Table 6.

Machine learning applied to in vitro epitope mapping methods.

Method	Brief summary	Ref.
Peptide array	De novo binding prediction	(135)
	Removal of systematic effects, unreliable measurements, and non-specific secondary antibody responses	(136)
	De novo prediction of signal-to-noise ratios	(58)
Cryo-EM	Automated particle selection	(137, 138)
	Denoising of images	(139)
	False positive pruning in single particle analysis	(140)
	Data pre-processing	(141)
	Ice thickness determination	(142)
	Resolution estimation	(143)
	Atom structure determination	(144)
	3D model building of protein backbone	(145)
	Resolution determination improved by Alphafold 2	(146)
X-ray crystallography	Prediction of crystallizability of a protein	(147, 148)
	Crystallization outcome classification	(149)
	Model correctness	(150)
	Protein solubility prediction	(151)
	Data reduction	(152)