###################################################################
# 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: 94083982
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.4      0.000      0.000
   2         -6.2      3.075     10.096
   3         -6.2      4.802     12.092
   4         -6.2      2.110      4.163
   5         -6.1      8.266     16.659
   6         -6.1      2.539      7.521
   7         -6.1      2.381      6.724
   8         -6.0      3.230     11.111
   9         -6.0      2.434      6.815
  10         -6.0      2.519      8.269
  11         -6.0      2.544      4.197
  12         -5.9      3.062      8.058
  13         -5.8      3.231     11.623
  14         -5.8      2.567      7.230
  15         -5.8      2.543      9.786
  16         -5.8      2.629      7.859
  17         -5.7      2.760      8.153
  18         -5.7      2.668      8.601
  19         -5.7      3.056      7.692
  20         -5.7      2.693      7.335
Writing output ... done.