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|
import time
from operator import itemgetter
import lxml.etree as et
from plip.basic import config
from plip.basic.config import __version__
from plip.structure.preparation import PDBComplex
class StructureReport:
"""Creates reports (xml or txt) for one structure/"""
def __init__(self, mol: PDBComplex, outputprefix: str = "report"):
self.mol = mol
self.excluded = self.mol.excluded
self.xmlreport = self.construct_xml_tree()
self.txtreport = self.construct_txt_file()
self.get_bindingsite_data()
self.outpath = mol.output_path
self.outputprefix = outputprefix
def construct_xml_tree(self):
"""Construct the basic XML tree"""
report = et.Element("report")
plipversion = et.SubElement(report, "plipversion")
plipversion.text = __version__
date_of_creation = et.SubElement(report, "date_of_creation")
date_of_creation.text = time.strftime("%Y/%m/%d")
citation_information = et.SubElement(report, "citation_information")
citation_information.text = (
"Salentin,S. et al. PLIP: fully automated protein-ligand interaction profiler. "
"Nucl. Acids Res. (1 July 2015) 43 (W1): W443-W447. doi: 10.1093/nar/gkv315"
)
maintainer_information = et.SubElement(report, "maintainer_information")
maintainer_information.text = config.__maintainer__
mode = et.SubElement(report, "mode")
if config.DNARECEPTOR:
mode.text = "dna_receptor"
else:
mode.text = "default"
pdbid = et.SubElement(report, "pdbid")
pdbid.text = self.mol.pymol_name.upper()
filetype = et.SubElement(report, "filetype")
filetype.text = self.mol.filetype.upper()
pdbfile = et.SubElement(report, "pdbfile")
pdbfile.text = self.mol.sourcefiles["pdbcomplex"]
pdbfixes = et.SubElement(report, "pdbfixes")
pdbfixes.text = str(self.mol.information["pdbfixes"])
filename = et.SubElement(report, "filename")
filename.text = str(self.mol.sourcefiles.get("filename") or None)
exligs = et.SubElement(report, "excluded_ligands")
for i, exlig in enumerate(self.excluded):
e = et.SubElement(exligs, "excluded_ligand", id=str(i + 1))
e.text = exlig
covalent = et.SubElement(report, "covlinkages")
for i, covlinkage in enumerate(self.mol.covalent):
e = et.SubElement(covalent, "covlinkage", id=str(i + 1))
f1 = et.SubElement(e, "res1")
f2 = et.SubElement(e, "res2")
f1.text = ":".join(
[covlinkage.id1, covlinkage.chain1, str(covlinkage.pos1)]
)
f2.text = ":".join(
[covlinkage.id2, covlinkage.chain2, str(covlinkage.pos2)]
)
return report
def construct_txt_file(self):
"""Construct the header of the txt file"""
textlines = [
"Prediction of noncovalent interactions for PDB structure %s"
% self.mol.pymol_name.upper(),
]
textlines.append("=" * len(textlines[0]))
textlines.append(
"Created on %s using PLIP v%s\n" % (time.strftime("%Y/%m/%d"), __version__)
)
textlines.append("If you are using PLIP in your work, please cite:")
textlines.append(
"Salentin,S. et al. PLIP: fully automated protein-ligand interaction profiler."
)
textlines.append(
"Nucl. Acids Res. (1 July 2015) 43 (W1): W443-W447. doi: 10.1093/nar/gkv315\n"
)
if len(self.excluded) != 0:
textlines.append(
"Excluded molecules as ligands: %s\n"
% ",".join([lig for lig in self.excluded])
)
if config.DNARECEPTOR:
textlines.append("DNA/RNA in structure was chosen as the receptor part.\n")
return textlines
def get_bindingsite_data(self):
"""Get the additional data for the binding sites"""
for i, site in enumerate(sorted(self.mol.interaction_sets)):
s = self.mol.interaction_sets[site]
bindingsite = BindingSiteReport(s).generate_xml()
bindingsite.set("id", str(i + 1))
bindingsite.set("has_interactions", "False")
self.xmlreport.insert(i + 1, bindingsite)
for itype in BindingSiteReport(s).generate_txt():
self.txtreport.append(itype)
if not s.no_interactions:
bindingsite.set("has_interactions", "True")
else:
self.txtreport.append("No interactions detected.")
def write_xml(self, as_string=False):
"""Write the XML report"""
if not as_string:
et.ElementTree(self.xmlreport).write(
"{}/{}.xml".format(self.outpath, self.outputprefix),
pretty_print=True,
xml_declaration=True,
)
else:
output = et.tostring(self.xmlreport, pretty_print=True)
print(output.decode("utf8"))
def write_txt(self, as_string=False):
"""Write the TXT report"""
if not as_string:
with open("{}/{}.txt".format(self.outpath, self.outputprefix), "w") as f:
[f.write(textline + "\n") for textline in self.txtreport]
else:
output = "\n".join(self.txtreport)
print(output)
class BindingSiteReport:
"""Gather report data and generate reports for one binding site in different formats."""
def __init__(self, plcomplex):
################
# GENERAL DATA #
################
self.complex = plcomplex
self.ligand = self.complex.ligand
self.bindingsite = self.complex.bindingsite
self.output_path = self.complex.output_path
self.bsid = ":".join(
[self.ligand.hetid, self.ligand.chain, str(self.ligand.position)]
)
self.longname = self.ligand.longname
self.ligtype = self.ligand.type
self.bs_res = self.bindingsite.bs_res
self.min_dist = self.bindingsite.min_dist
self.bs_res_interacting = self.complex.interacting_res
self.pdbid = self.complex.pdbid.upper()
self.lig_members = self.complex.lig_members
self.interacting_chains = self.complex.interacting_chains
############################
# HYDROPHOBIC INTERACTIONS #
############################
self.hydrophobic_features = (
"RESNR",
"RESTYPE",
"RESCHAIN",
"RESNR_LIG",
"RESTYPE_LIG",
"RESCHAIN_LIG",
"DIST",
"LIGCARBONIDX",
"PROTCARBONIDX",
"LIGCOO",
"PROTCOO",
)
self.hydrophobic_info = []
for hydroph in self.complex.hydrophobic_contacts:
self.hydrophobic_info.append(
(
hydroph.resnr,
hydroph.restype,
hydroph.reschain,
hydroph.resnr_l,
hydroph.restype_l,
hydroph.reschain_l,
"%.2f" % hydroph.distance,
hydroph.ligatom_orig_idx,
hydroph.bsatom_orig_idx,
hydroph.ligatom.coords,
hydroph.bsatom.coords,
)
)
##################
# HYDROGEN BONDS #
##################
self.hbond_features = (
"RESNR",
"RESTYPE",
"RESCHAIN",
"RESNR_LIG",
"RESTYPE_LIG",
"RESCHAIN_LIG",
"SIDECHAIN",
"DIST_H-A",
"DIST_D-A",
"DON_ANGLE",
"PROTISDON",
"DONORIDX",
"DONORTYPE",
"ACCEPTORIDX",
"ACCEPTORTYPE",
"LIGCOO",
"PROTCOO",
)
self.hbond_info = []
for hbond in self.complex.hbonds_pdon + self.complex.hbonds_ldon:
ligatom, protatom = (
(hbond.a, hbond.d) if hbond.protisdon else (hbond.d, hbond.a)
)
self.hbond_info.append(
(
hbond.resnr,
hbond.restype,
hbond.reschain,
hbond.resnr_l,
hbond.restype_l,
hbond.reschain_l,
hbond.sidechain,
"%.2f" % hbond.distance_ah,
"%.2f" % hbond.distance_ad,
"%.2f" % hbond.angle,
hbond.protisdon,
hbond.d_orig_idx,
hbond.dtype,
hbond.a_orig_idx,
hbond.atype,
ligatom.coords,
protatom.coords,
)
)
#################
# WATER-BRIDGES #
#################
self.waterbridge_features = (
"RESNR",
"RESTYPE",
"RESCHAIN",
"RESNR_LIG",
"RESTYPE_LIG",
"RESCHAIN_LIG",
"DIST_A-W",
"DIST_D-W",
"DON_ANGLE",
"WATER_ANGLE",
"PROTISDON",
"DONOR_IDX",
"DONORTYPE",
"ACCEPTOR_IDX",
"ACCEPTORTYPE",
"WATER_IDX",
"LIGCOO",
"PROTCOO",
"WATERCOO",
)
# The coordinate format is an exception here, since the interaction is not only between ligand and protein
self.waterbridge_info = []
for wbridge in self.complex.water_bridges:
lig, prot = (
(wbridge.a, wbridge.d) if wbridge.protisdon else (wbridge.d, wbridge.a)
)
self.waterbridge_info.append(
(
wbridge.resnr,
wbridge.restype,
wbridge.reschain,
wbridge.resnr_l,
wbridge.restype_l,
wbridge.reschain_l,
"%.2f" % wbridge.distance_aw,
"%.2f" % wbridge.distance_dw,
"%.2f" % wbridge.d_angle,
"%.2f" % wbridge.w_angle,
wbridge.protisdon,
wbridge.d_orig_idx,
wbridge.dtype,
wbridge.a_orig_idx,
wbridge.atype,
wbridge.water_orig_idx,
lig.coords,
prot.coords,
wbridge.water.coords,
)
)
################
# SALT BRIDGES #
################
self.saltbridge_features = (
"RESNR",
"RESTYPE",
"RESCHAIN",
"RESNR_LIG",
"RESTYPE_LIG",
"RESCHAIN_LIG",
"DIST",
"PROTISPOS",
"LIG_GROUP",
"LIG_IDX_LIST",
"LIGCOO",
"PROTCOO",
)
self.saltbridge_info = []
for sb in self.complex.saltbridge_lneg + self.complex.saltbridge_pneg:
if sb.protispos:
group, ids = (
sb.negative.fgroup,
[str(x) for x in sb.negative.atoms_orig_idx],
)
self.saltbridge_info.append(
(
sb.resnr,
sb.restype,
sb.reschain,
sb.resnr_l,
sb.restype_l,
sb.reschain_l,
"%.2f" % sb.distance,
sb.protispos,
group.capitalize(),
",".join(ids),
tuple(sb.negative.center),
tuple(sb.positive.center),
)
)
else:
group, ids = (
sb.positive.fgroup,
[str(x) for x in sb.positive.atoms_orig_idx],
)
self.saltbridge_info.append(
(
sb.resnr,
sb.restype,
sb.reschain,
sb.resnr_l,
sb.restype_l,
sb.reschain_l,
"%.2f" % sb.distance,
sb.protispos,
group.capitalize(),
",".join(ids),
tuple(sb.positive.center),
tuple(sb.negative.center),
)
)
###############
# PI-STACKING #
###############
self.pistacking_features = (
"RESNR",
"RESTYPE",
"RESCHAIN",
"RESNR_LIG",
"RESTYPE_LIG",
"RESCHAIN_LIG",
"CENTDIST",
"ANGLE",
"OFFSET",
"TYPE",
"LIG_IDX_LIST",
"LIGCOO",
"PROTCOO",
)
self.pistacking_info = []
for stack in self.complex.pistacking:
ids = [str(x) for x in stack.ligandring.atoms_orig_idx]
self.pistacking_info.append(
(
stack.resnr,
stack.restype,
stack.reschain,
stack.resnr_l,
stack.restype_l,
stack.reschain_l,
"%.2f" % stack.distance,
"%.2f" % stack.angle,
"%.2f" % stack.offset,
stack.type,
",".join(ids),
tuple(stack.ligandring.center),
tuple(stack.proteinring.center),
)
)
##########################
# PI-CATION INTERACTIONS #
##########################
self.pication_features = (
"RESNR",
"RESTYPE",
"RESCHAIN",
"RESNR_LIG",
"RESTYPE_LIG",
"RESCHAIN_LIG",
"DIST",
"OFFSET",
"PROTCHARGED",
"LIG_GROUP",
"LIG_IDX_LIST",
"LIGCOO",
"PROTCOO",
)
self.pication_info = []
for picat in self.complex.pication_laro + self.complex.pication_paro:
if picat.protcharged:
ids = [str(x) for x in picat.ring.atoms_orig_idx]
group = "Aromatic"
self.pication_info.append(
(
picat.resnr,
picat.restype,
picat.reschain,
picat.resnr_l,
picat.restype_l,
picat.reschain_l,
"%.2f" % picat.distance,
"%.2f" % picat.offset,
picat.protcharged,
group,
",".join(ids),
tuple(picat.ring.center),
tuple(picat.charge.center),
)
)
else:
ids = [str(x) for x in picat.charge.atoms_orig_idx]
group = picat.charge.fgroup
self.pication_info.append(
(
picat.resnr,
picat.restype,
picat.reschain,
picat.resnr_l,
picat.restype_l,
picat.reschain_l,
"%.2f" % picat.distance,
"%.2f" % picat.offset,
picat.protcharged,
group,
",".join(ids),
tuple(picat.charge.center),
tuple(picat.ring.center),
)
)
#################
# HALOGEN BONDS #
#################
self.halogen_features = (
"RESNR",
"RESTYPE",
"RESCHAIN",
"RESNR_LIG",
"RESTYPE_LIG",
"RESCHAIN_LIG",
"SIDECHAIN",
"DIST",
"DON_ANGLE",
"ACC_ANGLE",
"DON_IDX",
"DONORTYPE",
"ACC_IDX",
"ACCEPTORTYPE",
"LIGCOO",
"PROTCOO",
)
self.halogen_info = []
for halogen in self.complex.halogen_bonds:
self.halogen_info.append(
(
halogen.resnr,
halogen.restype,
halogen.reschain,
halogen.resnr_l,
halogen.restype_l,
halogen.reschain_l,
halogen.sidechain,
"%.2f" % halogen.distance,
"%.2f" % halogen.don_angle,
"%.2f" % halogen.acc_angle,
halogen.don_orig_idx,
halogen.donortype,
halogen.acc_orig_idx,
halogen.acctype,
halogen.acc.o.coords,
halogen.don.x.coords,
)
)
###################
# METAL COMPLEXES #
###################
self.metal_features = (
"RESNR",
"RESTYPE",
"RESCHAIN",
"RESNR_LIG",
"RESTYPE_LIG",
"RESCHAIN_LIG",
"METAL_IDX",
"METAL_TYPE",
"TARGET_IDX",
"TARGET_TYPE",
"COORDINATION",
"DIST",
"LOCATION",
"RMS",
"GEOMETRY",
"COMPLEXNUM",
"METALCOO",
"TARGETCOO",
)
self.metal_info = []
# Coordinate format here is non-standard since the interaction partner can be either ligand or protein
for m in self.complex.metal_complexes:
self.metal_info.append(
(
m.resnr,
m.restype,
m.reschain,
m.resnr_l,
m.restype_l,
m.reschain_l,
m.metal_orig_idx,
m.metal_type,
m.target_orig_idx,
m.target_type,
m.coordination_num,
"%.2f" % m.distance,
m.location,
"%.2f" % m.rms,
m.geometry,
str(m.complexnum),
m.metal.coords,
m.target.atom.coords,
)
)
def write_section(self, name, features, info, f):
"""Provides formatting for one section (e.g. hydrogen bonds)"""
if not len(info) == 0:
f.write("\n\n### %s ###\n" % name)
f.write("%s\n" % "\t".join(features))
for line in info:
f.write("%s\n" % "\t".join(map(str, line)))
def rst_table(self, array):
"""Given an array, the function formats and returns and table in rST format."""
# Determine cell width for each column
cell_dict = {}
for i, row in enumerate(array):
for j, val in enumerate(row):
if j not in cell_dict:
cell_dict[j] = []
cell_dict[j].append(val)
for item in cell_dict:
cell_dict[item] = (
max([len(x) for x in cell_dict[item]]) + 1
) # Contains adapted width for each column
# Format top line
num_cols = len(array[0])
form = "+"
for col in range(num_cols):
form += (cell_dict[col] + 1) * "-"
form += "+"
form += "\n"
# Format values
for i, row in enumerate(array):
form += "| "
for j, val in enumerate(row):
cell_width = cell_dict[j]
form += str(val) + (cell_width - len(val)) * " " + "| "
form.rstrip()
form += "\n"
# Seperation lines
form += "+"
if i == 0:
sign = "="
else:
sign = "-"
for col in range(num_cols):
form += (cell_dict[col] + 1) * sign
form += "+"
form += "\n"
return form
def generate_txt(self):
"""Generates an flat text report for a single binding site"""
txt = []
titletext = "%s (%s) - %s" % (self.bsid, self.longname, self.ligtype)
txt.append(titletext)
for i, member in enumerate(self.lig_members[1:]):
txt.append(" + %s" % ":".join(str(element) for element in member))
txt.append("-" * len(titletext))
txt.append(
"Interacting chain(s): %s\n"
% ",".join([chain for chain in self.interacting_chains])
)
for section in [
[
"Hydrophobic Interactions",
self.hydrophobic_features,
self.hydrophobic_info,
],
["Hydrogen Bonds", self.hbond_features, self.hbond_info],
["Water Bridges", self.waterbridge_features, self.waterbridge_info],
["Salt Bridges", self.saltbridge_features, self.saltbridge_info],
["pi-Stacking", self.pistacking_features, self.pistacking_info],
["pi-Cation Interactions", self.pication_features, self.pication_info],
["Halogen Bonds", self.halogen_features, self.halogen_info],
["Metal Complexes", self.metal_features, self.metal_info],
]:
iname, features, interaction_information = section
# Sort results first by res number, then by distance and finally ligand coordinates to get a unique order
interaction_information = sorted(
interaction_information, key=itemgetter(0, 2, -2)
)
if not len(interaction_information) == 0:
txt.append("\n**%s**" % iname)
table = [
features,
]
for single_contact in interaction_information:
values = []
for x in single_contact:
if type(x) == str:
values.append(x)
elif type(x) == tuple and len(x) == 3: # Coordinates
values.append("%.3f, %.3f, %.3f" % x)
else:
values.append(str(x))
table.append(values)
txt.append(self.rst_table(table))
txt.append("\n")
return txt
def generate_xml(self):
"""Generates an XML-formatted report for a single binding site"""
report = et.Element("bindingsite")
identifiers = et.SubElement(report, "identifiers")
longname = et.SubElement(identifiers, "longname")
ligtype = et.SubElement(identifiers, "ligtype")
hetid = et.SubElement(identifiers, "hetid")
chain = et.SubElement(identifiers, "chain")
position = et.SubElement(identifiers, "position")
composite = et.SubElement(identifiers, "composite")
members = et.SubElement(identifiers, "members")
smiles = et.SubElement(identifiers, "smiles")
inchikey = et.SubElement(identifiers, "inchikey")
# Ligand properties. Number of (unpaired) functional atoms and rings.
lig_properties = et.SubElement(report, "lig_properties")
num_heavy_atoms = et.SubElement(lig_properties, "num_heavy_atoms")
num_hbd = et.SubElement(lig_properties, "num_hbd")
num_hbd.text = str(self.ligand.num_hbd)
num_unpaired_hbd = et.SubElement(lig_properties, "num_unpaired_hbd")
num_unpaired_hbd.text = str(self.complex.num_unpaired_hbd)
num_hba = et.SubElement(lig_properties, "num_hba")
num_hba.text = str(self.ligand.num_hba)
num_unpaired_hba = et.SubElement(lig_properties, "num_unpaired_hba")
num_unpaired_hba.text = str(self.complex.num_unpaired_hba)
num_hal = et.SubElement(lig_properties, "num_hal")
num_hal.text = str(self.ligand.num_hal)
num_unpaired_hal = et.SubElement(lig_properties, "num_unpaired_hal")
num_unpaired_hal.text = str(self.complex.num_unpaired_hal)
num_aromatic_rings = et.SubElement(lig_properties, "num_aromatic_rings")
num_aromatic_rings.text = str(self.ligand.num_rings)
num_rot_bonds = et.SubElement(lig_properties, "num_rotatable_bonds")
num_rot_bonds.text = str(self.ligand.num_rot_bonds)
molweight = et.SubElement(lig_properties, "molweight")
molweight.text = str(self.ligand.molweight)
logp = et.SubElement(lig_properties, "logp")
logp.text = str(self.ligand.logp)
ichains = et.SubElement(report, "interacting_chains")
bsresidues = et.SubElement(report, "bs_residues")
for i, ichain in enumerate(self.interacting_chains):
c = et.SubElement(ichains, "interacting_chain", id=str(i + 1))
c.text = ichain
for i, bsres in enumerate(self.bs_res):
contact = "True" if bsres in self.bs_res_interacting else "False"
distance = "%.1f" % self.min_dist[bsres][0]
aatype = self.min_dist[bsres][1]
c = et.SubElement(
bsresidues,
"bs_residue",
id=str(i + 1),
contact=contact,
min_dist=distance,
aa=aatype,
)
c.text = bsres
hetid.text, chain.text, position.text = (
self.ligand.hetid,
self.ligand.chain,
str(self.ligand.position),
)
composite.text = "True" if len(self.lig_members) > 1 else "False"
longname.text = self.longname
ligtype.text = self.ligtype
smiles.text = self.ligand.smiles
inchikey.text = self.ligand.inchikey
num_heavy_atoms.text = str(
self.ligand.heavy_atoms
) # Number of heavy atoms in ligand
for i, member in enumerate(self.lig_members):
bsid = ":".join(str(element) for element in member)
m = et.SubElement(members, "member", id=str(i + 1))
m.text = bsid
interactions = et.SubElement(report, "interactions")
def format_interactions(element_name, features, interaction_information):
"""Returns a formatted element with interaction information."""
interaction = et.Element(element_name)
# Sort results first by res number, then by distance and finally ligand coordinates to get a unique order
interaction_information = sorted(
interaction_information, key=itemgetter(0, 2, -2)
)
for j, single_contact in enumerate(interaction_information):
if not element_name == "metal_complexes":
new_contact = et.SubElement(
interaction, element_name[:-1], id=str(j + 1)
)
else: # Metal Complex[es]
new_contact = et.SubElement(
interaction, element_name[:-2], id=str(j + 1)
)
for i, feature in enumerate(single_contact):
# Just assign the value unless it's an atom list, use subelements in this case
if features[i] == "LIG_IDX_LIST":
feat = et.SubElement(new_contact, features[i].lower())
for k, atm_idx in enumerate(feature.split(",")):
idx = et.SubElement(feat, "idx", id=str(k + 1))
idx.text = str(atm_idx)
elif features[i].endswith("COO"):
feat = et.SubElement(new_contact, features[i].lower())
xc, yc, zc = feature
xcoo = et.SubElement(feat, "x")
xcoo.text = "%.3f" % xc
ycoo = et.SubElement(feat, "y")
ycoo.text = "%.3f" % yc
zcoo = et.SubElement(feat, "z")
zcoo.text = "%.3f" % zc
else:
feat = et.SubElement(new_contact, features[i].lower())
feat.text = str(feature)
return interaction
interactions.append(
format_interactions(
"hydrophobic_interactions",
self.hydrophobic_features,
self.hydrophobic_info,
)
)
interactions.append(
format_interactions("hydrogen_bonds", self.hbond_features, self.hbond_info)
)
interactions.append(
format_interactions(
"water_bridges", self.waterbridge_features, self.waterbridge_info
)
)
interactions.append(
format_interactions(
"salt_bridges", self.saltbridge_features, self.saltbridge_info
)
)
interactions.append(
format_interactions(
"pi_stacks", self.pistacking_features, self.pistacking_info
)
)
interactions.append(
format_interactions(
"pi_cation_interactions", self.pication_features, self.pication_info
)
)
interactions.append(
format_interactions(
"halogen_bonds", self.halogen_features, self.halogen_info
)
)
interactions.append(
format_interactions("metal_complexes", self.metal_features, self.metal_info)
)
# Mappings
mappings = et.SubElement(report, "mappings")
smiles_to_pdb = et.SubElement(
mappings, "smiles_to_pdb"
) # SMILES numbering to PDB file numbering (atoms)
bsid = ":".join(
[self.ligand.hetid, self.ligand.chain, str(self.ligand.position)]
)
if self.ligand.atomorder is not None:
smiles_to_pdb_map = [
(
key,
self.ligand.Mapper.mapid(
self.ligand.can_to_pdb[key], mtype="protein", bsid=bsid
),
)
for key in self.ligand.can_to_pdb
]
smiles_to_pdb.text = ",".join(
[
str(mapping[0]) + ":" + str(mapping[1])
for mapping in smiles_to_pdb_map
]
)
else:
smiles_to_pdb.text = ""
return report
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