Adaptive partitioning by local density-peaks: An efficient density-based clustering algorithm for analyzing molecular dynamics trajectories
Published 2016 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Adaptive partitioning by local density-peaks: An efficient density-based clustering algorithm for analyzing molecular dynamics trajectories
Authors
Keywords
-
Journal
JOURNAL OF COMPUTATIONAL CHEMISTRY
Volume 38, Issue 3, Pages 152-160
Publisher
Wiley
Online
2016-11-21
DOI
10.1002/jcc.24664
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Elucidation of the Dynamics of Transcription Elongation by RNA Polymerase II using Kinetic Network Models
- (2016) Lu Zhang et al. ACCOUNTS OF CHEMICAL RESEARCH
- Robust Density-Based Clustering To Identify Metastable Conformational States of Proteins
- (2016) Florian Sittel et al. Journal of Chemical Theory and Computation
- Bridge helix bending promotes RNA polymerase II backtracking through a critical and conserved threonine residue
- (2016) Lin-Tai Da et al. Nature Communications
- A Basis Set for Peptides for the Variational Approach to Conformational Kinetics
- (2015) F. Vitalini et al. Journal of Chemical Theory and Computation
- Kinetic Distance and Kinetic Maps from Molecular Dynamics Simulation
- (2015) Frank Noé et al. Journal of Chemical Theory and Computation
- FAST Conformational Searches by Balancing Exploration/Exploitation Trade-Offs
- (2015) Maxwell I. Zimmerman et al. Journal of Chemical Theory and Computation
- Markov State Models Reveal a Two-Step Mechanism of miRNA Loading into the Human Argonaute Protein: Selective Binding followed by Structural Re-arrangement
- (2015) Hanlun Jiang et al. PLoS Computational Biology
- Markov state models of biomolecular conformational dynamics
- (2014) John D Chodera et al. CURRENT OPINION IN STRUCTURAL BIOLOGY
- Automatic State Partitioning for Multibody Systems (APM): An Efficient Algorithm for Constructing Markov State Models To Elucidate Conformational Dynamics of Multibody Systems
- (2014) Fu Kit Sheong et al. Journal of Chemical Theory and Computation
- Variational Approach to Molecular Kinetics
- (2014) Feliks Nüske et al. Journal of Chemical Theory and Computation
- Application of Molecular-Dynamics Based Markov State Models to Functional Proteins
- (2014) Robert D. Malmstrom et al. Journal of Chemical Theory and Computation
- Surprisal Metrics for Quantifying Perturbed Conformational Dynamics in Markov State Models
- (2014) Vincent A. Voelz et al. Journal of Chemical Theory and Computation
- Millisecond dynamics of RNA polymerase II translocation at atomic resolution
- (2014) D.-A. Silva et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Clustering by fast search and find of density peaks
- (2014) A. Rodriguez et al. SCIENCE
- Quantitatively Characterizing the Ligand Binding Mechanisms of Choline Binding Protein Using Markov State Model Analysis
- (2014) Shuo Gu et al. PLoS Computational Biology
- Hierarchical Nyström methods for constructing Markov state models for conformational dynamics
- (2013) Yuan Yao et al. JOURNAL OF CHEMICAL PHYSICS
- A Two-State Model for the Dynamics of the Pyrophosphate Ion Release in Bacterial RNA Polymerase
- (2013) Lin-Tai Da et al. PLoS Computational Biology
- A fast parallel clustering algorithm for molecular simulation trajectories
- (2012) Yutong Zhao et al. JOURNAL OF COMPUTATIONAL CHEMISTRY
- Markov models of molecular kinetics: Generation and validation
- (2011) Jan-Hendrik Prinz et al. JOURNAL OF CHEMICAL PHYSICS
- Complete reconstruction of an enzyme-inhibitor binding process by molecular dynamics simulations
- (2011) I. Buch et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Taming the complexity of protein folding
- (2010) Gregory R Bowman et al. CURRENT OPINION IN STRUCTURAL BIOLOGY
- Comparing geometric and kinetic cluster algorithms for molecular simulation data
- (2010) Bettina Keller et al. JOURNAL OF CHEMICAL PHYSICS
- Enhanced Modeling via Network Theory: Adaptive Sampling of Markov State Models
- (2010) Gregory R. Bowman et al. Journal of Chemical Theory and Computation
- Everything you wanted to know about Markov State Models but were afraid to ask
- (2010) Vijay S. Pande et al. METHODS
- Modeling Conformational Ensembles of Slow Functional Motions in Pin1-WW
- (2010) Faruck Morcos et al. PLoS Computational Biology
- Using generalized ensemble simulations and Markov state models to identify conformational states
- (2009) Gregory R. Bowman et al. METHODS
- Rapid equilibrium sampling initiated from nonequilibrium data
- (2009) X. Huang et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Anton, a special-purpose machine for molecular dynamics simulation
- (2008) David E. Shaw et al. COMMUNICATIONS OF THE ACM
- A simple and fast algorithm for K-medoids clustering
- (2008) Hae-Sang Park et al. EXPERT SYSTEMS WITH APPLICATIONS
- Building Markov state models along pathways to determine free energies and rates of transitions
- (2008) Albert C. Pan et al. JOURNAL OF CHEMICAL PHYSICS
- Simple Continuous and Discrete Models for Simulating Replica Exchange Simulations of Protein Folding†
- (2008) Weihua Zheng et al. JOURNAL OF PHYSICAL CHEMISTRY B
- Coarse Master Equations for Peptide Folding Dynamics†
- (2008) Nicolae-Viorel Buchete et al. JOURNAL OF PHYSICAL CHEMISTRY B
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started