[PDF][PDF] MDAnalysis: a Python package for the rapid analysis of molecular dynamics simulations

RJ Gowers, M Linke, J Barnoud, TJE Reddy, MN Melo… - 2019 - osti.gov
MDAnalysis (http://mdanalysis. org) is a library for structural and temporal analysis of
molecular dynamics (MD) simulation trajectories and individual protein structures. MD …

[HTML][HTML] Open source molecular modeling

S Pirhadi, J Sunseri, DR Koes - Journal of Molecular Graphics and …, 2016 - Elsevier
The success of molecular modeling and computational chemistry efforts are, by definition,
dependent on quality software applications. Open source software development provides …

PyLipID: a python package for analysis of protein–lipid interactions from molecular dynamics simulations

W Song, RA Corey, TB Ansell, CK Cassidy… - Journal of Chemical …, 2022 - ACS Publications
Lipids play important modulatory and structural roles for membrane proteins. Molecular
dynamics simulations are frequently used to provide insights into the nature of these protein …

Specific interactions of peripheral membrane proteins with lipids: what can molecular simulations show us?

AH Larsen, LH John, MSP Sansom… - Bioscience …, 2022 - portlandpress.com
Peripheral membrane proteins (PMPs) can reversibly and specifically bind to biological
membranes to carry out functions such as cell signalling, enzymatic activity, or membrane …

Deeptime: a Python library for machine learning dynamical models from time series data

M Hoffmann, M Scherer, T Hempel… - Machine Learning …, 2021 - iopscience.iop.org
Generation and analysis of time-series data is relevant to many quantitative fields ranging
from economics to fluid mechanics. In the physical sciences, structures such as metastable …

HTMD: high-throughput molecular dynamics for molecular discovery

S Doerr, MJ Harvey, F Noé… - Journal of chemical …, 2016 - ACS Publications
Recent advances in molecular simulations have allowed scientists to investigate slower
biological processes than ever before. Together with these advances came an explosion of …

[HTML][HTML] Best practices for quantification of uncertainty and sampling quality in molecular simulations [Article v1. 0]

A Grossfield, PN Patrone, DR Roe… - Living journal of …, 2018 - ncbi.nlm.nih.gov
The quantitative assessment of uncertainty and sampling quality is essential in molecular
simulation. Many systems of interest are highly complex, often at the edge of current …

Machine-learned molecular mechanics force fields from large-scale quantum chemical data

K Takaba, AJ Friedman, CE Cavender, PK Behara… - Chemical …, 2024 - pubs.rsc.org
The development of reliable and extensible molecular mechanics (MM) force fields—fast,
empirical models characterizing the potential energy surface of molecular systems—is …

Drug specificity and affinity are encoded in the probability of cryptic pocket opening in myosin motor domains

A Meller, JM Lotthammer, LG Smith, B Novak, LA Lee… - Elife, 2023 - elifesciences.org
The design of compounds that can discriminate between closely related target proteins
remains a central challenge in drug discovery. Specific therapeutics targeting the highly …

LiPyphilic: A Python toolkit for the analysis of lipid membrane simulations

P Smith, CD Lorenz - Journal of chemical theory and computation, 2021 - ACS Publications
Molecular dynamics simulations are now widely used to study emergent phenomena in lipid
membranes with complex compositions. Here, we present LiPyphilic—a fast, fully tested …