###################################################################
# 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: -268428374
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -8.2      0.000      0.000
   2         -8.1      3.589     12.779
   3         -8.0      3.682     13.392
   4         -7.9      2.870     13.277
   5         -7.8      2.262     12.418
   6         -7.8      3.667      8.986
   7         -7.7      2.740     13.458
   8         -7.7      2.757      6.908
   9         -7.6      2.977     13.957
  10         -7.6      2.459     13.176
  11         -7.6      3.168     12.665
  12         -7.5      3.279     13.055
  13         -7.5      3.372      7.787
  14         -7.4      3.755     13.076
  15         -7.4      3.153      8.543
  16         -7.4      4.197     13.963
  17         -7.4      2.466     13.812
  18         -7.3      2.889      6.565
  19         -7.1      1.855      3.083
  20         -7.1      2.784      6.076
Writing output ... done.