###################################################################
# 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: 724619640
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.8      0.000      0.000
   2         -7.7      2.532      7.070
   3         -7.6      2.383      7.722
   4         -7.6      5.064     11.654
   5         -7.5      2.322      7.822
   6         -7.4      2.833      6.333
   7         -7.3      2.939      9.367
   8         -7.3      2.983      7.579
   9         -7.3      3.363      8.610
  10         -7.3      2.426      8.083
  11         -7.1      2.611      7.930
  12         -7.1      2.839      7.721
  13         -7.1      2.236      6.791
  14         -7.0      2.923      7.558
  15         -7.0      2.497      7.899
  16         -7.0      2.593      6.097
  17         -6.9      3.141      8.681
  18         -6.9      3.101     10.476
  19         -6.8      2.765      8.784
  20         -6.8      4.405     11.439
Writing output ... done.