scispace - formally typeset
Open AccessJournal ArticleDOI

ACPYPE - AnteChamber PYthon Parser interfacE

Reads0
Chats0
TLDR
ACPYPE is a tool that simplifies the automatic generation of topology and parameters in different formats for different molecular mechanics programmes, including calculation of partial charges, while being object oriented for integration with other applications.
Abstract
ACPYPE (or AnteChamber PYthon Parser interfacE) is a wrapper script around the ANTECHAMBER software that simplifies the generation of small molecule topologies and parameters for a variety of molecular dynamics programmes like GROMACS, CHARMM and CNS. It is written in the Python programming language and was developed as a tool for interfacing with other Python based applications such as the CCPN software suite (for NMR data analysis) and ARIA (for structure calculations from NMR data). ACPYPE is open source code, under GNU GPL v3, and is available as a stand-alone application at http://www.ccpn.ac.uk/acpype and as a web portal application at http://webapps.ccpn.ac.uk/acpype . We verified the topologies generated by ACPYPE in three ways: by comparing with default AMBER topologies for standard amino acids; by generating and verifying topologies for a large set of ligands from the PDB; and by recalculating the structures for 5 protein–ligand complexes from the PDB. ACPYPE is a tool that simplifies the automatic generation of topology and parameters in different formats for different molecular mechanics programmes, including calculation of partial charges, while being object oriented for integration with other applications.

read more

Citations
More filters
Journal ArticleDOI

g_mmpbsa--a GROMACS tool for high-throughput MM-PBSA calculations.

TL;DR: A new tool, g_mmpbsa, which implements the MM-PBSA approach using subroutines written in-house or sourced from the GROMACS and APBS packages is described, and the calculated interaction energy of 37 structurally diverse HIV-1 protease inhibitor complexes is compared.
Journal ArticleDOI

Cloud-based simulations on Google Exacycle reveal ligand modulation of GPCR activation pathways

TL;DR: This work used Google's Exacycle cloud computing platform to simulate 2 milliseconds of dynamics of the β2 adrenergic receptor — a major drug target G protein-coupled receptor (GPCR) and provides an atomistic description of the activation of a GPCR, revealing multiple activation pathways.
Journal ArticleDOI

MCPB.py: A Python Based Metal Center Parameter Builder

TL;DR: MCPB.py, a python based metal center parameter builder, has been developed to build force fields for the simulation of metal complexes employing the bonded model approach with an optimized code structure, with far fewer required steps.
Journal ArticleDOI

Crystal structures of agonist-bound human cannabinoid receptor CB1

TL;DR: The structures reveal important insights into the activation mechanism of CB1 and provide a molecular basis for predicting the binding modes of Δ9-THC, and endogenous and synthetic cannabinoids and should inspire the design of chemically diverse ligands with distinct pharmacological properties.
References
More filters
Journal ArticleDOI

VMD: Visual molecular dynamics

TL;DR: VMD is a molecular graphics program designed for the display and analysis of molecular assemblies, in particular biopolymers such as proteins and nucleic acids, which can simultaneously display any number of structures using a wide variety of rendering styles and coloring methods.
Journal ArticleDOI

The Protein Data Bank

TL;DR: The goals of the PDB are described, the systems in place for data deposition and access, how to obtain further information and plans for the future development of the resource are described.
Journal ArticleDOI

Scalable molecular dynamics with NAMD

TL;DR: NAMD as discussed by the authors is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems that scales to hundreds of processors on high-end parallel platforms, as well as tens of processors in low-cost commodity clusters, and also runs on individual desktop and laptop computers.
Journal ArticleDOI

GROMACS 4: Algorithms for highly efficient, load-balanced, and scalable molecular simulation

TL;DR: A new implementation of the molecular simulation toolkit GROMACS is presented which now both achieves extremely high performance on single processors from algorithmic optimizations and hand-coded routines and simultaneously scales very well on parallel machines.
Related Papers (5)