###################################################################
# 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: -874358720
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -5.2      0.000      0.000
   2         -5.1     28.829     34.081
   3         -5.0     23.531     29.221
   4         -4.7     24.038     29.922
   5         -4.7     25.067     30.101
   6         -4.6     25.446     30.506
   7         -4.6     31.556     36.854
   8         -4.6      3.395      7.630
   9         -4.6      4.317     12.167
  10         -4.5     25.351     30.491
  11         -4.5      7.023     14.153
  12         -4.5     25.026     32.263
  13         -4.5     29.913     35.447
  14         -4.4     24.555     30.245
  15         -4.4      4.982     11.488
  16         -4.4     13.579     18.987
  17         -4.3      2.909      6.471
  18         -4.3     26.366     32.342
  19         -4.3      9.356     13.584
  20         -4.2     26.745     31.889
Writing output ... done.