def predictor_info(method):
"""
Get all the information about a particular predictor/method from Fred2
"""
predictor = EpitopePredictorFactory(method)
try:
is_in_path = predictor.is_in_path()
except:
is_in_path = None
try:
command = predictor.command
except:
command = None
method_hash = {
"syfpeithi": "T-cell epitope",
"bimas": "MHC-I binding",
"svmhc": "MHC-I binding",
"arb": "MHC-I binding",
"smm": "MHC-I binding",
"smmpmbec": "MHC-I binding",
"epidemix": "MHC-I binding",
"comblib": "MHC-I binding",
"comblibsidney": "MHC-I binding",
"pickpocket": "MHC-I binding",
"netmhc": "MHC-I binding",
"netmhcpan": "MHC-I binding",
"hammer": "MHC-II binding",
"tepitopepan": "MHC-II binding",
"netmhcii": "MHC-II binding",
"netmhciipan": "MHC-II binding",
"unitope": "T-cell epitope",
"netctlpan": "T-cell epitope",
}
retdict = {
"is_in_path": is_in_path,
"name": method,
"supportedAlleles": predictor.supportedAlleles,
"supportedLength": predictor.supportedLength,
"command": command,
"version": predictor.version,
"type": method_hash.get(method)
}
return retdict
