Package mmLib :: Module PDB :: Class CONECT
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Type CONECT

object --+        
         |        
      dict --+    
             |    
     PDBRecord --+
                 |
                CONECT


The CONECT records specify connectivity between atoms for which coordinates are supplied. The connectivity is described using the atom serial number as found in the entry. CONECT records are mandatory for HET groups (excluding water) and for other bonds not specified in the standard residue connectivity table which involve atoms in standard residues (see Appendix 4 for the list of standard residues). These records are generated by the PDB.
Method Summary
    Inherited from PDBRecord
  __str__(self)
  read(self, line)
Read the PDB record line and convert the fields to the appropriate dictionary values for this class.
  reccat(self, rec_list, field)
Return the concatenation of field in all the records in rec_list.
  reccat_dictlist(self, rec_list, field, master_key)
  reccat_list(self, rec_list, field, sep)
Call reccat, then split the result by the seperator.
  reccat_multi(self, rec_list, primary_key, translations)
Create a list of dictionaries from a list of records.
  reccat_tuplelist(self, rec_list, field, sep1, sep2)
Call reccat_list with sep1 as the list seperator, then split the items into tuples by sep2.
  write(self)
Return a properly formed PDB record string from the instance dictionary values.
    Inherited from dict
  __init__(...)
x.__init__(...) initializes x; see x.__class__.__doc__ for signature
  __cmp__(x, y)
x.__cmp__(y) <==> cmp(x,y)
  __contains__(D, k)
D.__contains__(k) -> True if D has a key k, else False
  __delitem__(x, y)
x.__delitem__(y) <==> del x[y]
  __eq__(x, y)
x.__eq__(y) <==> x==y
  __ge__(x, y)
x.__ge__(y) <==> x>=y
  __getattribute__(...)
x.__getattribute__('name') <==> x.name
  __getitem__(x, y)
x.__getitem__(y) <==> x[y]
  __gt__(x, y)
x.__gt__(y) <==> x>y
  __hash__(x)
x.__hash__() <==> hash(x)
  __iter__(x)
x.__iter__() <==> iter(x)
  __le__(x, y)
x.__le__(y) <==> x<=y
  __len__(x)
x.__len__() <==> len(x)
  __lt__(x, y)
x.__lt__(y) <==> x<y
  __ne__(x, y)
x.__ne__(y) <==> x!=y
  __new__(T, S, ...)
T.__new__(S, ...) -> a new object with type S, a subtype of T
  __repr__(x)
x.__repr__() <==> repr(x)
  __setitem__(x, i, y)
x.__setitem__(i, y) <==> x[i]=y
  clear(D)
D.clear() -> None.
  copy(D)
D.copy() -> a shallow copy of D
  get(D, k, d)
D.get(k[,d]) -> D[k] if k in D, else d.
  has_key(D, k)
D.has_key(k) -> True if D has a key k, else False
  items(D)
D.items() -> list of D's (key, value) pairs, as 2-tuples
  iteritems(D)
D.iteritems() -> an iterator over the (key, value) items of D
  iterkeys(D)
D.iterkeys() -> an iterator over the keys of D
  itervalues(D)
D.itervalues() -> an iterator over the values of D
  keys(D)
D.keys() -> list of D's keys
  pop(D, k, d)
If key is not found, d is returned if given, otherwise KeyError is raised
  popitem(D)
2-tuple; but raise KeyError if D is empty
  setdefault(D, k, d)
D.setdefault(k[,d]) -> D.get(k,d), also set D[k]=d if k not in D
  update(...)
D.update(E, **F) -> None.
  values(D)
D.values() -> list of D's values
    Inherited from object
  __delattr__(...)
x.__delattr__('name') <==> del x.name
  __reduce__(...)
helper for pickle
  __reduce_ex__(...)
helper for pickle
  __setattr__(...)
x.__setattr__('name', value) <==> x.name = value
    Inherited from type
  fromkeys(dict, S, v)
v defaults to None.

Class Variable Summary
list __slots__ = []

Class Variable Details

__slots__

Type:
list
Value:
[]                                                                     

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