###################################################################
# 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: -52495984
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -8.5      0.000      0.000
   2         -8.5      3.095      7.296
   3         -8.5      3.728      8.458
   4         -8.2      2.473      4.760
   5         -8.1      2.273      3.661
   6         -8.1      2.292      5.121
   7         -8.0      2.566      6.331
   8         -8.0      3.736     15.881
   9         -7.9      1.889      3.160
  10         -7.8      2.603      6.151
  11         -7.7      2.452     15.817
  12         -7.7      3.261     16.347
  13         -7.6      2.809      5.996
  14         -7.6      7.883     13.451
  15         -7.6      2.318     16.056
  16         -7.4      2.756      6.206
  17         -7.3      3.048     16.811
  18         -7.3      8.432     15.561
  19         -7.3      7.587     15.940
  20         -7.2      8.525     20.015
Writing output ... done.