###################################################################
# 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: 447152652
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -9.4      0.000      0.000
   2         -9.3      8.696     16.507
   3         -8.8      2.612     16.683
   4         -8.6      2.342      4.304
   5         -8.5      1.903      4.052
   6         -8.5      2.131      3.696
   7         -8.4      3.210     15.336
   8         -8.3      2.005      4.368
   9         -8.2      9.159     17.964
  10         -8.2      6.311     18.675
  11         -8.1      3.643     16.445
  12         -8.1      2.615      4.463
  13         -8.0      9.818     18.358
  14         -8.0      3.041      6.365
  15         -7.9      6.770     13.827
  16         -7.8     12.578     17.740
  17         -7.8      6.233     12.463
  18         -7.7     10.424     19.139
  19         -7.7      2.115      4.051
  20         -7.7      2.454      5.686
Writing output ... done.