Usage¶
To use BioInterface in a Python project:
import biointerface
Extract One Protein-DNA Interface¶
You can extract a single Protein-DNA interface from a single protein chain.
from Bio.PDB.PDBList import PDBList
from Bio.PDB.MMCIFParser import MMCIFParser
from biointerface import Interface
# retrive file from PDB using Biopython
pdbl = PDBList()
pdbl.retrieve_pdb_file(pdb_code="1A02", pdir=".")
pdbl.retrieve_assembly_file(pdb_code="1A02", assembly_num=1, pdir=".")
# ... or else use your own
# parse and build structure with Biopython
parser = MMCIFParser()
structure = parser.get_structure(
structure_id="1A02", filename="1a02-assembly1.cif"
)
# extract interface from a specific protein chain
face = Interface(
structure=structure,
protein_chain_id="F",
search_radius=5.0
)
face
<Interface chains=F:BA contacts=258 search_radius=5.0>
Extract All Protein-DNA Interfaces¶
You can also extract all Protein-DNA interface from an entire structure.
from biointerface import build_interfaces
face_list = build_interfaces(structure=structure, search_radius=5.0)
face_list
[<Interface chains=J:BA contacts=189 search_radius=5.0>,
<Interface chains=F:BA contacts=258 search_radius=5.0>,
<Interface chains=N:BA contacts=529 search_radius=5.0>]
Get All Interacting Residues¶
You can access all interacting residues in a Protein-DNA interface, both aminoacids and nucleotides.
face.get_aminoacids()
[<Residue ARG het= resseq=144 icode= >,
<Residue ALA het= resseq=151 icode= >,
<Residue ARG het= resseq=158 icode= >,
<Residue ASN het= resseq=147 icode= >,
<Residue LYS het= resseq=148 icode= >,
<Residue LYS het= resseq=153 icode= >,
<Residue SER het= resseq=154 icode= >,
<Residue ARG het= resseq=155 icode= >,
<Residue ALA het= resseq=150 icode= >,
<Residue ARG het= resseq=143 icode= >,
<Residue ARG het= resseq=146 icode= >,
<Residue ARG het= resseq=157 icode= >]
face.get_nucleotides()
[<Residue DT het= resseq=4015 icode= >,
<Residue DC het= resseq=4016 icode= >,
<Residue DT het= resseq=4014 icode= >,
<Residue DG het= resseq=5007 icode= >,
<Residue DA het= resseq=4017 icode= >,
<Residue DT het= resseq=4018 icode= >,
<Residue DT het= resseq=5006 icode= >,
<Residue DC het= resseq=5003 icode= >,
<Residue DA het= resseq=5005 icode= >,
<Residue DG het= resseq=4012 icode= >,
<Residue DT het= resseq=4013 icode= >,
<Residue DT het= resseq=5004 icode= >]
Get All Interacting Atoms¶
You can access all interacting atoms in a Protein-DNA interface.
First of all you can get all interacting atoms as atom pairs.
contacts = face.get_atomic_contacts()
contacts[:5]
[(<Atom C5'>, <Atom NZ>),
(<Atom C5'>, <Atom CE>),
(<Atom O5'>, <Atom NZ>),
(<Atom O5'>, <Atom CE>),
(<Atom O5'>, <Atom CD>)]
You can also get all Protein or DNA interacting atoms, independently.
atoms = face.get_protein_atoms()
atoms[:5]
[<Atom CZ>, <Atom N>, <Atom NE>, <Atom CD>, <Atom CG>]
atoms = face.get_dna_atoms()
atoms[:5]
[<Atom P>, <Atom C5'>, <Atom C6>, <Atom C5>, <Atom C4'>]
Interface Data as DataFrame¶
You can get all Protein-DNA interface features as a pandas DataFrame.
df = face.as_dataframe()
df.columns
Index(['protein_chain_id', 'prot_res_hetfield', 'prot_res_number',
'prot_res_icode', 'prot_res_name', 'prot_atom_name', 'prot_atom_altloc',
'prot_atom_element', 'prot_atom_coord_x', 'prot_atom_coord_y',
'prot_atom_coord_z', 'dna_chain_id', 'dna_res_hetfield',
'dna_res_number', 'dna_res_icode', 'dna_res_name', 'dna_atom_name',
'dna_atom_altloc', 'dna_atom_element', 'dna_atom_coord_x',
'dna_atom_coord_y', 'dna_atom_coord_z', 'euclidean_distance'],
dtype='object')
df
protein_chain_id prot_res_hetfield prot_res_number ... euclidean_distance
0 F 148 ... 4.458498
1 F 148 ... 3.964944
2 F 148 ... 4.066739
3 F 148 ... 3.271817
4 F 148 ... 4.217340
... ... ... ... ... ...
253 F 154 ... 4.644194
254 F 150 ... 4.594888
255 F 150 ... 4.784895
256 F 157 ... 4.904832
257 F 157 ... 4.299844
[258 rows x 23 columns]
Protein-Bound Nucleic Acids¶
BioInterface can extract all double-strand nucleic acids bound by
the input protein, as a DoubleStrandNucleicAcid class from the package
PDBNucleicAcids.
bound_dsna_list = face.get_bound_double_strands()
bound_dsna = dsna_list[0]
bound_dsna
<DoubleStrandNucleicAcid type='dsDNA' i-th strand='A' j-th strand='B'
length=9>
The DoubleStrandNucleicAcid class has other useful methods.
bound_dsna.get_i_strand().get_seq()
Seq('GTTTCATAG')