Large-scale SMILES Requesting and Fingerprints Converting: Difference between revisions
		
		
		
		
		
		Jump to navigation
		Jump to search
		
				
		
		
	
No edit summary  | 
				No edit summary  | 
				||
| Line 48: | Line 48: | ||
3) Create a zincid.sdi file  | 3) Create a zincid.sdi file  | ||
  ls /full/path/to/db_zincid/top(number).  |   ls /full/path/to/db_zincid/top(number)_*.zincid > zincid.sdi  | ||
4) Set up requesting files and directories  | 4) Set up requesting files and directories  | ||
Revision as of 00:08, 19 September 2017
Written by Jiankun Lyu, 20170918
The hierarchy of the directories:
smiles_requesting/----- working/ 
              |                |
              |                |------ extract_all.sort.uniq.txt file(soft link)
              |                | 
              |                |------ db_zincid/
              |                                                 
              |                                                 
              |
              ------- scripts/ ------ submit.csh
                              |
                              |------ make_chunks_for_file_new.py
                              |
                              |------ setup_converting_fps_files.py
                              |
                              |------ combine_smi_and_fp.py
                              |
                              |------ check_outputs.csh
This tutorial is for requesting a large number of SMILES for docking results from ZINC server. Usually, the number is larger than 5M ZINC IDs.
1) make directories and copy scripts
mkdir smiles_requesting cd smiles_requesting mkdir working mkdir scripts cd working mkdir db_zincid ln -s /path/to/extract_all.sort.uniq.txt cd ../scripts cp /mnt/nfs/home/jklyu/zzz.script/large_scale_docking/cluster_analysis/best_first_clustering/converting_fps/submit.csh . cp /mnt/nfs/home/jklyu/zzz.script/large_scale_docking/cluster_analysis/best_first_clustering/converting_fps/setup_converting_fps_files.py . cp /mnt/nfs/home/jklyu/zzz.script/large_scale_docking/cluster_analysis/best_first_clustering/converting_fps/combine_smi_and_fp.py . cp /mnt/nfs/home/jklyu/zzz.script/large_scale_docking/cluster_analysis/best_first_clustering/converting_fps/check_outputs.csh . cp /mnt/nfs/home/jklyu/zzz.script/large_scale_docking/cluster_analysis/best_first_clustering/converting_fps/make_chunks_for_file_new.py . cd ../
2) Get ZINC ID and energy columns from the extract_all.sort.uniq.txt file and split the zincid file
cd working/db_zincid
head -(number) ../extract_all.sort.uniq.txt | awk '{print $3" "$22}' > extract_all.top(number).sort.uniq.zincid.energy note: change number in the brackets
python ../../scripts/make_chunks_for_file_new.py extract_all.top(number).sort.uniq.zincid.energy top(number).zincid 500 .
cd ../
3) Create a zincid.sdi file
ls /full/path/to/db_zincid/top(number)_*.zincid > zincid.sdi
4) Set up requesting files and directories
python ../scripts/setup_converting_fps_files.py . converting_fps_ zincid.sdi 500 count
5) Submit requesting and converting jobs
csh ../scripts/submit.csh
6) Check if every job finishes
csh ../scripts/check_outputs.csh (number_of_jobs) (prefix) if you find any missing files, please edit dirlist in the working directory and resubmit them.
7) Collect data from the compressed files
cd db_zincid python ../../scripts/combine_smi_and_fp.py