###################################################################
# 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: -1958122153
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.9      0.000      0.000
   2         -6.3     25.274     29.570
   3         -6.1      2.811      6.679
   4         -6.1     14.978     19.542
   5         -6.0      6.712     12.761
   6         -5.9      3.389     11.979
   7         -5.9      4.617     10.886
   8         -5.9     23.837     28.744
   9         -5.9     24.444     29.297
  10         -5.8     23.668     29.863
  11         -5.8     22.600     28.751
  12         -5.8     23.069     28.034
  13         -5.8     23.224     29.105
  14         -5.8     23.788     29.319
  15         -5.7      4.405      9.616
  16         -5.7     24.285     30.501
  17         -5.7      3.586      7.324
  18         -5.7      5.094     12.545
  19         -5.6     24.704     26.869
  20         -5.5     23.365     28.159
Writing output ... done.