###################################################################
# 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: -991610648
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -5.1      0.000      0.000
   2         -5.0      3.211     10.499
   3         -4.8     21.239     29.210
   4         -4.7     20.215     26.768
   5         -4.6     24.978     29.980
   6         -4.6      4.452      8.256
   7         -4.6     23.415     28.495
   8         -4.6      4.719      9.627
   9         -4.5      4.930      9.232
  10         -4.5      2.251      3.597
  11         -4.5     24.651     29.471
  12         -4.5      8.028     12.338
  13         -4.4      3.186      6.260
  14         -4.4     15.056     22.219
  15         -4.4     20.183     26.805
  16         -4.4     25.658     33.205
  17         -4.4      5.600      8.551
  18         -4.4     27.900     32.484
  19         -4.3      3.227      7.123
  20         -4.3     20.017     28.669
Writing output ... done.