###################################################################
# 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: -125102328
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      3.251     11.495
   3         -5.5     17.497     21.638
   4         -5.5      3.985      8.336
   5         -5.4      3.132      7.876
   6         -5.4     18.082     23.827
   7         -5.4      6.918     13.011
   8         -5.2      5.268     13.784
   9         -5.2      4.476     14.404
  10         -5.2     12.342     19.764
  11         -5.2      6.203     10.250
  12         -5.2      5.729      9.922
  13         -5.1      4.823      9.366
  14         -5.1     17.820     21.689
  15         -5.1      4.509     12.179
  16         -5.1     17.944     22.151
  17         -5.0     18.024     23.833
  18         -5.0      9.215     16.144
  19         -4.9     18.453     22.586
  20         -4.8     19.939     25.030
Writing output ... done.