Talk:Poisson–Boltzmann profile for an ion channel
Add topicNotes for Oxonians
[edit source]General announcements
[edit source]This resource was used as part of the lecture and practical session on electrostatics calculations for the Wellcome Trust and Systems Biology Doctoral Training Centre postgraduate course on computational biochemistry, University of Oxford (Michaelmas 2007). The lecture is on WebLearn at http://tinyurl.com/282dfd (restricted access; a similar lecture without access restriction is in the resource near the top).
Feel free to go to lunch as soon as you have entered your result! I hope you all had fun. Please fill in the feedback form!
There will be no debrief session after lunch. But as the results come in to the table below, think about the possible sources of error and the general shape of the profile. See virtual debrief session below. To get in touch with me by email, look me up at University of Oxford contact search. – Kaihsu 12:40, 5 December 2007 (UTC)
APBS issues
[edit source]APBS is installed in /usr/apps/apbs-0.5.1-ia32/bin/apbs. You can make an alias for it in the bash shell:
alias apbs=/usr/apps/apbs-0.5.1-ia32/bin/apbs
Then just type apbs, followed by the parameters, to use it. Or, you can add it to your path (the environment variable PATH).
Use this input file: nAChR.in. Do not copy the input file from the PDF file: it is truncated!
PDB2PQR settings
[edit source]Use all the default settings on the PDB2PQR server: do not change anything! This ensures that your colleagues' results are comparable. In case PDB2PQR does not work, get this one from WebLearn: 1OED.pqr.
Results
[edit source]You might want to report your results here, in addition to plotting it with your colleagues:
x/Å | y/Å | z/Å | energy/kJ·mol−1 | name |
---|---|---|---|---|
65 | 65 | 15 | −0.018 | Sumeet |
65 | 65 | 30 | −0.065 | |
65 | 65 | 35 | −1.2747 | Phil |
65 | 65 | 40 | −0.357 | Ayse |
65 | 65 | 45 | −0.5045 | Maria |
65 | 65 | 50 | −1.205 | Gareth |
65 | 65 | 51.25 | −1.114 | Matt G |
65 | 65 | 53.75 | −2.880 | Matt G |
65 | 65 | 55 | −3.33 | Ahmed |
65 | 65 | 60 | 0.859 | |
65 | 65 | 65 | 23.76 | Kit |
65 | 65 | 66.25 | 26.82 | Seamus |
65 | 65 | 67.5 | 18.76 | Kit |
65 | 65 | 68.75 | 22.22 | Seamus |
65 | 65 | 70 | 20.41 | Anna |
65 | 65 | 72.5 | 28.60 | Anna |
65 | 65 | 75 | 25.45 | Alex |
65 | 65 | 80 | 20.00 | Armin |
65 | 65 | 82.5 | 21.94 | Sumeet |
65 | 65 | 85 | 24.15 | Sumeet |
65 | 65 | 87 | 6.36 | Yaseen |
65 | 65 | 90 | −9.64 | Marton |
65 | 65 | 95 | −12.8 | Ben |
65 | 65 | 100 | −9.49 | Ali |
65 | 65 | 105 | −3.79 | Muhan |
65 | 65 | 110 | −1.837 | |
65 | 65 | 115 | −0.95 | Christian |
65 | 65 | 117.5 | −0.84 | Christian |
65 | 65 | 120 | −0.47 | Christina |
65 | 65 | 125 |
Virtual debrief session
[edit source]If someone is keen, they can post a plot of the results (using gnuplot, xmgrace, or any other plotting software) as they come in.
What are the possible sources of error in this profile? How do we estimate the error? Has anybody tried to (carefully and knowledgeably) change the grid-point numbers?
What are the implications of this profile? (To start, which side is extracellular and which cytoplasmic? 30 Å or 120 Å?) Think the distinction between thermodynamics and kinetics.
We have a set of scripts in our lab to automate the pore-scanning process in parallel on a compute cluster. Get in touch if you would like to take a look (and possibly improve it!).
– Kaihsu 12:40, 5 December 2007 (UTC)
Code for automation
[edit source]I wrote some Python code to automate this process. The job submission requires a queuing system called Grid Engine. Copyright © 2008 Kaihsu Tai. Moral rights asserted (why?). Hereby licensed under either GFDL or GNU General Public License at your option.
Obviously, you will have to change the parameters in the driver-functions (main()) to fit the purposes of this tutorial. That is the exercise for the reader! – Kaihsu 16:12, 23 December 2008 (UTC)
Also, you will need to generate the PQR file, along with a file containing a list of the coordinates for the sample points. The script submits the job to a queueing system called Grid Engine, but you can submit the job by hand if you do not have this installed. – Kaihsu 11:04, 9 January 2009 (UTC)
Additionally, you will need to change the ion species. – Kaihsu 17:03, 30 January 2009 (UTC)
See also Two-dimensional Poisson–Boltzmann profile for an ion channel. – Kaihsu 13:07, 30 April 2009 (UTC)
placeion.py
[edit source]#!/usr/bin/python
import os
class placeion:
"preparing job for APBS energy profiling by placing ions"
def __init__(self):
self.cglen = [0, 0, 0]
self.pqrLines = []
def readPQR(self):
pqrFile = open(self.pqrName, "r")
lines = pqrFile.readlines()
for line in lines:
if (line[0:4] == "ATOM"):
self.pqrLines.append(line)
pqrFile.close()
# finding the cglen (coarse grid lengths) automatically
# This depends on correct spacing in the PQR file.
minDim = [+100000, +100000, +100000]
maxDim = [-100000, -100000, -100000]
for line in lines:
if (line[0:4] == "ATOM"):
tokens = line.split()
for i in range(0, 3):
if float(tokens[i+5]) < minDim[i]:
minDim[i] = float(tokens[i+5])
if float(tokens[i+5]) > maxDim[i]:
maxDim[i] = float(tokens[i+5])
for i in [0, 1]:
self.cglen[i] = (maxDim[i] - minDim[i]) + 40
self.cglen[2] = (maxDim[2] - minDim[2]) + 80
def writePQRs(self):
# make directory
if (not os.path.exists(self.jobName)):
os.mkdir(self.jobName)
# write protein
proFile = open(self.jobName + "/pro" + ".pqr", "w")
for line in self.pqrLines:
proFile.write(line)
proFile.close()
# write complex and ion
for point in self.points:
x = point[0]
y = point[1]
z = point[2]
aID = 50000
rID = 10000
ionLines = ""
for zOffset in self.zOffsets:
# example: "ATOM 50000 NHX SPM 10000 43.624 57.177 58.408 1.0000 2.1300"
ionLines += self.getPqrLine(aID, "NHX", rID, "SPM", x, y, z+zOffset, +1.0, 2.130)
# entry for NH4(+) in Table III in
# Rashin and Honig (1985) J. Phys. Chem. 89(26):5588--5593
# http://dx.doi.org/10.1021/j100272a006
aID += 1
rID += 1
# write ion
ionFile = open(self.jobName + "/ion_" + str(z) + ".pqr", "w")
ionFile.write(ionLines)
ionFile.close()
# write complex
cpxFile = open(self.jobName + "/cpx_" + str(z) + ".pqr", "w")
for line in self.pqrLines:
cpxFile.write(line)
cpxFile.write(ionLines)
cpxFile.close()
def getPqrLine(self, aID, aType, rID, rType, x, y, z, q, r):
# example: "ATOM 50000 NHX SPM 10000 43.624 57.177 58.408 1.0000 2.1300"
line = "ATOM "
line += "%5d " % aID
line += "%-4s" % aType
line += "%3s " % rType
line += "%5d " % rID
line += "%8.3f%8.3f%8.3f " % (x, y, z)
line += "%7.4f%7.4f\n" % (q, r)
return line
def readPoints(self):
pointsFile = open(self.pointsName, "r")
lines = pointsFile.readlines()
pointsFile.close()
points = []
for line in lines:
tokens = line.split()
parsed = [float(tokens[0]), float(tokens[1]), float(tokens[2])]
points.append(parsed)
self.points = points
def writeIn(self):
for point in self.points:
z = point[2]
inFile = open(self.jobName + "/job_" + str(z) + ".in", "w")
inFile.write("""# APBS input file generated by """ + __file__ + """
# for the complex and the ion at z = """ + str(z) + "\n")
inFile.write("""
read
mol pqr pro.pqr
mol pqr ion_""" + str(z) + """.pqr
mol pqr cpx_""" + str(z) + """.pqr
end
""")
count = 1
for what in ["pro", "ion", "cpx"]:
inFile.write("""
elec name """ + what + """
mg-auto
mol """ + str(count) + """
dime 97 97 193
cglen """ + str(self.cglen[0]) + " " + str(self.cglen[1]) + " " + str(self.cglen[2]) + """
fglen 20 20 20
cgcent mol 3
fgcent mol 2
# NaCl ionic strength in mol/L
ion 1 """ + str(self.ionic) + """ 0.95 # sodium ions
ion -1 """ + str(self.ionic) + """ 1.81 # chloride ions
lpbe
bcfl mdh
pdie 2.0 # protein and faux-lipid
sdie 78.5 # Eisenberg and Crothers Phys. Chem. book 1979
srfm smol
chgm spl2
srad 1.4
swin 0.3
sdens 10.0
temp 300
# gamma 0.105 # Uncomment for old versions of APBS: deprecated for APBS 1.0.0
calcenergy total
calcforce no
end
""")
count += 1
inFile.write("""
print energy cpx - ion - pro end
quit
""")
inFile.close()
def writeJob(self):
for point in self.points:
z = point[2]
jobFile = open(self.jobName + "/job_" + str(z) + ".bash", "w")
jobFile.write("#!/bin/bash\n")
jobFile.write("""
#$ -N z""" + str(z) + self.jobName + """
#$ -S /bin/bash
#$ -l glibc=2.3,mem_free=500M,mem_total=500M
#$ -cwd
#$ -j y
#$ -r y
echo job running on $HOSTNAME
ulimit -c 64
/sansom/fedpacks/bin/apbs """)
jobFile.write("job_" + str(z) + ".in > job_" + str(z) + ".out")
jobFile.close()
qsubName = "qsub_" + self.jobName + ".bash"
jobFile = open(qsubName, "w")
jobFile.write("""#$ -N """ + self.jobName + """
#$ -S /bin/bash
#$ -l glibc=2.3,mem_free=500M,mem_total=500M
#$ -cwd
#$ -j y
#$ -r y
declare -a job
""")
count = 0
for point in self.points:
z = point[2]
jobFile.write("job[" + str(count+1) + ']="' + self.jobName + "/job_" + str(z) + ".bash" + '"\n')
count += 1
jobFile.write("""
run_d=$(dirname ${job[${SGE_TASK_ID}]})
script=$(basename ${job[${SGE_TASK_ID}]})
cd ${run_d} || { echo "Failed to cd ${run_d}. Abort."; exit 1; }
chmod a+x ${script}
exec ./${script}
""")
jobFile.close()
return count
def run(self):
self.readPQR()
self.readPoints()
self.writePQRs()
self.writeIn()
count = self.writeJob()
# qsub -t 1-80 qsub_all.sh
os.spawnl(
os.P_WAIT, "/sansom/fedpacks/opt/SGE6/bin/lx24-x86/qsub", "/sansom/fedpacks/opt/SGE6/bin/lx24-x86/qsub",
"-t", "1-" + str(count), "qsub_" + self.jobName + ".bash"
)
def main():
myP = placeion()
myP.pqrName = "/sansom/s66/kaihsu/works/oxford/physiome/magnesium/H011.pqr"
myP.pointsName = "/sansom/s66/kaihsu/works/oxford/physiome/magnesium/samplepoints011.dat"
myP.ionic = 0.15
# in angstroms
# set myP.zOffsets to be [-6.3, 0.0, +5.0] for 'butane' end towards cytoplasm
# set myP.zOffsets to be [-5.0, 0.0, +6.3] for 'propane' end towards cytoplasm
myP.zOffsets = [-6.3, 0.0, +5.0]
myP.jobName = "H011cytoBut"
myP.run()
if __name__ == "__main__":
main()
analyze.py
[edit source]#!/usr/bin/python
import Gnuplot, os
class analyze:
"analyze APBS energy profiling results"
def readPoints(self):
pointsFile = open(self.pointsName, "r")
lines = pointsFile.readlines()
pointsFile.close()
points = []
for line in lines:
tokens = line.split()
parsed = [float(tokens[0]), float(tokens[1]), float(tokens[2])]
points.append(parsed)
self.points = points
def accumulate(self):
self.readPoints()
self.zE = []
for point in self.points:
z = point[2]
outName = self.jobName + "/job_" + str(z) + ".out"
lines = ""
if (os.path.exists(outName)):
outFile = open(outName, "r")
lines = outFile.readlines()
outFile.close()
for line in lines:
if (line[0:18] == " Local net energy"):
self.zE.append([z, float(line.split()[6])])
def write(self):
outName = self.jobName + ".dat"
outFile = open(outName, "w")
outFile.write("# z/angstrom E/(kJ/mol)\n")
for each in self.zE:
outFile.write("%8.3f %8.3e\n" % (each[0], each[1]))
outFile.close()
def plot(self):
outName = self.jobName + ".dat"
plotName = self.jobName + ".eps"
# initialize
g = Gnuplot.GnuplotProcess()
cmd = "set terminal postscript eps colour\n"
cmd += 'set output "' + plotName + '"\n'
cmd += """set style data lines
set xlabel "z / nm"
set ylabel "energy / (kJ/mol)"
"""
cmd += 'plot "' + outName + '" using ($1/10):($2) title "' + self.jobName + '"\n'
# do it
g(cmd)
def run(self):
self.accumulate()
self.write()
self.plot()
def main():
myP = analyze()
myP.pointsName = "/sansom/s66/kaihsu/works/oxford/physiome/magnesium/samplepoints011.dat"
myP.jobName = "H011cytoBut"
myP.run()
if __name__ == "__main__":
main()