###################################################################
# 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: 633623158
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.8      0.000      0.000
   2         -7.4     22.248     26.315
   3         -7.3      4.297      9.982
   4         -7.3      2.998      5.691
   5         -7.2      2.749      9.247
   6         -7.2      3.474      7.091
   7         -7.2      3.698     11.766
   8         -7.1     18.470     23.644
   9         -7.0      2.984      6.546
  10         -7.0     22.373     26.435
  11         -6.9     21.711     26.552
  12         -6.9      3.217     12.105
  13         -6.8     10.273     18.040
  14         -6.8      8.381     16.341
  15         -6.7      4.170     14.026
  16         -6.7      2.959     10.422
  17         -6.6      3.796      8.527
  18         -6.6     14.754     18.344
  19         -6.5      3.860      9.265
  20         -6.5      7.574     14.285
Writing output ... done.