diff --git a/prody/utilities/checkers.py b/prody/utilities/checkers.py
index 16cea72c3..6ffdf4858 100644
--- a/prody/utilities/checkers.py
+++ b/prody/utilities/checkers.py
@@ -2,7 +2,7 @@
 
 from numpy import any, float32, tile
 
-__all__ = ['checkCoords', 'checkWeights', 'checkTypes', 'checkAnisous']
+__all__ = ['checkCoords', 'checkWeights', 'checkTypes']
 
 COORDS_NDIM = set([2])
 CSETS_NDIMS = set([2, 3])
@@ -137,55 +137,3 @@ def incr(n, i):
     return True
 
 A_CSETS_NDIMS = set([2, 6])
-
-def checkAnisous(anisous, csets=False, natoms=None, dtype=(float, float32),
-                name='anisous'):
-    """Returns **True** if shape, dimensionality, and data type of *anisous*
-    array are as expected.
-
-    :arg anisous: anisous array
-
-    :arg csets: whether multiple coordinate sets (i.e. ``.ndim in (2, 3)``) are
-        allowed, default is **False**
-
-    :arg natoms: number of atoms, if **None** number of atoms is not checked
-
-    :arg dtype: allowed data type(s), default is ``(float, numpy.float32)``,
-        if **None** data type is not checked
-
-    :arg name: name of the coordinate argument
-
-    :raises: :exc:`TypeError` when *anisous* is not an instance of
-        :class:`numpy.ndarray`
-
-    :raises: :exc:`ValueError` when wrong shape, dimensionality, or data type
-        is encountered"""
-
-    try:
-        ndim, shape = anisous.ndim, anisous.shape
-    except AttributeError:
-        raise TypeError('anisous must be a numpy.ndarray instance')
-
-    ndims = A_CSETS_NDIMS if csets else COORDS_NDIM
-    if ndim not in ndims:
-        raise ValueError(str(name) + '.ndim must be ' +
-                         ' or '.join([str(d) for d in ndims]))
-
-    elif shape[-1] != 6:
-        raise ValueError(str(name) + '.shape[-1] must be 6')
-
-    elif natoms and shape[-2] != natoms:
-        raise ValueError(str(name) + '.shape[-2] must match number of atoms')
-
-    elif dtype:
-        if isinstance(dtype, type) and anisous.dtype != dtype:
-            raise ValueError(str(name) + '.dtype must be ' + dtype.__name__)
-        elif anisous.dtype not in dtype:
-            if len(dtype) > 1:
-                msg = ', '.join([repr(dt.__name__) for dt in dtype[:-1]]
-                                ) + ', or ' + repr(dtype[-1].__name__)
-            else:
-                msg = dtype[0].__name__
-            raise ValueError(str(name) + '.dtype must be ' + msg)
-
-    return True