#!/usr/bin/python # # ###################################################### # This script for IL prediction # # # # Version 1.0 date c: 15/12/09 # # date m: 15/12/09 # # LUU Tien Dao (c) 2009-2012 IGBMC # ####################################################### print "Content-Type: text/html\n\n" from libtools import files,dbpsycopg, system, images import html global cs, csystem csystem = system.system() cs = system.server() db = dbpsycopg.postgres(system.db.MS2PH_DB,"user") db.connect() def select_amino_acids(id): htmlcode = """""" % (id,id) return htmlcode print """ ILP prediction""" print """\n """ % (cs.PATH_CSS,cs.PATH_HTML) print """\n""" % (cs.PATH_IMG,cs.PATH_IMG) html.menu() print """

Inductive Logic Programming Prediction

Uniprot Accession number (e.g Q13496)
Wild type residue %s
Position
Mutant residue %s

""" % (system.db.MS2PH_DB, select_amino_acids('wt'), select_amino_acids('mut'), cs.serv) print """

List of ILP rules

References:

T.D. Luu, N.H. Nguyen, A. Friedrich, J. Muller, L. Moulinier, O. Poch (2010) Discovering knowledge hidden in mutation data using Inductive Logic Programming. Manuscript in submission.
[Supplementary material]

A. Friedrich, N. Garnier, N. Gagniere, N.H. Nguyen, L.P. Albou, V. Biancalana, E. Bettler, G. Deleage, O. Lecompte, J. Muller, D. Moras, J.L. Mandel, T. Toursel, L. Moulinier, O. Poch (2010), SM2PH-db: an interactive system for the integrated analysis of phenotypic consequences of missense mutations in proteins involved in human genetic diseases. Human Mutation, 31: 127-135. doi: 10.1002/humu.21155

N. Bard, R. Bolze, E. Caron, F. Desprez, M. Heymann, A. Friedrich, L. Moulinier, N.H. Nguyen, O. Poch, T. Toursel (2010) Decrypthon grid - grid resources dedicated to neuromuscular disorders, Stud Health Technol Inform, 159, 124-133.

""" html.footbar() db.disconnect() print "" print ""