###################################################################
# 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: 559397122
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.1      0.000      0.000
   2         -6.8      4.438      9.082
   3         -6.7     21.823     28.637
   4         -6.7      3.391      9.676
   5         -6.6      2.747     10.153
   6         -6.5     24.952     29.901
   7         -6.5     27.280     31.785
   8         -6.4     24.686     29.733
   9         -6.4     34.669     38.076
  10         -6.3     26.027     30.630
  11         -6.2     20.468     27.499
  12         -6.2     34.613     37.275
  13         -6.2     22.073     27.439
  14         -6.1     21.881     29.225
  15         -6.1     28.056     33.944
  16         -6.1      3.633     10.530
  17         -6.1     23.647     29.172
  18         -6.0      5.783     11.757
  19         -6.0     10.412     16.296
  20         -5.9     26.718     29.783
Writing output ... done.