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coot/python/exercise_python_mol.py at main · pemsley/coot · GitHub
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coot
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python
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exercise_python_mol.py
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coot
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python
/
exercise_python_mol.py
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a_molecule
=
[
# a list of models
[
# a list of chains
[
"A"
,[
[
1081
,
""
,
"ASN"
,[
[[
" O "
,
""
],
[
1.0
,
22.87
,
" O"
],
[
0.287
,
20.822
,
40.742
]],
[[
" C "
,
""
],
[
1.0
,
22.17
,
" C"
],
[
0.303
,
20.8649
,
39.5379
]],
[[
" ND2"
,
""
],
[
1.0
,
29.17
,
" N"
],
[
1.363
,
16.5869
,
37.908
]],
[[
" OD1"
,
""
],
[
1.0
,
32.810001373291
,
" O"
],
[
2.877
,
18.049
,
38.597
]],
[[
" CG "
,
""
],
[
1.0
,
27.4
,
" C"
],
[
1.711
,
17.676
,
38.529
]],
[[
" CB "
,
""
],
[
1.0
,
24.58
,
" C"
],
[
0.547
,
18.528
,
39.102
]],
[[
" CA "
,
""
],
[
1.0
,
23.18
,
" C"
],
[
0.657
,
19.99
,
38.7
]],
[[
" N "
,
""
],
[
1.0
,
22.87
,
" N"
],
[
0.531
,
20.0909
,
37.2929
]]]
],
[
1082
,
""
,
"GLN"
,[
[[
" O "
,
""
],
[
1.0
,
19.223
,
" O"
],
[
0.419
,
24.068
,
39.868
]],
[[
" C "
,
""
],
[
1.0
,
20.54
,
" C"
],
[
1.431
,
23.549
,
40.3401
]],
[[
" NE2"
,
""
],
[
1.0
,
14.77
,
" N"
],
[
5.637
,
22.1359
,
39.458
]],
[[
" OE1"
,
""
],
[
1.0
,
25.2299
,
" O"
],
[
5.2859
,
23.3729
,
41.34
]],
[[
" CD "
,
""
],
[
1.0
,
25.7
,
" C"
],
[
5.08
,
23.136
,
40.01
]],
[[
" CG "
,
""
],
[
1.0
,
19.98
,
" C"
],
[
4.176
,
24.007
,
39.253
]],
[[
" CB "
,
""
],
[
1.0
,
21.63
,
" C"
],
[
3.038
,
23.178
,
38.604
]],
[[
" CA "
,
""
],
[
1.0
,
20.56
,
" C"
],
[
2.118
,
22.47
,
39.593
]],
[[
" N "
,
""
],
[
1.0
,
21.99
,
" N"
],
[
1.156
,
21.65
,
38.894
]]]
]
]
# end of chain A content
]
# end of chain A
]
# end of list of chains
]
# end of list of models
# Return a python_mol
#
#
#
def
jiggled_mol
(
reference_mol
,
current_mol
,
traj_frac
):
def
jiggle_random
():
import
random
return
(
random
.
random
()
-
0.5
)
def
jiggled_pos
(
ref_pos
,
current_pos
):
if
(
traj_frac
<
0
):
# magic value
# make a starting set of coords
return
map
(
lambda
x1
:
jiggle_random
()
*
1.0
+
x1
,
ref_pos
)
else
:
q
=
1
-
traj_frac
return
map
(
lambda
x
,
x_ref
:
traj_frac
*
x_ref
+
q
*
x
+
0.4
*
q
*
jiggle_random
(),
current_pos
,
ref_pos
)
def
jiggled_atom
(
ref_atom
,
current_atom
):
ref_pos
=
ref_atom
[
2
]
cur_pos
=
current_atom
[
2
]
ret
=
[
ref_atom
[
0
],
ref_atom
[
1
],
jiggled_pos
(
ref_pos
,
cur_pos
)]
return
ret
def
jiggled_residue
(
ref_res
,
cur_res
):
ret
=
[
ref_res
[
0
],
ref_res
[
1
],
ref_res
[
2
],
map
(
jiggled_atom
,
ref_res
[
3
],
cur_res
[
3
])]
return
ret
def
jiggled_chain
(
ref_chain
,
cur_chain
):
ret
=
[
ref_chain
[
0
],
map
(
jiggled_residue
,
ref_chain
[
1
],
cur_chain
[
1
])]
return
ret
def
jiggled_model
(
ref_model
,
cur_model
):
ret
=
map
(
jiggled_chain
,
ref_model
,
cur_model
)
return
ret
j_mod
=
map
(
jiggled_model
,
reference_mol
,
current_mol
)
return
j_mod
#
def
disrupt
(
reference_mol
,
biggness
):
ret
=
jiggled_mol
(
reference_mol
,
reference_mol
,
-
1
)
return
ret
#
max_count
=
5000.0
mol_no
=
add_molecule
(
a_molecule
,
"test molecule"
)
if
(
not
mol_no
==
-
1
):
set_rotation_centre
(
*
centre_of_mass
(
mol_no
))
for
count
in
range
(
int
(
max_count
)
+
1
):
current_mol
=
disrupt
(
a_molecule
,
0.8
)
new_mol
=
jiggled_mol
(
a_molecule
,
current_mol
,
count
/
max_count
)
#print "cycle ", count, count/max_count, max_count
clear_and_update_molecule
(
mol_no
,
new_mol
)
# gtk stuff
if
gtk
.
events_pending
():
gtk
.
main_iteration
(
False
)
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