コード例 #1
0
    #    resultfile = "C:\Users\ludov\OneDrive\Documents\\backupC4DHiv\sphere139_random_127_tr.json"
    n = "HIV_VLP"
h = Environment(name=n)
h.loadRecipe(setupfile)
h.setupfile = filename
if resultfile is not None:
    h.resultfile = resultfile
fileName, fileExtension = os.path.splitext(setupfile)
rfile = h.resultfile
resultfilename = autopack.retrieveFile(rfile, cache="results")
if resultfilename is None:
    print("no result for " + n + " " + h.version + " " + rfile)
    sys.exit()
print("get the result file from ", resultfilename)
h.compartments[0].name = "HIVenvelop_140"
result, orgaresult, freePoint = h.loadResult(resultfilename=resultfilename)
#                                             restore_grid=False,backward=True)#load text ?#this will restore the grid
ingredients = h.restore(result, orgaresult, freePoint)
#export the complete recipe as collada. each ingredient -> meshnode. Each instance->node instance
env = h
cxml = build_scene(
    env,
    "C:\Users\ludov\Google Drive\TSRI HIV Modeling\cellpack_models\HIV_VLP_140_214_random.dae"
)
#execfile("pathto/export_recipe_collada.py")
#I usually run this on with pmv,anaconda or mayapy

#execfile("/Users/ludo/DEV/git_upy/examples/export_collada.py")
#import upy
#helper = upy.getHelperClass()()
#helper.read("/Users/ludo/DEV/autopack_git/autoPACK_database_1.0.0/geometries/HIV1_capside_3j3q_Rep_Med_0_2_1.dae")
コード例 #2
0
    h.setupfile = filename
    if resultfile is not None:
        h.resultfile = resultfile
    fileName, fileExtension = os.path.splitext(setupfile)
    if export_json:
        print("expot json recipe ", fileName)
        h.saveRecipe(fileName + ".json", useXref=useXref, indent=True)
    if check_result:
        rfile = h.resultfile
        resultfilename = autopack.retrieveFile(rfile, cache="results")
        if resultfilename is None:
            print("no result for " + n + " " + h.version + " " + rfile)
            sys.exit()
        print("get the result file from ", resultfilename)
        result, orgaresult, freePoint = h.loadResult(
            resultfilename=resultfilename, restore_grid=False,
            backward=True)  #load text ?#this will restore the grid
        ingredients = h.restore(result, orgaresult, freePoint)
#        print ("json ?",h.result_json)
#        if export_json :
#            fileName, fileExtension = os.path.splitext(resultfilename)
#            h.store_asJson(n+"_result.json",indent=False)#fileName+"1.json",indent=False)
#            print ("ok ",n+"_result.json",fileName+".json")
    if mixedJson and export_json:
        #special case for HIV
        import json
        import numpy
        if HIV:
            with open("/home/ludo/biomthiv.json",
                      'r') as fp:  #doesnt work with symbol link ?
                jsondic = json.load(fp)  #,indent=4, separators=(',', ': ')
コード例 #3
0
autopack.helper = helper

from autopack.Environment import Environment

filename = "/home/ludo/hivexp/BloodHIV1.0.json"
#filename ="/home/ludo/hivexp/HIVimature1.0.json"
fileName, fileExtension = os.path.splitext(filename)
n = os.path.basename(fileName)
h = Environment(name=n)
#h.helper = helper
recipe = n
h.loadRecipe(filename)
#previousresult = "/home/ludo/hivexp/BloodHIV1.0_mixed.json"
#previousresult = "/home/ludo/hivexp/BloodHIV1.0_centered.json"
previousresult = "/home/ludo/hivexp/BloodHIV1.0_mixed_tr.json"
r = h.loadResult(previousresult, transpose=True)  #
ingredients = h.restore(*r)

from autopack.lipids import lipidsCG
#generate the membrane
lcg = lipidsCG()
comp = h.compartments[0]
lcg.coverShape(comp.vertices, comp.vnormals)
#remove lipids overlaping
posrot = lcg.arrayOfBeads
#save again with lipids ?

#fix HIV1_CA_mono_0_1_0
#center is [405.609,1000.253,377.306]
# if apply the center on all instance ? meanings rotate the center and apply it
コード例 #4
0
# save a full recipe no Xref
#"nbMol": nbmol,
#"molarity" : ingr.molarity,
#"source": ingr.source,
#"positions":ingr.positions,
#"radii":ingr.radii}

rname = workingdir + "recipes\\BloodHIVMycoRB_full.1.0.json"
rname = workingdir + "recipes\\Mycoplasma1.7.json"
rname = workingdir + recipefile
#h.saveRecipe(rname,useXref=False,mixed=True,
#                     kwds=["source","name","nbMol","molarity","positions","radii"],result=True,
#                   grid=False,packing_options=False,indent=False,quaternion=True)
if resultfile != "":
    r = h.loadResult(resultfile, transpose=transpose)  #for c4d transpose
    ingredients = h.restore(*r)
    h.saveRecipe("D:\\Data\\cellPACK_data\\Mycoplasma\\Mpn_Results_H_1.json",
                 useXref=False,
                 mixed=True,
                 kwds=["source", "name"],
                 result=True,
                 transpose=True,
                 grid=False,
                 packing_options=False,
                 indent=False,
                 quaternion=True)
    h.saveRecipe("D:\\Data\\cellPACK_data\\Mycoplasma\\Mpn_Results_H_2.json",
                 useXref=False,
                 mixed=True,
                 kwds=["source", "name"],
コード例 #5
0
from autopack import transformation as tr

import numpy as np

filename = "/home/ludo/hivexp/HIVimature1.0.json"
fileName, fileExtension = os.path.splitext(filename)
n = os.path.basename(fileName)
h = Environment(name=n)
#h.helper = helper
recipe = n
h.loadRecipe(filename)
h.smallestProteinSize = 40

resultfilename = h.resultfile = "/home/ludo/hivexp/hivfull"
previousresult = "/home/ludo/hivexp/HIVimature_results.json"
r = h.loadResult("/home/ludo/hivexp/HIVimature_results.json",
                 transpose=False)  #
#ingredients = h.restore(*r)

#env is 0:6
#if need to offset ENV thats here.
#gag is 6:
#every 4th gag try to place gag_pol
#could try to rotate around a point
mrot = []
angle = 0
for i in range(6):
    m = tr.rotation_matrix(math.radians(angle), [0, 0, 1],
                           point=[5.841, -1.458, 133.803])
    mrot.append(m)
    angle += 60
#tr.rotation_matrix(math.radians(60), [0,0,1], point=[5.841,-1.458,-133.803])
コード例 #6
0
ファイル: blood_bd.py プロジェクト: feihln/autoPACK
#h.loopThroughIngr(setNB)
#h.loopThroughIngr(setNB)
#h.loopThroughIngr(setNB)
#
#h.exteriorRecipe.ingredients[0].nbMol=2
#h.exteriorRecipe.ingredients[0].overwrite_nbMol_value=1
#
#h.exteriorRecipe.ingredients[1].nbMol=2
#h.exteriorRecipe.ingredients[1].overwrite_nbMol_value=1
#
#h.exteriorRecipe.ingredients[2].nbMol=2
#h.exteriorRecipe.ingredients[2].overwrite_nbMol_value=1

#h.fill5(verbose = 0,usePP=False)

r=h.loadResult(rname,transpose=True)#)# or not ?
ingredients = h.restore(*r)
#
h.collectResultPerIngredient()

h.saveRecipe(path+"smallblood_results_tr.json",useXref=True,mixed=True,kwds=["source","name"],result=True,grid=False,packing_options=False,indent=False,quaternion=True)
#h.exportToBD_BOX(res_filename=path+"test_tr",bd_type="rigid")#transpose ?
from autopack.bd_box import rigid_box as bd_box            
res_filename = path+"test_tr"
bd=bd_box(res_filename,bounding_box=h.boundingBox)
bd.offset = [0,0,0]
#bd.params["xbox"]["value"]=4000.0
#bd.params["ybox"]["value"]=4000.0
#bd.params["zbox"]["value"]=4000.0
bd.makePrmFile()
r =  h.exteriorRecipe
コード例 #7
0
    helperClass = upy.getHelperClass()
    helper = helperClass(vi="nogui")
autopack.helper = helper

from autopack.Environment import Environment
filename = "/home/ludo/hivexp/BloodHIV1.0.json"
#filename ="/home/ludo/hivexp/HIVimature1.0.json"
fileName, fileExtension = os.path.splitext(filename)
n = os.path.basename(fileName)
h = Environment(name=n)
#h.helper = helper
recipe = n
h.loadRecipe(filename)
#previousresult = "/home/ludo/hivexp/BloodHIV1.0_mixed.json"
previousresult = "/home/ludo/hivexp/BloodHIV1.0_centered.json"
r = h.loadResult(previousresult, transpose=False)  #
ingredients = h.restore(*r)

#fix HIV1_CA_mono_0_1_0
#center is [405.609,1000.253,377.306]
# if apply the center on all instance ? meanings rotate the center and apply it

#h.saveRecipe("/home/ludo/hivexp/BloodHIV1.0_noref.json",useXref=False,mixed=True,result=False,grid=False,packing_options=True,indent=True,quaternion=True)

h.saveRecipe("/home/ludo/hivexp/BloodHIV1.0_mixed_tr.json",
             useXref=True,
             mixed=True,
             kwds=["source", "name"],
             result=True,
             grid=False,
             packing_options=False,