###################################################################
# 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: 1590017727
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.6      0.000      0.000
   2         -6.2      3.700     13.558
   3         -6.2     23.644     29.739
   4         -6.0      2.723     11.473
   5         -5.9     28.479     32.750
   6         -5.9     25.001     28.203
   7         -5.9     22.515     28.868
   8         -5.9      4.204     11.794
   9         -5.8     25.968     30.001
  10         -5.8     25.971     29.786
  11         -5.8      3.794     10.904
  12         -5.7      2.670     12.285
  13         -5.7      3.064      5.621
  14         -5.7      4.887      9.738
  15         -5.7     26.505     30.895
  16         -5.7     24.421     28.758
  17         -5.6      2.749     11.129
  18         -5.5      2.799     10.054
  19         -5.4      5.322     11.851
  20         -5.4     23.311     28.692
Writing output ... done.