###################################################################
# 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: 1250647292
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.5      0.000      0.000
   2         -6.5     20.690     27.589
   3         -6.0     24.159     30.360
   4         -6.0     28.757     35.778
   5         -5.9     20.959     27.152
   6         -5.8      2.287      4.617
   7         -5.7     25.657     32.081
   8         -5.6      2.171      3.559
   9         -5.6     25.654     30.274
  10         -5.6      3.657      7.554
  11         -5.6      2.713     13.239
  12         -5.6     20.184     27.277
  13         -5.5     24.213     30.389
  14         -5.5      3.264      6.526
  15         -5.4     17.529     22.065
  16         -5.4     21.065     26.215
  17         -5.4      4.434      9.824
  18         -5.3     21.466     27.464
  19         -5.3     23.236     29.750
  20         -5.2      4.173      8.106
Writing output ... done.