###################################################################
# 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: -2036309848
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -5.4      0.000      0.000
   2         -5.2      2.143      4.749
   3         -5.2      3.716     10.088
   4         -5.0     30.697     34.661
   5         -5.0     25.607     30.020
   6         -5.0     22.489     27.414
   7         -5.0     28.073     34.326
   8         -4.9      2.320      6.423
   9         -4.9     20.601     24.812
  10         -4.9      2.320      9.943
  11         -4.8     18.927     23.860
  12         -4.8     28.595     33.971
  13         -4.8      5.118     12.234
  14         -4.8      4.308     10.761
  15         -4.8      2.440      9.850
  16         -4.8     14.822     19.612
  17         -4.7      2.369      9.387
  18         -4.7     14.762     20.762
  19         -4.7     22.420     27.501
  20         -4.6     27.475     32.498
Writing output ... done.