###################################################################
# 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: 2020064956
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -9.3      0.000      0.000
   2         -9.3      6.238     13.966
   3         -9.2      3.981     12.045
   4         -9.1      9.216     15.441
   5         -9.0      6.267     12.406
   6         -9.0      7.238     14.256
   7         -9.0      9.708     16.564
   8         -8.9      9.787     18.114
   9         -8.9     11.254     19.496
  10         -8.9     10.044     18.188
  11         -8.9      7.295     14.796
  12         -8.9      2.620     12.764
  13         -8.8      9.372     15.656
  14         -8.8      7.475     15.586
  15         -8.7      7.793     15.511
  16         -8.6      8.809     16.817
  17         -8.6      6.211     13.456
  18         -8.6      8.604     16.531
  19         -8.5     12.434     19.200
  20         -8.4      8.955     16.717
Writing output ... done.