###################################################################
# 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: -1695775376
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -9.9      0.000      0.000
   2         -9.8      3.139      5.806
   3         -9.8      2.751      5.415
   4         -9.7      2.889      6.269
   5         -9.7      2.987      5.607
   6         -9.4      5.408     17.331
   7         -9.4      2.972      6.374
   8         -9.4      7.484     15.712
   9         -9.4      9.853     17.273
  10         -9.3      2.918     17.769
  11         -9.3      5.628     17.820
  12         -9.3      4.644      8.897
  13         -9.2      4.377      7.882
  14         -9.2      3.104     18.117
  15         -9.2      3.629     18.076
  16         -9.2      3.495     16.387
  17         -9.2      2.878      5.491
  18         -9.1      3.116      5.632
  19         -9.0      3.189      5.475
  20         -8.9     10.262     17.591
Writing output ... done.