###################################################################
# 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: -2894091
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -5.7      0.000      0.000
   2         -5.6     18.741     26.986
   3         -5.3      3.008      7.513
   4         -5.2     23.610     30.090
   5         -5.2      3.043      8.950
   6         -5.2      3.910      7.800
   7         -5.1      2.961     10.517
   8         -5.1     17.467     20.420
   9         -5.1     22.858     30.009
  10         -5.1     22.990     29.307
  11         -5.0      3.489      8.616
  12         -5.0      2.518      4.223
  13         -5.0      2.716      7.082
  14         -5.0      3.081      8.605
  15         -5.0     19.466     26.664
  16         -5.0      2.517     12.179
  17         -4.9      3.172     13.345
  18         -4.8      3.409      7.618
  19         -4.8      4.519     11.199
  20         -4.8      3.491     11.352
Writing output ... done.