###################################################################
# 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: -1717379758
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -9.4      0.000      0.000
   2         -9.3      9.326     17.178
   3         -9.3      5.887     11.488
   4         -9.2      8.297     16.386
   5         -9.2      8.485     17.831
   6         -9.1      8.846     18.904
   7         -9.1     10.153     16.549
   8         -9.1      7.803     15.913
   9         -9.0      7.485     15.279
  10         -8.9      8.675     16.686
  11         -8.9      6.768     16.099
  12         -8.9      9.376     17.035
  13         -8.9      3.320     15.207
  14         -8.9      3.181      6.796
  15         -8.8      9.204     16.740
  16         -8.8     10.452     18.308
  17         -8.6     10.518     18.186
  18         -8.6      8.133     18.684
  19         -8.5      7.493     15.514
  20         -8.5      8.663     17.295
Writing output ... done.