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Projet de classification de conformations de protéines par k-medoids
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nicolas-zimmermann 0017ab32fd added diss_mat.dat, obtained from Conformations.dissimilarity, long to compute 2019-09-18 14:41:28 +02:00
data added diss_mat.dat, obtained from Conformations.dissimilarity, long to compute 2019-09-18 14:41:28 +02:00
doc documentation for the kmedoid function from pyclustering 2019-09-17 23:42:18 +02:00
results changed projet8.py to a more OOP fashion, modified README 2019-09-16 22:29:51 +02:00
src changed yml file to generate env, added kmedoids lib, added citations file 2019-09-17 17:12:45 +02:00
README changed projet8.py to a more OOP fashion, modified README 2019-09-16 22:29:51 +02:00

README

Make sure your current directory is projet_court_nz

Environment

1 - Recreate the conda environment with the config_projet.yml file avaible in the src repository 
	$ conda env create -f src/config_projet.yml
2 - Activate the generated environment
	$ conda activate projet-court

toy-example:
md.pdb contains structural information of 501 conformations of the calf-1 domain

3 - try the program on md.pdb
	$ python3 src/projet8 data/md.pdb 

Informations:

The pdb was obtained from .trr and .gro files available online (http://www.dsimb.inserm.fr/~tmp/DM_Calf-1_WT_production_long1.tar.gz)
pbd was generated using gromacs :
	$ trjconv -f md.trr -s md -o md.pdb