamical Effects of Tyr32 Phosphorylation in K-Ras: Molecular Dynamics Simulation and Markov State Models Analysis
    Mohammed Khaled, Alemayehu Abebe Gorfe, Abdallah Sayyed–Ahmad · 2019 · The Journal of Physical Chemistry B
  9. Modeling the mechanism of CLN025 beta-hairpin formation
    Keri A. McKiernan, Brooke E. Husic, Vijay S. Pande · 2017 · The Journal of Chemical Physics
  10. The capsid lattice engages a bipartite NUP153 motif to mediate nuclear entry of HIV-1 cores
    Qi Shen, Sushila Kumari, Chaoyi Xu, Sooin Jang, Jiong Shi, Ryan C. Burdick, Lev Levintov, Qiancheng Xiong, Chunxiang Wu, Swapnil C. Devarkar et al. · 2023 · Proceedings of the National Academy of Sciences
  11. Ensuring thermodynamic consistency with invertible coarse-graining
    Shriram Chennakesavalu, David J. Toomer, Grant M. Rotskoff · 2023 · The Journal of Chemical Physics
  12. Mechanistic origin of partial agonism of tetrahydrocannabinol for cannabinoid receptors
    Soumajit Dutta, Balaji Selvam, Aditi Das, Diwakar Shukla · 2022 · Journal of Biological Chemistry
  13. Collective variable discovery in the age of machine learning: reality, hype and everything in between
    Soumendranath Bhakat · 2022 · RSC Advances
  14. Dissociation Process of a MDM2/p53 Complex Investigated by Parallel Cascade Selection Molecular Dynamics and the Markov State Model
    Duy Phuoc Tran, Akio Kitao · 2019 · The Journal of Physical Chemistry B
  15. Stochastic steps in secondary active sugar transport
    Joshua L. Adelman, Chiara Ghezzi, Paola Bisignano, Donald D. F. Loo, Seungho Choe, Jeff Abramson, John M. Rosenberg, Ernest Marshall Wright, Michael Grabe · 2016 · Proceedings of the National Academy of Sciences
  16. A Maximum-Caliber Approach to Predicting Perturbed Folding Kinetics Due to Mutations
    Hongbin Wan, Guangfeng Zhou, Vincent A. Voelz · 2016 · Journal of Chemical Theory and Computation
  17. Automatic State Partitioning for Multibody Systems (APM): An Efficient Algorithm for Constructing Markov State Models To Elucidate Conformational Dynamics of Multibody Systems
    Fu Kit Sheong, Daniel‐Adriano Silva, Luming Meng, Yutong Zhao, Xuhui Huang · 2014 · Journal of Chemical Theory and Computation
  18. Active Learning of the Conformational Ensemble of Proteins using Maximum Entropy VAMPNets
    D. Kleiman, Diwakar Shukla · 2023 · bioRxiv
  19. Enzyme Dynamics: Looking Beyond a Single Structure
    Pratul K. Agarwal, David N. Bernard, Khushboo Bafna, Nicolas Doucet · 2020 · ChemCatChem
  20. The dynamic conformational landscape of the protein methyltransferase SETD8
    Shi Chen, Rafal Wiewiora, Fanwang Meng, Nicolas Babault, Anqi Ma, Wenyu Yu, Kun Qian, Hao Hu, Hua Zou, Junyi Wang et al. · 2019 · eLife
  21. Simulations meet machine learning in structural biology
    Adrià Pérez, Gerard Martínez-Rosell, Gianni De Fabritiis · 2018 · Current Opinion in Structural Biology
  22. Protein–Ligand Dissociation Simulated by Parallel Cascade Selection Molecular Dynamics
    Duy Phuoc Tran, Kazuhiro Takemura, Kazuo Kuwata, Akio Kitao · 2017 · Journal of Chemical Theory and Computation
  23. Advanced simulation techniques for the thermodynamic and kinetic characterization of biological systems
    Carlo Camilloni, Fabio Pietrucci · 2018 · Advances in Physics X
  24. Unfolding Hidden Barriers by Active Enhanced Sampling
    Jing Zhang, Ming Chen · 2017 · Physical Review Letters
  25. Exploring the Dynamics of Propeller Loops in Human Telomeric DNA Quadruplexes Using Atomistic Simulations
    Barira Islam, Petr Stadlbauer, Alejandro Gil-Ley, Guillermo Pérez‐Hernández, Shozeb M Haider, Stephen Neidle, Giovanni Bussi, Pavel Banáš, Michal Otyepka, Jiří Šponer · 2017 · Journal of Chemical Theory and Computation
  26. Role of bacterial RNA polymerase gate opening dynamics in DNA loading and antibiotics inhibition elucidated by quasi-Markov State Model
    Ilona Christy Unarta, Siqin Cao, Shintaroh Kubo, Wei Wang, Peter Pak‐Hang Cheung, Xin Gao, Shoji Takada, Xuhui Huang · 2021 · Proceedings of the National Academy of Sciences
  27. Defining an Optimal Metric for the Path Collective Variables
    Ladislav Hovan, Federico Comitani, Francesco Luigi Gervasio · 2018 · Journal of Chemical Theory and Computation
  28. Dynamic graphical models of molecular kinetics
    Simon Olsson, Frank Noé · 2019 · Proceedings of the National Academy of Sciences
  29. Markov State Models and tICA Reveal a Nonnative Folding Nucleus in Simulations of NuG2
    Christian R. Schwantes, Diwakar Shukla, Vijay S. Pande · 2016 · Biophysical Journal
  30. Efficient Bayesian estimation of Markov model transition matrices with given stationary distribution
    Trendelkamp-Schroer, Benjamin, Noé, Frank · 2013 · The Journal of Chemical Physics
  31. Exploring transition states of protein conformational changes via out-of-distribution detection in the hyperspherical latent space
    Bojun Liu, Jordan G. Boysen, Ilona Christy Unarta, Xuefeng Du, Yixuan Li, Xuhui Huang · 2025 · Nature Communications
  32. Collective Variable-Based Enhanced Sampling: From Human Learning to Machine Learning
    Haohao Fu, Hengwei Bian, Xueguang Shao, Wensheng Cai · 2024 · The Journal of Physical Chemistry Letters
  33. Architecture of the MKK6-p38α complex defines the basis of MAPK specificity and activation
    Pauline Juyoux, Ioannis Galdadas, Dorothea Gobbo, Jill von Velsen, Martin Pelosse, Mark D. Tully, Oscar Vadas, Francesco Luigi Gervasio, Erika Pellegrini, Matthew W. Bowler · 2023 · Science
  34. Distinct Substrate Transport Mechanism Identified in Homologous Sugar Transporters.
    Kevin J. Cheng, Balaji Selvam, Li-Qing Chen, D. Shukla · 2019 · Journal of Physical Chemistry B
  35. Capabilities and limitations of time-lagged autoencoders for slow mode discovery in dynamical systems
    Wei Chen, Hythem Sidky, Andrew L. Ferguson · 2019 · The Journal of Chemical Physics
  36. Optimal Data-Driven Estimation of Generalized Markov State Models for Non-Equilibrium Dynamics
    Péter Koltai, Hao Wu, Frank Noé, Christof Schütte · 2018 · Computation
  37. Structure Language Models for Protein Conformation Generation
    Jiarui Lu, Xiaoyin Chen, Stephen Zhewen Lu, Chence Shi, Hongyu Guo, Yoshua Bengio, Jian Tang · 2024 · arXiv (Cornell University)
  38. A quantitative paradigm for water-assisted proton transport through proteins and other confined spaces
    Chenghan Li, G. Voth · 2021 · Proceedings of the National Academy of Sciences of the United States of America
  39. Selectivity filter modalities and rapid inactivation of the hERG1 channel
    Williams E. Miranda, Kevin R. DeMarco, Jiqing Guo, Henry J. Duff, Igor V. Vorobyov, Colleen E. Clancy, Sergei Yu. Noskov · 2020 · Proceedings of the National Academy of Sciences
  40. Rapid Calculation of Molecular Kinetics Using Compressed Sensing
    Florian Litzinger, Lorenzo Boninsegna, Hao Wu, Feliks Nüske, Raajen Patel, Richard G. Baraniuk, Frank Noé, Cecilia Clementi · 2018 · Journal of Chemical Theory and Computation
  41. xTRAM: Estimating Equilibrium Expectations from Time-Correlated Simulation Data at Multiple Thermodynamic States
    Antonia S. J. S. Mey, Hao Wu, Frank Noé · 2014 · Physical Review X
  42. Modeling Boltzmann-weighted structural ensembles of proteins using artificial intelligence–based methods
    Akashnathan Aranganathan, Xinyu Gu, Dedi Wang, Bodhi P. Vani, Pratyush Tiwary · 2025 · Current Opinion in Structural Biology
  43. Human Learning for Molecular Simulations: The Collective Variables Dashboard in VMD.
    Jérôme Hénin, Laura J. S. Lopes, G. Fiorin · 2021 · Journal of Chemical Theory and Computation
  44. KRAS(G12C)–AMG 510 interaction dynamics revealed by all-atom molecular dynamics simulations
    Tatu Pantsar · 2020 · Scientific Reports
  45. Low dimensional representations along intrinsic reaction coordinates and molecular dynamics trajectories using interatomic distance matrices
    Stephanie R. Hare, Lars Andersen Bratholm, David R. Glowacki, Barry K. Carpenter · 2019 · Chemical Science
  46. Identification and Validation of Reaction Coordinates Describing Protein Functional Motion: Hierarchical Dynamics of T4 Lysozyme
    Matthias Ernst, Steffen Wolf, Gerhard Stock · 2017 · Journal of Chemical Theory and Computation
  47. Markov State Models of gene regulatory networks
    Brian K Chu, Margaret J. Tse, Royce R. Sato, Elizabeth L. Read · 2017 · BMC Systems Biology
  48. Efficient maximum likelihood parameterization of continuous-time Markov processes
    Robert T. McGibbon, Vijay S. Pande · 2015 · The Journal of Chemical Physics
  49. Weighted ensemble milestoning (WEM): A combined approach for rare event simulations
    Dhiman Ray, Ioan Andricioaei · 2020 · The Journal of Chemical Physics
  50. Neural Canonical Transformation with Symplectic Flows
    Shuo-Hui Li, Chenxiao Dong, Linfeng Zhang, Lei Wang · 2020 · Physical Review X
  51. Memory Unlocks the Future of Biomolecular Dynamics: Transformative Tools to Uncover Physical Insights Accurately and Efficiently
    Anthony J. Dominic, Siqin Cao, Andrés Montoya−Castillo, Xuhui Huang · 2023 · Journal of the American Chemical Society
  52. Role of internal loop dynamics in antibiotic permeability of outer membrane porins
    Archit Kumar Vasan, Nandan Haloi, Rebecca J. Ulrich, Mary Elizabeth Metcalf, Po‐Chao Wen, William W. Metcalf, Paul J. Hergenrother, Diwakar Shukla, Emad Tajkhorshid · 2022 · Proceedings of the National Academy of Sciences
  53. Performance of Markov State Models and Transition Networks on Characterizing Amyloid Aggregation Pathways from MD Data
    Alexander-Maurice Illig, Birgit Strodel · 2020 · Journal of Chemical Theory and Computation
  54. Multiscale Reweighted Stochastic Embedding: Deep Learning of Collective Variables for Enhanced Sampling
    Jakub Rydzewski, Ómar Valsson · 2021 · The Journal of Physical Chemistry A
  55. Discovery of a hidden transient state in all bromodomain families
    L. Raich, K. Meier, Judith Günther, Clara D. Christ, Frank Noé, S. Olsson · 2020 · Proceedings of the National Academy of Sciences of the United States of America
  56. Revealing Molecular Determinants of hERG Blocker and Activator Binding
    Callum J. Dickson, Camilo Velez-Vega, J. Duca · 2019 · Journal of Chemical Information and Modeling
  57. Kernel methods for detecting coherent structures in dynamical data.
    Stefan Klus, B. Husic, Mattes Mollenhauer, Frank Noé · 2019 · Chaos
  58. T7 RNA polymerase translocation is facilitated by a helix opening on the fingers domain that may also prevent backtracking
    Lin‐Tai Da, E Chao, Yao Shuai, Shaogui Wu, Xiao‐Dong Su, Jin Hui Yu · 2017 · Nucleic Acids Research
  59. Consistent Sampling and Simulation: Molecular Dynamics with Energy-Based Diffusion Models
    Michael Plainer, Hao Wu, Leon Klein, Stephan Günnemann, F. Noé · 2025 · Neural Information Processing Systems
  60. Girsanov Reweighting Enhanced Sampling Technique (GREST): On-the-Fly Data-Driven Discovery of and Enhanced Sampling in Slow Collective Variables
    Kirill Shmilovich, Andrew L. Ferguson · 2023 · The Journal of Physical Chemistry A
  61. Gaussian-Accelerated Molecular Dynamics with the Weighted Ensemble Method: A Hybrid Method Improves Thermodynamic and Kinetic Sampling
    Surl-Hee Ahn, Anupam Anand Ojha, R. Amaro, J. McCammon · 2021 · Journal of Chemical Theory and Computation
  62. Elucidating molecular mechanisms of functional conformational changes of proteins via Markov state models
    Xiaowei Wang, Ilona Christy Unarta, Peter Pak‐Hang Cheung, Xuhui Huang · 2020 · Current Opinion in Structural Biology
  63. Disclosing the Mechanism of Spontaneous Aggregation and Template-Induced Misfolding of the Key Hexapeptide (PHF6) of Tau Protein Based on Molecular Dynamics Simulation
    Hongli Liu, Haiyang Zhong, Xuewei Liu, Shuangyan Zhou, Shuoyan Tan, Huanxiang Liu, Xiaojun Yao · 2019 · ACS Chemical Neuroscience
  64. Machine Learning for Molecular Dynamics on Long Timescales
    Frank Noé · 2020 · Lecture notes in physics
  65. Identification of kinetic order parameters for non-equilibrium dynamics
    Fabian Paul, Hao Wu, Maximilian Vossel, Bert L. de Groot, Frank Noé · 2019 · The Journal of Chemical Physics
  66. Integrative generalized master equation: A method to study long-timescale biomolecular dynamics via the integrals of memory kernels
    Siqin Cao, Yunrui Qiu, Michael L. Kalin, Xuhui Huang · 2023 · The Journal of Chemical Physics
  67. An Efficient Path Classification Algorithm Based on Variational Autoencoder to Identify Metastable Path Channels for Complex Conformational Changes
    Yunrui Qiu, Michael S. O’Connor, Mingyi Xue, Bojun Liu, Xuhui Huang · 2023 · Journal of Chemical Theory and Computation
  68. Computational methods and theory for ion channel research
    Carlo Guardiani, Fabio Cecconi, Letizia Chiodo, Grazia Cottone, Paolo Malgaretti, Luca Maragliano, Miraslau L. Barabash, Gaia Camisasca, Matteo Ceccarelli, Ben Corry et al. · 2022 · Advances in Physics X
  69. Simulate Time-integrated Coarse-grained Molecular Dynamics with Multi-Scale Graph Networks
    Xiang Fu, Tian Xie, Nathan Rebello, Bradley D. Olsen, Tommi Jaakkola · 2022 · arXiv (Cornell University)
  70. Markov state models and NMR uncover an overlooked allosteric loop in p53
    Emilia Pecora de Barros, Özlem Demir, Jenaro Soto, Melanie J. Cocco, Rommie E. Amaro · 2020 · Chemical Science
  71. Data-Driven Molecular Dynamics: A Multifaceted Challenge
    Mattia Bernetti, Martina Bertazzo, Matteo Masetti · 2020 · Pharmaceuticals
  72. Target search and recognition mechanisms of glycosylase AlkD revealed by scanning FRET-FCS and Markov state models
    Sijia Peng, Xiaowei Wang, Lu Zhang, Shanshan He, Xin Sheng Zhao, Xuhui Huang, Chunlai Chen · 2020 · Proceedings of the National Academy of Sciences
  73. Base-flipping dynamics from an intrahelical to an extrahelical state exerted by thymine DNA glycosylase during DNA repair process
    Lin‐Tai Da, Jin Hui Yu · 2018 · Nucleic Acids Research
  74. MSM/RD: Coupling Markov state models of molecular kinetics with reaction-diffusion simulations
    Manuel Dibak, Mauricio J. del Razo, David De Sancho, Christof Schütte, Frank Noé · 2018 · The Journal of Chemical Physics
  75. Drug Discovery and Molecular Dynamics: Methods, Applications and Perspective Beyond the Second Timescale.
    Gerard Martínez-Rosell, T. Giorgino, M. Harvey, G. de Fabritiis · 2017 · Current Topics in Medicinal Chemistry
  76. Mechanistic Models of Chemical Exchange Induced Relaxation in Protein NMR
    Simon Olsson, Frank Noé · 2016 · Journal of the American Chemical Society
  77. Markov state models of protein misfolding
    Anshul Sirur, David De Sancho, Robert B. Best · 2016 · The Journal of Chemical Physics
  78. Shedding Light on the Dock–Lock Mechanism in Amyloid Fibril Growth Using Markov State Models
    Marieke Schor, Antonia S. J. S. Mey, Frank Noé, Cait E. MacPhee · 2015 · The Journal of Physical Chemistry Letters
  79. Committor-Consistent Variational String Method
    Ziwei He, Christophe J. Chipot, Benoît Roux · 2022 · The Journal of Physical Chemistry Letters
  80. Temporally Coherent Backmapping of Molecular Trajectories From Coarse-Grained to Atomistic Resolution
    Kirill Shmilovich, Marc Stieffenhofer, Nicholas E. Charron, Moritz Hoffmann · 2022 · The Journal of Physical Chemistry A
  81. The mechanism of RNA base fraying: Molecular dynamics simulations analyzed with core-set Markov state models
    Giovanni Pinamonti, Fabian Paul, Frank Noé, Álex Rodríguez, Giovanni Bussi · 2019 · The Journal of Chemical Physics
  82. Nonlinear machine learning in simulations of soft and biological materials
    Jiang Wang, Andrew L. Ferguson · 2017 · Molecular Simulation
  83. How structural elements evolving from bacterial to human SLC6 transporters enabled new functional properties
    Asghar M. Razavi, George Khelashvili, Harel Weinstein · 2018 · BMC Biology
  84. Koopman Theory for Partial Differential Equations
    J. Nathan Kutz, Joshua L. Proctor, Steven L. Brunton · 2016 · arXiv (Cornell University)
  85. Progress in studying intrinsically disordered proteins with atomistic simulations.
    Nathaniel H. Stanley, Santi Esteban-Martín, G. de Fabritiis · 2015 · Progress in Biophysics and Molecular Biology
  86. Energy Penalties Enhance Flexible Receptor Docking in a Model Cavity
    Kamenik, Anna S., Singh, Isha, Lak, Parnian, Balius, Trent E., Liedl, Klaus R., Shoichet, Brian K. · 2021
  87. Transferable Implicit Solvation via Contrastive Learning of Graph Neural Networks
    Justin Airas, Xinqiang Ding, Bin Zhang · 2023 · ACS Central Science
  88. SGOOP-d: Estimating Kinetic Distances and Reaction Coordinate Dimensionality for Rare Event Systems from Biased/Unbiased Simulations
    Sun-Ting Tsai, Zachary Smith, Pratyush Tiwary · 2021 · Journal of Chemical Theory and Computation
  89. Exploring the Regulatory Function of the N‐terminal Domain of SARS‐CoV‐2 Spike Protein through Molecular Dynamics Simulation
    Yao Li, Tong Wang, Juanrong Zhang, Bin Shao, Haipeng Gong, Yusong Wang, Xinheng He, Siyuan Liu, Tie‐Yan Liu · 2021 · Advanced Theory and Simulations
  90. Structural basis for ligand modulation of the CCR2 conformational landscape
    Bryn C. Taylor, Christopher T. Lee, Rommie E. Amaro · 2019 · Proceedings of the National Academy of Sciences
  91. Recruiting machine learning methods for molecular simulations of proteins
    Shriyaa Mittal, Diwakar Shukla · 2018 · Molecular Simulation
  92. Distinct Binding Mechanisms for Allosteric Sodium Ion In Cannabinoid Receptors
    2021
  93. Distinct Binding Mechanisms for Allosteric Sodium Ion in Cannabinoid Receptors
    Dutta, Soumajit, Selvam, Balaji, Shukla, Diwakar · 2022 · ACS Chemical Neuroscience
  94. GraphVAMPnets for uncovering slow collective variables of self-assembly dynamics
    Bojun Liu, Mingyi Xue, Yunrui Qiu, Kirill A. Konovalov, Michael S. O’Connor, Xuhui Huang · 2023 · The Journal of Chemical Physics
  95. MHC-II dynamics are maintained in HLA-DR allotypes to ensure catalyzed peptide exchange
    Esam Tolba Abualrous, Sebastian Stolzenberg, Jana Sticht, Marek Wieczorek, Yvette Roske, Matthias Günther, Steffen Dähn, Benedikt B. Boesen, Marcos Martínez Calvo, Charlotte Biese et al. · 2023 · Nature Chemical Biology
  96. Deep learning to decompose macromolecules into independent Markovian domains
    Andreas Mardt, Tim Hempel, Cecilia Clementi, Frank Noé · 2022 · Nature Communications
  97. Collective Variables for Crystallization Simulations─from Early Developments to Recent Advances
    Neha Neha, Vikas Tiwari, Soumya Mondal, Nisha Kumari, Tarak Karmakar · 2022 · ACS Omega
  98. Markov models for the elucidation of allosteric regulation
    Ushnish Sengupta, Birgit Strodel · 2018 · Philosophical Transactions of the Royal Society B Biological Sciences
  99. How wet should be the reaction coordinate for ligand unbinding?
    Pratyush Tiwary, B. J. Berne · 2016 · The Journal of Chemical Physics
  100. Variational Identification of Markovian Transition States
    Linda Martini, Adam Kells, Roberto Covino, Gerhard Hummer, Nicolae‐Viorel Buchete, Edina Rosta · 2017 · Physical Review X