###################################################################
# 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: 1658879776
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.7      0.000      0.000
   2         -6.7     13.375     19.751
   3         -6.6      7.378     14.002
   4         -6.5      5.112     10.447
   5         -6.4      2.510      5.030
   6         -6.4      2.912      5.084
   7         -6.3     20.479     26.225
   8         -6.2      2.525     17.889
   9         -6.2     15.631     21.365
  10         -6.2      2.660     17.379
  11         -6.2      4.010     16.629
  12         -6.1      4.992     11.688
  13         -6.1      4.556     12.974
  14         -6.1     10.495     21.058
  15         -6.0     12.518     18.956
  16         -6.0      2.752      5.052
  17         -6.0      4.354     17.706
  18         -6.0      2.800      5.958
  19         -6.0      2.270      4.480
  20         -6.0     15.443     23.023
Writing output ... done.