###################################################################
# 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: -694349640
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.7      0.000      0.000
   2         -7.4      4.812     12.355
   3         -7.4      3.201      6.449
   4         -7.3      3.129     13.549
   5         -7.2     21.125     26.187
   6         -7.1      3.078      9.770
   7         -7.0      3.648     11.691
   8         -7.0      3.488      8.767
   9         -7.0     21.976     25.827
  10         -6.9      5.240     11.382
  11         -6.9      3.562     11.410
  12         -6.8      4.872     14.848
  13         -6.8     17.933     23.853
  14         -6.7      4.411     10.187
  15         -6.7      3.635      8.664
  16         -6.6      4.625      9.311
  17         -6.5      3.682      8.045
  18         -6.5     22.110     27.288
  19         -6.5      4.980     14.230
  20         -6.3      3.789     12.811
Writing output ... done.