###################################################################
# 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: -950419215
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -8.0      0.000      0.000
   2         -7.9     19.012     22.379
   3         -7.8     24.467     31.353
   4         -7.7      5.940     16.028
   5         -7.6     19.897     23.817
   6         -7.5      3.248      6.283
   7         -7.5     22.045     25.446
   8         -7.5      5.680     15.445
   9         -7.5      4.015      9.778
  10         -7.5      4.706     11.863
  11         -7.4      3.547     13.375
  12         -7.4      4.060      9.999
  13         -7.3      7.046     17.742
  14         -7.3      2.562     13.871
  15         -7.3      5.056      9.987
  16         -7.3      3.728     15.980
  17         -7.3     20.481     24.328
  18         -7.3      3.712     12.179
  19         -7.2      4.616      8.657
  20         -7.1     20.345     25.413
Writing output ... done.