###################################################################
# 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: -677425154
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.7      0.000      0.000
   2         -7.6      3.018     14.747
   3         -7.5     24.495     29.925
   4         -7.3      4.777     17.378
   5         -7.2      6.257     16.095
   6         -7.2     24.574     32.335
   7         -7.2     23.492     27.687
   8         -7.1     25.430     32.083
   9         -7.1     26.963     33.132
  10         -7.1     23.062     26.682
  11         -7.0     24.620     32.372
  12         -7.0     32.080     38.186
  13         -7.0     24.897     28.925
  14         -7.0      4.265      6.934
  15         -7.0     24.288     30.297
  16         -6.9     23.617     31.292
  17         -6.9     25.366     28.684
  18         -6.9     26.173     31.087
  19         -6.8     26.035     32.165
  20         -6.7     22.948     26.717
Writing output ... done.