###################################################################
# 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: 808459330
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.6      0.000      0.000
   2         -5.9      3.766     10.693
   3         -5.9     23.028     27.872
   4         -5.8      3.984      8.824
   5         -5.6      2.588      6.721
   6         -5.5     21.735     25.876
   7         -5.5      6.374     14.818
   8         -5.5     20.370     24.833
   9         -5.5      4.227      9.902
  10         -5.5      2.431     11.847
  11         -5.4      6.418     15.297
  12         -5.4     18.972     23.318
  13         -5.4      5.318     14.219
  14         -5.3      5.694     14.381
  15         -5.3      3.760      9.342
  16         -5.2      5.786     14.107
  17         -5.2     20.383     25.382
  18         -5.2     18.894     22.833
  19         -5.2      6.950     14.684
  20         -5.1      3.490      8.016
Writing output ... done.