###################################################################
# 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: 578319727
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.5      0.000      0.000
   2         -7.3      3.496     10.938
   3         -7.3      4.092      9.127
   4         -7.2      5.134     11.692
   5         -7.1      4.484     10.763
   6         -7.0      3.313      7.692
   7         -7.0      4.337      8.682
   8         -7.0      4.758      8.335
   9         -7.0      4.406      9.952
  10         -7.0      5.926     12.307
  11         -7.0      4.612      9.776
  12         -7.0      3.830     10.665
  13         -7.0      5.047     10.838
  14         -7.0      5.610     12.752
  15         -6.9      5.201     10.279
  16         -6.9      5.258     11.851
  17         -6.9      4.260     12.560
  18         -6.9      4.960      8.980
  19         -6.9      5.327     11.431
  20         -6.8      3.376     11.776
Writing output ... done.