###################################################################
# 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: -1838257812
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.6      0.000      0.000
   2         -7.1      3.090     14.640
   3         -7.1      4.217     14.085
   4         -7.1      4.142      8.597
   5         -7.0      2.517     13.077
   6         -6.8      3.873     14.923
   7         -6.8     18.830     23.107
   8         -6.7      3.112     15.202
   9         -6.7     20.519     25.969
  10         -6.7      3.743     15.470
  11         -6.6      5.934     12.352
  12         -6.6      3.095     14.221
  13         -6.5      3.526     14.446
  14         -6.5      3.537     15.157
  15         -6.5      3.110     14.570
  16         -6.5      4.145      8.319
  17         -6.4      7.594     11.241
  18         -6.4      2.701      6.297
  19         -6.3     20.206     25.581
  20         -6.3     26.935     31.502
Writing output ... done.