###################################################################
# 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: -1883731712
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.9      0.000      0.000
   2         -6.4     19.526     23.638
   3         -6.3     29.109     35.381
   4         -6.3     27.805     32.591
   5         -6.2     19.776     24.391
   6         -6.1     29.391     34.264
   7         -6.1     17.477     21.439
   8         -6.1     19.648     24.086
   9         -6.1     16.988     21.015
  10         -6.0      2.472      4.746
  11         -6.0     18.508     22.637
  12         -5.9     28.347     33.591
  13         -5.8     18.901     23.069
  14         -5.8     19.251     23.765
  15         -5.8     19.513     23.593
  16         -5.8     33.408     37.033
  17         -5.7      2.924      6.168
  18         -5.7     21.724     24.304
  19         -5.7      3.692     10.835
  20         -5.7     15.142     19.100
Writing output ... done.