###################################################################
# 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: -1973530227
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.0      0.000      0.000
   2         -5.9      5.614     11.654
   3         -5.8     22.957     29.150
   4         -5.8      3.186     11.722
   5         -5.8      3.433     10.931
   6         -5.8      2.955      9.105
   7         -5.6      2.573     10.020
   8         -5.6      5.347     11.109
   9         -5.6     21.653     25.104
  10         -5.5     19.356     22.951
  11         -5.5     20.785     24.020
  12         -5.5     21.426     24.689
  13         -5.4      2.823      4.192
  14         -5.4      4.054     10.441
  15         -5.4     21.633     24.999
  16         -5.3     21.722     24.958
  17         -5.3     23.893     27.711
  18         -5.3      2.828     11.995
  19         -5.2      3.741     10.031
  20         -5.2     21.616     24.867
Writing output ... done.