###################################################################
# 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: -1637402791
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         -5.7     19.458     23.624
   3         -5.6      2.907      6.633
   4         -5.6      2.969      6.191
   5         -5.5     25.356     31.064
   6         -5.5      3.803     10.369
   7         -5.4     23.314     28.903
   8         -5.4      2.537      5.017
   9         -5.4      3.534      7.002
  10         -5.4      3.017     11.640
  11         -5.3      3.535     11.293
  12         -5.3      3.572      7.920
  13         -5.3      2.739     11.126
  14         -5.3      4.715      8.891
  15         -5.3     20.081     27.989
  16         -5.2      2.723      5.701
  17         -5.2      1.994      3.526
  18         -5.2      3.081     11.579
  19         -5.1      2.641     11.706
  20         -5.0      3.423     10.083
Writing output ... done.