###################################################################
# 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: 285389440
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -9.0      0.000      0.000
   2         -8.8      2.312      4.908
   3         -8.7      2.807      6.266
   4         -8.6      3.037      7.510
   5         -8.6      3.710      8.095
   6         -8.5      1.526      3.098
   7         -8.3      5.171     15.577
   8         -8.3      2.523      6.643
   9         -8.2      2.853      4.800
  10         -8.1      2.977     12.668
  11         -8.1      3.569      7.368
  12         -7.9      3.485      7.009
  13         -7.9      3.671      9.558
  14         -7.8      3.400      7.291
  15         -7.8      2.723     12.199
  16         -7.8      2.702     13.675
  17         -7.6      2.772     12.484
  18         -7.5      2.356      3.235
Writing output ... done.