###################################################################
# 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: 2093373440
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.1      0.000      0.000
   2         -7.1      2.983     14.001
   3         -6.8      3.640      7.365
   4         -6.8     20.121     26.842
   5         -6.8      7.124     12.929
   6         -6.8     22.029     27.413
   7         -6.8     21.493     27.133
   8         -6.7      3.304      6.382
   9         -6.7      3.791     12.216
  10         -6.7      4.464     13.145
  11         -6.6      3.407      6.282
  12         -6.6      2.377     15.105
  13         -6.5      7.311     12.460
  14         -6.5      3.019     15.437
  15         -6.5     21.581     26.523
  16         -6.5     22.565     28.419
  17         -6.5     22.335     28.096
  18         -6.4     19.461     24.400
  19         -6.4     21.810     26.000
  20         -6.4      3.373      6.277
Writing output ... done.