###################################################################
# 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: -987016708
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         -6.7      1.945      2.671
   3         -6.6      3.070     12.378
   4         -6.5     24.344     31.965
   5         -6.4      3.432      7.223
   6         -6.4     25.447     31.894
   7         -6.4      3.573      5.124
   8         -6.4     24.928     31.494
   9         -6.4      4.567     12.395
  10         -6.3     31.894     35.149
  11         -6.2      4.449     11.738
  12         -6.2     24.558     29.183
  13         -6.2      4.210      7.964
  14         -6.2     25.350     31.923
  15         -6.2      3.938      9.143
  16         -6.2     25.415     32.543
  17         -6.0     25.704     30.794
  18         -6.0     24.285     30.820
  19         -5.9      4.269     13.831
  20         -5.9     25.596     32.258
Writing output ... done.