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Table 1 Servers evaluated in this work

From: Antibody-protein interactions: benchmark datasets and prediction tools evaluation

Server name

Method type

Training dataset

Reference

CEP (Conformational Epitope Prediction)

Discontinuous epitope prediction based on residue solvent accessibility and spatial distribution.

No training set.

[48]

DiscoTope

Discontinuous epitope prediction based on amino acid statistics, residue solvent accessibility and spatial distribution.

75 structures of antibody-antigen complexes.

[49]

ProMate

Protein-protein binding interface prediction based on significant structural and sequence interface properties.

Manually curated; 57 protein involved in heterodimeric transient interactions (excluding antigen-antibody complexes).

[55]

PIER (Protein IntErface Recognition)

Protein-protein binding interface prediction based on local statistical properties of the protein surface derived at the level of atomic groups.

490 homodimeric, 62 heterodimeric and 196 transient interfaces (excluding antigen-antibody complexes).

[54]

PPI-PRED (Protein-Protein Interface Prediction)

Protein-protein binding interface prediction based on significant structural and sequence interface properties.

Manually curated; 180 proteins from 149 complexes both obligate (114) and transient (66).

[53]

ConSurf

Mapping of phylogenetic information (sequence conservation grades) on to the surface of proteins with known 3D structure.

No training set.

[56]

ClusPro (DOT program)

Rigid-body protein-protein docking based on the Fast-Fourier Transform correlation approach.

No training set.

[50] [51]

PatchDock

Rigid-body protein-protein docking based on local shape feature matching.

No training set.

[52]