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  2. Exploring the chemical space of peptides for drug discovery: a focus on linear and cyclic penta-peptides

Exploring the chemical space of peptides for drug discovery: a focus on linear and cyclic penta-peptides

  • Mol Divers. 2018 May;22(2):259-267. doi: 10.1007/s11030-018-9812-9.
Bárbara I Díaz-Eufracio 1 Oscar Palomino-Hernández 1 Richard A Houghten 2 José L Medina-Franco 3
Affiliations

Affiliations

  • 1 School of Chemistry, Department of Pharmacy, Universidad Nacional Autónoma de México, Avenida Universidad 3000, 04510, Mexico City, Mexico.
  • 2 Torrey Pines Institute for Molecular Studies, Port St. Lucie, FL, 34987, USA.
  • 3 School of Chemistry, Department of Pharmacy, Universidad Nacional Autónoma de México, Avenida Universidad 3000, 04510, Mexico City, Mexico. [email protected].
Abstract

Peptide and peptide-like structures are regaining attention in drug discovery. Previous studies suggest that bioactive Peptides have diverse structures and may have physicochemical properties attractive to become hit and lead compounds. However, chemoinformatic studies that characterize such diversity are limited. Herein, we report the physicochemical property profile and chemical space of four synthetic linear and cyclic combinatorial peptide libraries. As a case study, the analysis was focused on penta-peptides. The chemical space of the peptide and N-methylated Peptides libraries was compared to compound data sets of pharmaceutical relevance. Results indicated that there is a major overlap in the chemical space of N-methylated cyclic Peptides with inhibitors of protein-protein interactions and macrocyclic Natural Products available for screening. Also, there is an overlap between the chemical space of the synthetic Peptides with Peptides approved for clinical use (or in clinical trials), and to other approved drugs that are outside the traditional chemical space. Results further support that synthetic penta-peptides are suitable compounds to be used in drug discovery projects.

Keywords

Chemical space; Cheminformatics; Combinatorial chemistry; Protein–protein inhibitors; Small molecules; Synthetic peptides.

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