pdbbasic 0.6.0

Basic Utilities for Protein Structure Data

PDBBasic

Basic Functions for Protein Structure Data

Install

pip install pdbbasic

Usage

import numpy as np
import torch
import pdbbasic as pdbb

# read PDB file
coord1, info1 = pdbb.readpdb('filename.pdb', with_info=True)
# coord1.shape -> (N, 4, 3), N=length, 4=atoms:(N,CA,C,O), 3=coordinates:(x,y,z)

ca1 = coord1[:,1]
ca2 = pdbb.readpdb('filename.pdb', CA_only=True)

# calc RMSD
rmsd_np = pdbb.rmsd(ca1, ca2)

# Kabsch superposition
coo_sup1, coo_sup2 = pdbb.kabsch(ca1, ca2)

# torsion angle
torsion = pdbb.torsion_angles(coord1)
# torsion.shape -> (N, 3), 3=dihedrals:(phi,psi,omega)

# distance matrix
distmat_within = pdbb.distance_matrix(ca1)
distmat_between = pdbb.distance_matrix(ca1, ca2)

# torch Tensor is also applicable
rmsd_torch = pdbb.rmsd(torch.Tensor(ca1), torch.Tensor(ca2))

# batched calculation is applicable
ca_batch1 = np.repeat(np.expand_dims(ca1, axis=0), 100, axis=0)
ca_batch2 = np.repeat(np.expand_dims(ca2, axis=0), 100, axis=0)
bb_batch = np.repeat(np.expand_dims(coord1, axis=0), 100, axis=0)

rmsd_batch = pdbb.rmsd(ca_batch1, ca_batch2)
sup_batch1, sup_batch2 = pdbb.kabsch(ca_batch1, ca_batch2)
torsion_batch = pdbb.torsion_angles(bb_batch)
distmat_batch = pdbb.distance_matrix(ca_batch1)

# all against all RMSD calculation
rmsd_matrix = pdbb.rmsd_many_vs_many(ca_batch1)

Requirement

• python3
• numpy
• pandas
• pytorch
• einops