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. 2023 Jul 22;24(14):11784. doi: 10.3390/ijms241411784

Table 1.

The categorization and performance of theoretical methods of prediction of hydration structure.

Method Concept Type a #System/#Water b Match Tolerance (Å) SR (%)
3D-RISM c [85,86,87] Knowledge IF 18/113 d 2.5 91
IF 13/113 e 1.5 65
SF 8/101 e 1.5 60
AcquaAlta c [88] Geometry IF 20/77 1.4 76
Auto-SOL c [89] Geometry SF 5/1337 1.5 64
AQUARIUS f [90] Knowledge SF 7/1376 1.4 59
Fold-X c [91] Energy SF 74/2687 1.0 76
Forli et al., 2012 c [92] Geometry g IF 27/51 2.0 96
HADDOCK c [93] Geometry g IF 27/50 2.0 90
Huggins and Tidor, 2011 [94] Geometry IF 5/19 2.0 68
HydraMap c [95] Dynamic IF 13/113 e 1.5 72
SF 8/101 e 1.5 69
HyPred f [96] Dynamic SF 3/233 1.0 12
MobyWat c [13,40] Dynamic SF 20/1500 1.5 80
IF 31/344 1.5 90
Particle concept h [97] Geometry IF 200/232 1.5 35
Splash’Em c [98] Knowledge IF 91/230 1.0 62
SZMAP h [99] Knowledge IF 18/113 d 2.5 96
WaterDock c [100] Energy SF 7/92 2.0 88
WaterFLAP h [87,101,102] Knowledge IF 18/113 d 2.5 98
WaterMap h [37,87] Dynamic SF 1/11 1.5 82
IF 18/113 d 2.5 96
WarPP c [103] Geometry IF 1500/20,000 1.0 80
WATGEN f [104] Geometry IF 126/1264 2.0 88
WATsite c [95,105] Dynamic IF 13/113 e 1.5 75
SF 8/101 e 1.5 77

a Water molecules in the target–ligand interface (IF), and on unbound target surface (SF) are considered, respectively. b The count of systems/the count of experimental water oxygen positions used in the cited study for method validation. c Freeware or free trial for academic use. d These data are taken from the comparative paper [87]. e These data are taken from the paper [95]. f Website no longer available. g With docking search. h Commercially available.