###################################################################
# If you used Vina-GPU in your work, please cite:                 #
#                                                                 #
# Tang, S.; Chen, R.; Lin, M.; Lin, Q.; Zhu, Y.; Ding, J.; Hu, H.;#
# Ling, M.; Wu, J. Accelerating AutoDock Vina with GPUs.          #
# Molecules 2022, 27, 3041.                                       #
# https://doi.org/10.3390/molecules27093041                       #
#                                                                 #
# And also the origin AutoDock Vina paper:                        #
# O. Trott, A. J. Olson,                                          #
# AutoDock Vina: improving the speed and accuracy of docking      #
# with a new scoring function, efficient optimization and         #
# multithreading, Journal of Computational Chemistry 31 (2010)    #
# 455-461                                                         #
#                                                                 #
# DOI 10.1002/jcc.21334                                           #
#                                                                 #
###################################################################

WARNING: The search space volume > 27000 Angstrom^3 (See FAQ)
Reading input ... done.
Setting up the scoring function ... done.
Analyzing the binding site ... done.
Using random seed: 73894624
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.0      0.000      0.000
   2         -6.7     25.654     30.968
   3         -6.6     25.105     29.763
   4         -6.6     19.888     26.695
   5         -6.6     24.365     29.624
   6         -6.6     15.488     20.209
   7         -6.5     24.915     29.575
   8         -6.3     26.733     33.201
   9         -6.3     26.042     31.007
  10         -6.3     25.944     32.492
  11         -6.3     13.164     18.116
  12         -6.3     17.490     21.770
  13         -6.2     25.180     30.764
  14         -6.2     26.042     31.286
  15         -6.2     22.460     27.605
  16         -6.2     27.169     31.407
  17         -6.2     26.468     32.098
  18         -6.1     20.399     25.174
  19         -6.1     26.428     31.322
  20         -6.1     27.023     32.238
Writing output ... done.