hbonds = HydrogenBondAnalysis(
    universe=u,
    between=["resname DOPC", "resname G12C"],
    d_a_cutoff=3.25,
    d_h_a_angle_cutoff=130,
    update_selections=False
)
hbonds.donors_sel="name O*"
hbonds.acceptors_sel="name O*"

hbonds = HydrogenBondAnalysis(
    universe=u,
    between=["resname DOPC", "resname G12C"],
    d_a_cutoff=3.25,
    d_h_a_angle_cutoff=130,
    donors_sel="name O*",
    acceptors_sel="name O*",
    update_selections=False
)

import MDAnalysis as mda
import pandas as pd
from MDAnalysis.tests.datafiles import TPR_xvf, XTC_sub_sol
from MDAnalysis.analysis.hydrogenbonds import HydrogenBondAnalysis

u = mda.Universe(TPR_xvf, XTC_sub_sol)

hbonds = HydrogenBondAnalysis(
    universe=u,
    between=["protein", "resname SOL"],
    d_a_cutoff=3.25,
    d_h_a_angle_cutoff=130,
    update_selections=False
)
hbonds.donors_sel="name O*"
hbonds.acceptors_sel="name O*"

hbonds.run(
    start=0,
    stop=1,
    step=None,
    verbose=True
)
donor_atom = []
acceptor_atom = []
df = pd.DataFrame(hbonds.results["hbonds"])
df.columns = ["frame", "donor_index", "donor_h_index", "acceptor_index", "distance", "angle"]
print(f"{len(df)} h-bonds identified")

for i in range(len(df)):
    donor_atom.append(u.select_atoms("index {:.0f}".format(df["donor_index"][i])).names[0])
    acceptor_atom.append(u.select_atoms("index {:.0f}".format(df["acceptor_index"][i])).names[0])

atom_df = pd.DataFrame({"donor_atom":pd.Series(donor_atom), "acceptor_atom":pd.Series(acceptor_atom)})
print(f"Unique donors: {atom_df.donor_atom.unique()}")
print(f"Unique acceptors: {atom_df.acceptor_atom.unique()}")