###################################################################
# 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: -1234218163
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.1      0.000      0.000
   2         -7.1     15.597     22.065
   3         -7.0      4.102      8.801
   4         -7.0     17.116     20.806
   5         -7.0      8.554     14.990
   6         -6.9      4.203     10.062
   7         -6.9     16.713     20.857
   8         -6.9     15.457     21.470
   9         -6.8      4.931     11.809
  10         -6.8     16.133     21.136
  11         -6.8     16.241     20.792
  12         -6.7      5.829     13.383
  13         -6.7      5.107     12.372
  14         -6.6      6.568     12.851
  15         -6.6      4.409      8.951
  16         -6.6      6.884     12.396
  17         -6.6     16.227     21.762
  18         -6.5      4.097      8.546
  19         -6.4     16.720     21.857
  20         -6.3     15.882     21.773
Writing output ... done.