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suitenamedefs.py
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import suiteninit
import numpy as np
from numpy import array
from enum import Enum
# reasons why a suite may fail to be classified:
Issue = Enum('Issue', 'DELTA_M EPSILON_M ZETA_M ALPHA BETA GAMMA DELTA')
reasons = {
Issue.DELTA_M: "delta-1",
Issue.EPSILON_M: "epsilon-1",
Issue.ZETA_M: "zeta-1",
Issue.ALPHA: "alpha",
Issue.BETA: "beta",
Issue.GAMMA: "gamma",
Issue.DELTA: "delta"
}
failMessages = {
Issue.DELTA_M: "bad deltam",
Issue.GAMMA: "g out",
Issue.DELTA: "bad delta"
}
# primary (coarse grained) classification of suites
class Bin:
# permanence properties
name = ""
ordinal = 0
cluster = ()
# a tuple of cluster objects
dominant = -1
# statistics gathered during the run
count = 0
active = False
def __init__(self, ordinal, name, clusters=()):
self.ordinal = ordinal
self.name = name
self.cluster = clusters
self.dominant = -1
self.active = False
for i, c in enumerate(clusters):
if c.dominance == "dom":
self.dominant = i
break
# secondary (fine grained) classification of suite
class Cluster:
# intrinsic data:
ordinal = 0 # its place in the bin
name = "" # the name of the cluster
status = "" # certain, wannabe, triaged, outlier, nothing, incomplete
clusterColor = "" # kinemage color names
dominance = "" # dom, sat, ord, out, tri, inc
satelliteInfo = None # present only if this cluster is a satellite
# tuple of 9 angles: chi-1 as 0 and chi as 8
# the standard 7 angles are indices 1-7:
angle = ()
# gathered statistics:
count = 0 # number of data points found in this cluster
suitenessSum = 0
suitenessCounts = None
def __init__(self, ordinal, name, status, color, dominance, angles):
self.ordinal = ordinal
self.name = name
self.LOK = (name != "!!")
self.status = status
self.clusterColor = color
self.dominance = dominance
self.angle = array(angles)
if self.dominance == "sat":
self.satelliteInfo = suiteninit.getSatelliteInfo(name)
else:
self.satelliteInfo = None
self.suitenessCounts = np.zeros(12)
self.suitenessSum = 0
class SatelliteInfo:
# numbers used when suite is between satellite and dominant centers
name = ""
satelliteWidths = () # vector of 9 angles
dominantWidths = () # vector of 9 angles
def __init__(self, name, satelliteWidths, dominantWidths):
self.name = name
self.satelliteWidths = satelliteWidths
self.dominantWidths = dominantWidths
class Residue:
'''
# A residue as normally read in, consisting of its six dihedral angles
Used only briefly as input.
'''
pointIDs = []
base = " " # A, C, G, U, ...
angle = np.empty(0) # will have 6 or 7 elements
def __init__(self, ID, base, angles):
self.pointIDs = ID
self.base = base
self.angle = angles
self.unpackAngles()
def unpackAngles(self):
pass
# nicknames: for ease of reading the code, each angle is given
# a meaningful alias. Here they are:
# 0 alpha
# 1 beta
# 2 gamma
# 3 delta
# 4 epsilon
# 5 zeta
# 7 chi
@property
def alpha(self):
return self.angle[0]
@alpha.setter
def alpha(self, value):
self.angle[0] = value
@property
def beta(self):
return self.angle[1]
@beta.setter
def beta(self, value):
self.angle[1] = value
@property
def gamma(self):
return self.angle[2]
@gamma.setter
def gamma(self, value):
self.angle[2] = value
@property
def delta(self):
return self.angle[3]
@delta.setter
def delta(self, value):
self.angle[3] = value
@property
def epsilon(self):
return self.angle[4]
@epsilon.setter
def epsilon(self, value):
self.angle[4] = value
@property
def zeta(self):
return self.angle[5]
@zeta.setter
def zeta(self, value):
self.angle[5] = value
@property
def chi(self):
return self.angle[6]
@chi.setter
def chi(self, value):
self.angle[6] = value
class Suite:
'''
The set of angles forming the linkage BETWEEN residues.
This is the core data structure used in most operations of the program.
'''
pointID = ()
base = " " # A, C, G, U, ...
angle = np.empty(0) # will become an np.array of 9 angles
# fields computed during analysis:
cluster = None # The cluster to which it is assigned
suiteness = 0.0
distance = 0.0
notes = ""
pointMaster = ""
pointColor = ""
def __init__(self, ID, base, angles=None):
self.pointID = ID
self.base = base
if angles is None:
self.angle = np.full(9, 0.0)
else:
self.angle = angles
self.suiteness = 0.0
self.distance = 0.0
self.notes = ""
def validate(self):
# make sure that angles deltaMinus through delta are reasonable
for i in range(1, 8):
if self.angle[i] < 0 or self.angle[i] > 360:
return False
return True
# nicknames: for ease of reading the code, each angle is given
# a meaningful alias. Here they are:
# 0 chiMinus
# 1 deltaMinus
# 2 epsilon
# 3 zeta
# 4 alpha
# 5 beta
# 6 gamma
# 7 delta
# 8 chi
@property
def chiMinus(self):
return self.angle[0]
@chiMinus.setter
def chiMinus(self, value):
self.angle[0] = value
@property
def deltaMinus(self):
return self.angle[1]
@deltaMinus.setter
def deltaMinus(self, value):
self.angle[1] = value
@property
def epsilon(self):
return self.angle[2]
@epsilon.setter
def epsilon(self, value):
self.angle[2] = value
@property
def zeta(self):
return self.angle[3]
@zeta.setter
def zeta(self, value):
self.angle[3] = value
@property
def alpha(self):
return self.angle[4]
@alpha.setter
def alpha(self, value):
self.angle[4] = value
@property
def beta(self):
return self.angle[5]
@beta.setter
def beta(self, value):
self.angle[5] = value
@property
def gamma(self):
return self.angle[6]
@gamma.setter
def gamma(self, value):
self.angle[6] = value
@property
def delta(self):
return self.angle[7]
@delta.setter
def delta(self, value):
self.angle[7] = value
@property
def chi(self):
return self.angle[8]
@chi.setter
def chi(self, value):
self.angle[8] = value