###################################################################
# 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: 2106472564
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.9      0.000      0.000
   2         -7.6      2.490     10.502
   3         -7.6     17.747     21.872
   4         -7.5      2.727     10.455
   5         -7.5      2.589     11.453
   6         -7.3      4.587      9.828
   7         -7.2      4.575     12.012
   8         -7.1      2.571     10.401
   9         -7.1     18.987     23.025
  10         -7.1      5.216     13.092
  11         -7.0     19.392     24.074
  12         -7.0      3.820     12.615
  13         -7.0     27.875     33.310
  14         -7.0      3.338     11.834
  15         -7.0      3.739      9.726
  16         -6.9      5.752     13.163
  17         -6.9     18.755     22.574
  18         -6.9      3.602     12.360
  19         -6.8     19.672     24.859
  20         -6.8      3.635     10.049
Writing output ... done.