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Table 2 Global overview of major distinctions between natural versus synthetic Abs [1]

From: The rise of big data: deep sequencing-driven computational methods are transforming the landscape of synthetic antibody design

Properties

Natural Abs

Synthetic Abs

Experimentations

In vivo

In vitro

Associated technologies

Hybridoma

Molecular display (e.g. yeast, phage, ribosome)

Epitope binding

Broad

Selective

Output affinities

Limited

Expanded

Antigen conformation

Undefined

Defined

Sequential selections (for shared epitopes)

No

Yes

Defined selection conditions (e.g. pH, ions, competitors)

No

Yes

Molecular re-cloning (e.g. change format, add tag, dimerization, enzymatic fusion, autobiotinilation)

Difficult

Simple

Directed evolution (e.g. improve affinity, specificity, expression, stability)

Difficult

Simple

Ab framework

Limited

Broad

Amino acid positional frequencies and identities

No

Yes

Financial costs and resources

High

Low

Time for isolation and production

Long

Short

Integration into NGS platforms

Difficult

Easy

Amenable to automation

No

Yes

High-throughput

No

Yes

Overcome immunological tolerance

Difficult

Easy

Allows non-antibody scaffolds

No

Yes

Specificity for protein sequences and conformations

No

Yes

Target recognition (e.g. chemical modifications and small molecules)

Difficult

Simple