for local files, apart from using load: load pdb1; load pdb2; load pdb3; load pdbN
there is another shortcut: you put all the PDB files you need to load in the fetch_path of pymol. To find out the current fetch_path, use command: get fetch_path Then you can simply load all pdb at once using: fetch pdb1 pdb2 pdb3 pdb4 pdbN On 06/29/2011 03:56 PM, Hongbo Zhu wrote: > would python module multiprocessing meet your need? > is that simultaneity the kind of simultaneity you want? > > On 06/29/2011 03:36 PM, leila karami wrote: >> Dear Hongbo >> >> very thanks for your attention. >> >> None of fetch 1A00 or 1A07 or 1A08 and fetch 1A00; fetch 1A07 does not >> help me. >> I need to load two separate pdb files simultaneously. >> >> >> >> >> ------------------------------------------------------------------------------ >> All of the data generated in your IT infrastructure is seriously valuable. >> Why? It contains a definitive record of application performance, security >> threats, fraudulent activity, and more. Splunk takes this data and makes >> sense of it. IT sense. And common sense. >> http://p.sf.net/sfu/splunk-d2d-c2 >> >> >> >> _______________________________________________ >> PyMOL-users mailing list ([email protected]) >> Info Page: https://lists.sourceforge.net/lists/listinfo/pymol-users >> Archives: http://www.mail-archive.com/[email protected] > -- Hongbo ZHU Postdoctoral Researcher Structural Bioinformatics Technische Universität Dresden Biotechnology Center Tatzberg 47/49 01307 Dresden, Germany Tel: +49 (0) 351 463-40083 Fax: +49 (0) 351 463-40087 E-Mail: hongbo.zhu at biotec Webpage: www.biotec.tu-dresden.de ------------------------------------------------------------------------------ All of the data generated in your IT infrastructure is seriously valuable. Why? It contains a definitive record of application performance, security threats, fraudulent activity, and more. Splunk takes this data and makes sense of it. IT sense. And common sense. http://p.sf.net/sfu/splunk-d2d-c2 _______________________________________________ PyMOL-users mailing list ([email protected]) Info Page: https://lists.sourceforge.net/lists/listinfo/pymol-users Archives: http://www.mail-archive.com/[email protected]
