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. 2022 Oct 20;27(20):7103. doi: 10.3390/molecules27207103

Table 1.

Comparison of binding site identification methods.

Method Principle Example Tool Available Applicable Conditions Advantage Disadvantage
Ligand-specific method Interaction with different types of ligands SXGBsite [47] FOSS Require specific ligand types Accurate prediction of sites for the desired ligand type Poor performance for non-specific ligand types
General-purpose
methods
Sequence-based Residue conservation Concavity FOSS Only known sequence Effective identification of sequence-conserved sites Exclude physicochemical characteristics
Template-based Sequence similarity LIBRA-WA NA Known protein with high homology in databases Acceptable predictive ability for conserved sites Poor prediction of novel sites
Structure-based Geometry-based Geometric characteristics Sitemap FOSS Require specific geometric features High prediction rates in large and superficially bound cystic cavities Do not consider ligand binding energy
Energy-based Energy of interactions FTSite Free Require excellent ligand binding energy Superior performance in predicting ligand binding energy Exclude geometric features
Consensus-based Comprehensive assessment of the above four methods COACH FOSS All feasible Address inter-method limitations Time consuming with huge amounts of data

Note: FOSS = free and open-source software; NA = not available.