###################################################################
# 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: -14746648
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -9.1      0.000      0.000
   2         -8.7      4.229     11.941
   3         -8.6      3.638      5.297
   4         -8.5      3.111      5.442
   5         -8.3      2.677      9.945
   6         -8.2      2.935     10.297
   7         -8.2      3.043     10.426
   8         -8.2      4.968     12.052
   9         -8.1      3.766     11.069
  10         -8.1      3.087      6.350
  11         -8.0      3.355      9.071
  12         -8.0      2.252      4.678
  13         -8.0      3.359     10.198
  14         -7.9      3.564     10.409
  15         -7.8      3.094     10.464
  16         -7.8      3.856      6.615
  17         -7.8      4.813     11.854
  18         -7.7      4.510     11.811
  19         -7.7      3.921      7.346
  20         -7.7      3.900     11.339
Writing output ... done.