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Performance of individual chemical similarity methods on hypothetical libraries of linear peptides.

Fig. 3 Chemical similarity method performance on hypothetical libraries of linear peptides.

Fig. 4 Chemical similarity method performance on hypothetical libraries of linear products.

Chemical similarity method performance on hypothetical libraries of linear hybrid natural products with and without starter units.

Fig. 5 Chemical similarity method performance on hypothetical libraries of linear natural products as a function of natural product size.

Next, we use LEMONS to generate libraries of linear hypothetical nonribosomal peptides, polyketides, and hybrid natural products.

The first step in the LEMONS algorithm is the enumeration of a library of linear hypothetical natural product structures.

The design, synthesis and binding affinity for VEGFR-1 receptors of a small library of linear and cyclic analogues of the VEGF81 91 fragment are described.

In a second biopanning set, we analyzed the PHD12 library of linear peptides 12 amino acids long (IT7).

Using an N-substituted glycine oligomer scaffold, they produced a library of linear and cyclic scaffolds displaying azide moieties with specified spacing and valency.

A library of linear peptides is chemically converted into a matrix of conformationally constrained CLIPS peptides, and the potential epitopes are identified by monitoring binding affinity with the antibody of interest.