###################################################################
# 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: -683196265
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -9.5      0.000      0.000
   2         -9.5      3.002     16.560
   3         -9.3      1.906      3.216
   4         -9.1      2.667     17.076
   5         -8.9      2.200      3.816
   6         -8.8      3.088     16.908
   7         -8.8      2.016      2.773
   8         -8.7      3.819     16.785
   9         -8.7      2.250      3.436
  10         -8.6      3.349     16.287
  11         -8.6      5.086     10.354
  12         -8.4      2.639      6.594
  13         -8.4      2.780      5.520
  14         -8.3      6.414     18.999
  15         -8.3      2.510      4.065
  16         -8.2      2.111      2.770
  17         -8.2      9.668     21.048
  18         -8.1      2.128      3.160
Writing output ... done.