###################################################################
# 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: -1500259260
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.8      0.000      0.000
   2         -6.8      5.268     12.966
   3         -6.7     24.724     30.445
   4         -6.6      3.114      6.391
   5         -6.5     27.108     31.428
   6         -6.4     25.110     29.303
   7         -6.3     25.352     32.191
   8         -6.3     27.451     33.219
   9         -6.3      5.737     10.758
  10         -6.3     24.358     29.365
  11         -6.3     22.782     28.829
  12         -6.2     23.224     27.411
  13         -6.2     18.242     26.347
  14         -6.2     25.155     29.482
  15         -6.2      6.261     12.358
  16         -6.1     11.479     20.758
  17         -6.0     10.704     19.705
  18         -6.0     32.145     37.295
  19         -5.9     27.988     33.898
  20         -5.9     16.557     24.777
Writing output ... done.