###################################################################
# 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: -698397636
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.7      0.000      0.000
   2         -7.6      5.169     11.562
   3         -7.3      5.431      9.782
   4         -7.3     29.859     34.207
   5         -7.1      4.223     10.084
   6         -7.0     27.118     30.036
   7         -6.9     26.313     30.989
   8         -6.9     25.456     28.978
   9         -6.9     30.000     34.442
  10         -6.9     28.751     32.040
  11         -6.9      3.353     10.537
  12         -6.9     24.913     31.673
  13         -6.8     30.220     33.771
  14         -6.8     21.550     30.224
  15         -6.8     33.182     38.918
  16         -6.8     26.913     30.506
  17         -6.8      4.929      9.198
  18         -6.7     25.229     29.323
  19         -6.7     20.480     27.575
  20         -6.7      5.929     10.329
Writing output ... done.