###################################################################
# 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: 894147024
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.3      0.000      0.000
   2         -6.2     12.033     18.800
   3         -6.1     12.692     18.624
   4         -5.8     21.910     27.107
   5         -5.7      8.766     16.391
   6         -5.7     17.454     25.646
   7         -5.7     21.294     26.487
   8         -5.7     20.201     25.831
   9         -5.6     14.726     22.146
  10         -5.6     10.426     17.802
  11         -5.6     19.814     27.855
  12         -5.6     13.061     19.862
  13         -5.5      4.875      9.774
  14         -5.5     15.702     22.297
  15         -5.5     20.816     27.798
  16         -5.4      5.975     11.591
  17         -5.4      4.121     11.762
  18         -5.3     15.173     22.255
  19         -5.3      9.723     14.717
  20         -5.2     20.920     28.286
Writing output ... done.