###################################################################
# 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: -205469424
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -5.9      0.000      0.000
   2         -5.7     20.270     24.775
   3         -5.6      3.971     12.126
   4         -5.3      2.503      9.547
   5         -5.3      3.357      5.652
   6         -5.2     21.284     25.745
   7         -5.2     19.284     23.054
   8         -5.2     19.723     23.487
   9         -5.2     17.487     21.545
  10         -5.2     23.851     26.782
  11         -5.1     30.586     34.993
  12         -5.1     20.290     24.869
  13         -5.0     21.701     26.444
  14         -5.0      3.216     10.736
  15         -5.0     19.024     23.654
  16         -5.0     17.162     21.379
  17         -5.0      5.352     10.187
  18         -5.0     32.845     36.255
  19         -4.9     19.140     23.394
  20         -4.9     22.724     26.850
Writing output ... done.