Markov state models provide insights into dynamic modulation of protein function
Conspectus Protein function is inextricably linked to protein dynamics. As we move from a
static structural picture to a dynamic ensemble view of protein structure and function, novel …
static structural picture to a dynamic ensemble view of protein structure and function, novel …
[PDF][PDF] MDTraj: a modern open library for the analysis of molecular dynamics trajectories
As molecular dynamics (MD) simulations continue to evolve into powerful computational
tools for studying complex biomolecular systems, the necessity of flexible and easy-to-use …
tools for studying complex biomolecular systems, the necessity of flexible and easy-to-use …
[PDF][PDF] MSMBuilder: statistical models for biomolecular dynamics
MSMBuilder is a software package for building statistical models of high-dimensional time-series
data. It is designed with a particular focus on the analysis of atomistic simulations of …
data. It is designed with a particular focus on the analysis of atomistic simulations of …
Variational encoding of complex dynamics
Often the analysis of time-dependent chemical and biophysical systems produces high-dimensional
time-series data for which it can be difficult to interpret which individual features are …
time-series data for which it can be difficult to interpret which individual features are …
[PDF][PDF] Osprey: Hyperparameter optimization for machine learning
Osprey is a tool for hyperparameter optimization of machine learning algorithms in Python.
Hyperparameter optimization can often be an onerous process for researchers, due to …
Hyperparameter optimization can often be an onerous process for researchers, due to …
Using deep learning for segmentation and counting within microscopy data
Cell counting is a ubiquitous, yet tedious task that would greatly benefit from automation.
From basic biological questions to clinical trials, cell counts provide key quantitative feedback …
From basic biological questions to clinical trials, cell counts provide key quantitative feedback …
[PDF][PDF] MDEntropy: Information-theoretic analyses for molecular dynamics
CX Hernández, VS Pande - Journal of Open Source Software, 2017 - joss.theoj.org
MDEntropy is a Python package for information-theoretic (IT) analysis of data generated from
molecular dynamics simulations. While correlation studies have long been of interest to the …
molecular dynamics simulations. While correlation studies have long been of interest to the …
Quaternion-valued convolutional neural network applied for acute lymphoblastic leukemia diagnosis
MA Granero, CX Hernández, ME Valle - Brazilian conference on intelligent …, 2021 - Springer
The field of neural networks has seen significant advances in recent years with the development
of deep and convolutional neural networks. Although many of the current works address …
of deep and convolutional neural networks. Although many of the current works address …
[PDF][PDF] MSMExplorer: data visualizations for biomolecular dynamics
MSMExplorer is a Python package for visualizing data generated from biomolecular dynamics.
While molecular visualizations have been a large focus of the molecular dynamics (MD) …
While molecular visualizations have been a large focus of the molecular dynamics (MD) …
Structure‐based network analysis of an evolved G protein‐coupled receptor homodimer interface
SE Nichols, CX Hernández, Y Wang… - Protein …, 2013 - Wiley Online Library
Crystallographic structures and experimental assays of human CXC chemokine receptor
type 4 (CXCR4) provide strong evidence for the capacity to homodimerize, potentially as a …
type 4 (CXCR4) provide strong evidence for the capacity to homodimerize, potentially as a …