Macs in Chemistry

Insanely Great Science

Easy Markdown Updated

 

I use markdown extensively on my websites and I try to keep a track of Markdown editors that are available. I noticed that Easy Markdown has just been updated, according to the release notes the update provides Improved opening of files encoded in various formats and a Bug fix.

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ScienceCloud mobile apps released

ScienceCloud is a secure, SaaS-based, mobile-enabled information management and collaboration environment that improves data and knowledge sharing for globally networked researchers. Bi-directional integration between ScienceCloud and existing on-premises systems lets life sciences organizations migrate to the cloud in a measured fashion, continuing to leverage critical legacy applications as long as needed.

Two mobile apps are now available ScienceCloud Projects and ScienceCloud Tasks.

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There are many more mobile science apps here

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Amber 14 and Amber 14 Tools released

 

Version 14 of the Amber software suite has been released (There was no "unlucky" Amber13.)

  • Force fields: Amber has two new fixed-charge protein force fields, ff14SB and ff14ipq, a new modular lipid force field, Lipid14, and updates to nucleic acid and carbohydrate force fields.
  • Improved options for self-guided Langevin dynamics and accelerated molecular dynamics, to enchance sampling along soft degrees of freedom.
  • A completely reorganized Reference Manual
  • QM/MM calculations can interface with a variety of external quantum chemistry programs, expanding the types of quantum models available
  • More features from sander have been added to pmemd for both CPU and GPU platforms, including performance improvements, and support for extra points, multi-dimension replica exchange, a Monte Carlo barostat, ScaledMD, Jarzynski sampling, explicit solvent constant pH, GBSA, and hydrogen mass repartitioning. Support is also included for the latest Kepler, Titan and GTX7xx GPUs.
  • Expanded methods are available for free energy calculations that change Hamiltonian models, including better procedures for appearing and disappearing atoms, and tighter integration with replica-exchange simulations, and a new absolute free energy method.
  • New facilities are present for using electron density maps (e.g. from cryo EM/ET experiments) as constraints, and to support rigid (or partially flexible) groups in simulations.

Amber Tools have also been updated.

Among the new features in AmberTools14:

  • The sander module, our workhorse simulation program, is now a part of AmberTools;
  • Greatly expanded and improved cpptraj program for analyzing trajectories;
  • new documentation and tools for inspecting and modifying Amber parameter files;
  • Improved workflow for setting up and analyzing simulations;
  • new capability for semi-empirical Born-Oppenheimer molecular dynamics;
  • EMIL: a new absolute free energy method using TI;
  • New Free Energy Workflow (FEW) tool automates free energy calculations (LIE, TI, and MM/PBSA-type calculations);
  • Completely reorganized Reference Manual
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Python, Chemistry and a Mac 1

 

After I posted the page on setting up a Mac for Cheminformatics I was asked if I could do something similar for writing chemistry (or Science in general) Python scripts on a Mac. So I’ve written a “How to” page on setting up your Mac to use the iPython notebook and write simple scripts that use Pybel to access OpenBabel.

The page is here Python, Chemistry and a Mac 1, and I’ll probably add more pages/scripts in the future.

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Porting of BUDE (Bristol University Docking Engine) to OpenCL.

 

A recently publication “High Performance in silico Virtual Drug Screening on Many-Core Processors” DOI describes porting BUDE (Bristol University Docking Engine) to OpenCL.

Our highly optimized OpenCL implementation of BUDE sustains 1.43 TFLOP/s on a single NVIDIA GTX 680 GPU, or 46% of peak performance. BUDE also exploits OpenCL to deliver effective performance portability across a broad spectrum of different computer architectures from different vendors, includ- ing GPUs from NVIDIA and AMD, Intel’s Xeon Phi and multi-core CPUs with SIMD instruction sets.

BUDE is now one the fastest HPC applications ever developed and nicely demonstrates the portability of OpenCL across different architectures.

There is a list of GPU accelerated applications here.

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