###################################################################
# 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: 1299469406
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.9      0.000      0.000
   2         -7.9      3.109      5.506
   3         -7.7      4.586     10.366
   4         -7.7      4.242      7.100
   5         -7.5      2.464     14.757
   6         -7.4      2.514     13.971
   7         -7.4      2.960      5.204
   8         -7.4      3.683      5.631
   9         -7.4      2.895     12.287
  10         -7.3      4.433      8.863
  11         -7.3      5.230     12.702
  12         -7.3      4.211      7.971
  13         -7.3     21.067     27.164
  14         -7.2      2.404      4.583
  15         -7.2      3.007     14.853
  16         -7.2      5.283      8.950
  17         -7.2      2.700     14.244
  18         -7.1     23.719     29.619
  19         -7.1      2.636      4.987
  20         -6.8      9.898     16.709
Writing output ... done.