###################################################################
# 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: 1582712889
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -5.6      0.000      0.000
   2         -5.1      2.362      5.998
   3         -5.1     22.053     27.676
   4         -4.9      3.089      7.352
   5         -4.8      2.429     10.135
   6         -4.7     24.662     29.108
   7         -4.7      2.079      4.692
   8         -4.7      2.405      5.608
   9         -4.6      2.682      5.640
  10         -4.6     18.735     24.398
  11         -4.6      3.369      6.515
  12         -4.6      3.514     10.717
  13         -4.6      2.900      9.498
  14         -4.6      2.191      9.266
  15         -4.6     28.867     35.694
  16         -4.6     29.029     35.898
  17         -4.5     25.780     31.593
  18         -4.4     28.496     35.370
  19         -4.2      2.458      5.265
Writing output ... done.