###################################################################
# 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: -233505216
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -8.1      0.000      0.000
   2         -8.0      3.462      8.666
   3         -7.8     21.160     30.817
   4         -7.8      2.931     11.489
   5         -7.7      2.467     11.351
   6         -7.7      2.953      7.977
   7         -7.6      6.248     10.740
   8         -7.5      5.956     10.531
   9         -7.5      2.837     11.248
  10         -7.4      4.125      9.161
  11         -7.4      7.342     11.535
  12         -7.4      2.640      7.991
  13         -7.4      3.180      8.434
  14         -7.4      4.249     10.242
  15         -7.4      5.183     11.119
  16         -7.2      4.530     10.869
  17         -7.2      2.700     12.119
  18         -7.2      3.729     12.238
  19         -7.1      3.040      7.822
  20         -6.9     22.269     28.002
Writing output ... done.