###################################################################
# 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: 40466342
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -8.4      0.000      0.000
   2         -8.4      2.603      7.319
   3         -8.4      2.941      9.625
   4         -8.2      2.691      6.868
   5         -8.1      2.712     10.049
   6         -8.1      2.436     11.532
   7         -8.1      2.819     11.347
   8         -8.1      2.733     10.683
   9         -8.0      3.032      9.573
  10         -8.0      3.384      7.368
  11         -7.9      2.868      9.752
  12         -7.8      2.539     10.704
  13         -7.8      2.961     10.043
  14         -7.8      2.992      5.411
  15         -7.7      2.812      9.187
  16         -7.7      3.030      9.517
  17         -7.7      2.963      9.700
  18         -7.7      4.377      6.851
  19         -7.5      3.735      7.381
  20         -7.5      3.292      9.806
Writing output ... done.