###################################################################
# 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: -1435460958
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -8.7      0.000      0.000
   2         -8.5      3.648     14.541
   3         -8.5      3.635     12.243
   4         -8.4      2.917     10.318
   5         -8.3      3.076      6.991
   6         -8.3      3.136     12.179
   7         -8.2      3.119     11.688
   8         -8.1      3.234      8.406
   9         -7.9      3.659      5.913
  10         -7.9      4.111     12.203
  11         -7.9      3.558     12.533
  12         -7.9      4.115     13.650
  13         -7.8      2.911      4.698
  14         -7.8      2.672     13.740
  15         -7.7      3.254     13.916
  16         -7.6      2.978     14.310
  17         -7.5      4.830     12.333
  18         -7.5      2.486     12.912
  19         -7.5      5.160      9.428
  20         -7.4      3.698     13.786
Writing output ... done.