###################################################################
# 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: -560287807
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      5.376     11.850
   3         -6.2      7.030     12.475
   4         -6.2      3.661      7.815
   5         -6.2     22.899     29.588
   6         -6.2     28.434     33.226
   7         -6.2     23.902     28.796
   8         -6.1     22.733     27.718
   9         -6.0     25.060     29.799
  10         -5.9      6.785     12.371
  11         -5.9     25.880     30.790
  12         -5.9      3.483     10.667
  13         -5.9      2.923      5.915
  14         -5.8      2.455      5.490
  15         -5.8      4.670     10.637
  16         -5.8      7.274     12.013
  17         -5.7     20.079     26.156
  18         -5.6      6.103     11.438
  19         -5.6      3.863      9.886
  20         -5.6      6.868     11.763
Writing output ... done.