###################################################################
# 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: -95318512
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         -6.6      3.248      6.232
   3         -6.5     21.151     29.489
   4         -6.5      3.336     11.203
   5         -6.3     16.987     25.076
   6         -6.3      2.671     13.343
   7         -6.3     20.337     25.708
   8         -6.1     15.823     25.154
   9         -6.0      2.854      5.902
  10         -6.0     24.037     31.116
  11         -6.0     19.857     26.938
  12         -6.0     18.529     23.529
  13         -5.9      3.005      6.282
  14         -5.9     24.657     32.053
  15         -5.9      3.658      6.333
  16         -5.8     25.697     32.622
  17         -5.7      3.219      7.386
  18         -5.6     17.661     21.352
  19         -5.5      2.632      6.250
  20         -5.5      3.176      7.356
Writing output ... done.