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schrodinger 命令行处理超大化合物库

已有 5069 次阅读 2017-1-2 14:25 |系统分类:科研笔记

windows中可以通过 schrodinger command prompt 或者schrodinger powershell来导出schrodinger的环境;

linux 下可以通过run 这个命令来代替python,从而导入schrodinger 环境。

[gaussian@R910D1 1spx_dock_SP_1]$ run /home/gaussian/Schrodinger_2015_installed/mmshare-v30010/python/common/glide_blocksort.py
usage: glide_blocksort.py [-h] [-xp] [-idprop IDPROP] [-intraprop INTRAPROP]
                         [-maxlig MAXLIG] [-maxppl MAXPPL] [-verbose]
                         infile outfile
glide_blocksort.py: error: too few arguments
[gaussian@R910D1 1spx_dock_SP_1]$ which run
~/Schrodinger_2015_installed/run
[gaussian@R910D1 1spx_dock_SP_1]$ which glide
~/Schrodinger_2015_installed/glide





当化合物库超过100w个的时候,再使用图形界面,就会出现卡顿现象。可以尝试使用命令行。

命令行:

- 拷贝属性

- 选择打分最高的构象glide_blocksort.py

What can I use the Select Top Poses script for?
When you have docking results that include multiple poses per compound, the "Select Top Poses" GUI script can be used to reduce the results to just the top M results per compound, with a maximum of N total poses. For example, you might have chosen to write out more than one pose per ligand, or the original compounds may have been expanded into multiple states by LigPrep. The GUI runs the utility glide_ensemble_merge to do the pose reduction. For the purpose of this script, poses with the same structure title are assumed to be the same ligand or compound, while poses with different titles are assumed to be different ligands or compounds.

A related command-line script is glide_blocksort.py, which is available from the Script Center. The main differences with 'Select Top Poses' are that glide_blocksort.py (1) allows specification of a property other than the title for identifying compounds, (2) sorts all the results into compound blocks (i.e., the input poses don't have to be pre-sorted), and (3) can limit the total number of compounds reported, rather than the total number of poses.








schrodinger python 命令行 API手册

http://content.schrodinger.com/Docs/r2016-2/python_api/intro.html#running-schrodinger-scripts



https://blog.sciencenet.cn/blog-950202-1024913.html

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