###################################################################
# 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: -782447932
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -5.8      0.000      0.000
   2         -5.8      3.085     10.836
   3         -5.7      2.515     11.844
   4         -5.6      2.398     11.090
   5         -5.6     14.887     21.368
   6         -5.5     21.863     26.530
   7         -5.5      2.181      9.715
   8         -5.5      2.587     11.575
   9         -5.5      4.098      9.901
  10         -5.4      5.094     10.271
  11         -5.4      2.453      4.789
  12         -5.3      4.071     11.925
  13         -5.3     14.397     21.061
  14         -5.3      2.360      9.228
  15         -5.2     14.394     19.305
  16         -5.2      3.301     10.032
  17         -5.2      2.770     11.522
  18         -5.2      4.340     11.116
  19         -5.1      2.690     10.420
  20         -5.1      2.886     12.165
Writing output ... done.