mmLib.PDB.CONECT

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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Type CONECT

__slots__

slots