Open3DQSAR 2.24 freeware

Open3DQSAR is an open-source tool aimed at pharmacophore exploration by high-throughput chemometric analysis of molecular interaction fields (MIFs). Open3DQSAR can generate steric potential, electron density and MM/QM electrostatic potential fields; furthermore, it can import GRIDKONT binary files produced by GRID and CoMFA/CoMSIA fields (exported from SYBYL with the aid of a small SPL script). ...

Author Paolo Tosco
Released 2013-06-20
Filesize 1.01 MB
Downloads 573
OS Windows XP, Windows Vista, Windows 7
Installation Instal And Uninstall
Keywords chemometric analysis, analyze MIF, pharmacophore exploration, MIF, analysis, chemometry
Users' rating
(13 rating)
Open3DQSARCADWindows XP, Windows Vista, Windows 7
Open3DQSAR - model model Freeware Download Notice

Open3DQSAR Free Download - we do not host any Open3DQSAR torrent files or links of Open3DQSAR on rapidshare.com, depositfiles.com, megaupload.com etc. All Open3DQSAR download links are direct Open3DQSAR download from publisher site or their selected mirrors.

Open3DQSAR freeware - The Latest User Reviews
Open3DQSAR freeware - The Latest Versions History
2.24 Jun 20, 2013 New Release · A bug which caused abrupt program exit when PyMOL was closed while Open3DQSAR was still running was fixed
· Linking against libminizip is now optional
2.23 Jan 25, 2013 New Release · A bug in the import type=DEPENDENT keyword which caused an error message whenever attempting to import multiple dependent variables was fixed
2.22 Jan 4, 2013 New Release · The new type=MOE_GRID parameter was added to the prepare keyword to allow preparing a shape vector for the computation of interaction potentials within MOE using the same grid box settings as defined in Open3DQSAR
· The new type=MOE_GRID parameter was added to the import keyword to allow importing in Open3DQSAR the interaction potential grids computed within MOE
· The WriteMOEGRID.svl SVL script has been added to the util folder
· Minor bugfixes all over

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... generate and challenge the predictivity of many 3D-QSAR models using different training/test set combinations, superposition schemes, variable ... implementation of parallelized algorithms for MIF generation, PLS model building and validation, variable selection. FEATURES: ...

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... generate and challenge the predictivity of many 3D-QSAR models using different training/test set combinations, superposition schemes, variable ... implementation of parallelized algorithms for MIF generation, PLS model building and validation, variable selection. FEATURES: ...