###################################################################
# 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: -1899283012
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.4      0.000      0.000
   2         -6.4     27.056     31.878
   3         -6.3      3.731      6.851
   4         -6.2      3.758      7.298
   5         -6.1     23.134     27.163
   6         -6.0      3.609     11.134
   7         -5.9     21.826     26.970
   8         -5.9      2.214      6.783
   9         -5.9      3.601      6.874
  10         -5.8      3.576      7.067
  11         -5.8     20.840     27.388
  12         -5.8      3.957      9.170
  13         -5.7      5.664     11.442
  14         -5.7      4.692     11.058
  15         -5.7      4.127      7.700
  16         -5.7     30.450     33.989
  17         -5.7     20.072     26.645
  18         -5.7      3.855     10.990
  19         -5.7     18.483     25.240
  20         -5.5     27.961     32.964
Writing output ... done.