###################################################################
# 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: -371867574
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.9      0.000      0.000
   2         -6.4     18.802     26.036
   3         -6.2     12.756     20.467
   4         -6.2      6.391     10.177
   5         -6.2     12.030     18.977
   6         -6.1      3.481      5.699
   7         -6.1     18.883     23.288
   8         -6.1     20.313     26.452
   9         -6.1      2.747     11.897
  10         -6.1      4.320      9.743
  11         -6.0     21.205     26.533
  12         -6.0     15.474     21.037
  13         -6.0     12.212     18.202
  14         -5.9     11.668     16.791
  15         -5.9     10.757     16.760
  16         -5.9     11.997     19.096
  17         -5.8     21.243     27.424
  18         -5.8     12.537     20.420
  19         -5.8     10.513     18.545
  20         -5.8     18.637     25.910
Writing output ... done.