###################################################################
# 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: -1098194302
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.5      0.000      0.000
   2         -6.1     24.883     29.829
   3         -6.1      2.576      5.136
   4         -6.0     27.125     36.573
   5         -5.7     20.640     26.791
   6         -5.7      3.070      6.579
   7         -5.7     27.637     33.206
   8         -5.7     23.953     29.957
   9         -5.6     29.115     33.998
  10         -5.6      3.809     12.760
  11         -5.6     20.095     25.951
  12         -5.6      2.919      6.461
  13         -5.6      3.812     11.560
  14         -5.5      3.514      7.006
  15         -5.5     19.735     26.003
  16         -5.5     26.807     34.357
  17         -5.4     19.225     25.934
  18         -5.4      3.457     11.533
  19         -5.3      3.687     12.011
  20         -5.3      3.423      6.293
Writing output ... done.