[PyMOL] Incentive PyMOL v1.4 Released

[Jason V. <jas...@sc...>]

Greetings,

I'm delighted to announce that the Incentive build of PyMOL v1.4
has been released. Current subscribers can download the binaries
for Windows, Mac and Linux from http://pymol.org/dsc/ip and
access documentation and videos from
http://pymol.org/dsc/dokuwiki/doku.php?id=media:new14.

As you will see, the PyMOL builds are much larger. This is
because we're shipping a newer and much fuller version of Python,
optimized libraries for map generation, and chemistry libraries
for the new stereochemical labeling and atom typing.

Here's the Incentive PyMOL v1.4 feature list:

• New 64-bit MacPyMOL allows Mac users to access more than 4 GB
  of memory

• Volume visualization for unique display of volumetric data and
  simultaneous visualization of multiple iso-surfaces (see
  http://pymol.org/volume)

• Electron density map generation from reflection data (Mac and
  Linux only, Windows coming soon)

• Stereochemical labeling

• Improved Atom Typing; SYBYL/MOL2 and MacroModel support

• OpenGL Shaders (GLSL) for improved on-screen rendering
  (cartoons, sticks, surfaces, volumes).

• Dynamic measurements (distances, bond angles and dihedral
  angles)

• File > Save Molecule now allows saving of multiple files,
  multi-state PDBs to a single file, and multi-state PDBs to
  multiple files

• Improved State Handling makes operations on multi-state objects
  easier

• Built using updated and Schrödinger-compatible distribution of
  Python (v2.7).

• PyMOL Web GUI (PWG)

• Several bug fixes

Many of these features are already in the open-source code.
Within the next few weeks, we will put the volume visualization and
shaders into the open-source code. Stereochemical labeling and map
generation are not in the open-source project, but we are working on
adding them to the open-source project.

I will send an update soon when the volume visualization is in the
open-source code.

Cheers,

-- Jason

-- 
Jason Vertrees, PhD
PyMOL Product Manager
Schrodinger, LLC

(e) Jas...@sc...
(o) +1 (603) 374-7120