Literature DB >> 30009695

Synthetic Peptide Libraries: From Random Mixtures to In Vivo Testing.

Annamaria Sandomenico1, Andrea Caporale1, Nunzianna Doti1, Simon Cross2, Gabriele Cruciani2,3, Angela Chambery4, Sandro De Falco5, Menotti Ruvo1.   

Abstract

Combinatorially generated molecular repertoires have been largely used to identify novel bioactive compounds. Ever more sophisticated technological solutions have been proposed to simplify and speed up such process, expanding the chemical diversity space and increasing the prospect to select new molecular entities with specific and potent activities against targets of therapeutic relevance. In this context, random mixtures of oligomeric peptides were originally used and since 25 years they represent a continuous source of bioactive molecules with potencies ranging from the sub-nM to microM concentration. Synthetic peptide libraries are still employed as starting "synthetic broths" of structurally and chemically diversified molecular fragments from which lead compounds can be extracted and further modified. Thousands of studies have been reported describing the application of combinatorial mixtures of synthetic peptides with different complexity and engrafted on diverse structural scaffolds for the identification of new compounds which have been further developed and also tested in in vivo models of relevant diseases. We briefly review some of the most used methodologies for library preparation and screening and the most recent case studies appeared in the literature where compounds have reached at least in vivo testing in animal or similar models. Recent technological advancements in biotechnology, engineering and computer science have suggested new options to facilitate the discovery of new bioactive peptides. In this instance, we anticipate here a new approach for the design of simple but focused tripeptide libraries against druggable cavities of therapeutic targets and its complementation with existing approaches. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

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Keywords:  Divide-couple-recombine; Iterative deconvolution; Peptide libraries; Random mixtures; Solid phase peptide synthesis; in vivo testing.

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Year:  2020        PMID: 30009695     DOI: 10.2174/0929867325666180716110833

Source DB:  PubMed          Journal:  Curr Med Chem        ISSN: 0929-8673            Impact factor:   4.530


  4 in total

1.  Glioblastoma Extracellular Vesicle-Specific Peptides Inhibit EV-Induced Neuronal Cytotoxicity.

Authors:  Wenbo Zhou; Julia Craft; Alex Ojemann; Luke Bergen; Arin Graner; Aitana Gonzales; Qianbin He; Timothy Kopper; Marie Smith; Michael W Graner; Xiaoli Yu
Journal:  Int J Mol Sci       Date:  2022-06-28       Impact factor: 6.208

Review 2.  Concepts and Core Principles of Fragment-Based Drug Design.

Authors:  Philine Kirsch; Alwin M Hartman; Anna K H Hirsch; Martin Empting
Journal:  Molecules       Date:  2019-11-26       Impact factor: 4.411

Review 3.  Peptides, Antibodies, Peptide Antibodies and More.

Authors:  Nicole Trier; Paul Hansen; Gunnar Houen
Journal:  Int J Mol Sci       Date:  2019-12-13       Impact factor: 5.923

4.  The Screening of Combinatorial Peptide Libraries for Targeting Key Molecules or Protein-Protein Interactions in the NF-κB Pathway.

Authors:  Laura Tornatore; Daria Capece; Annamaria Sandomenico; Daniela Verzella; Davide Vecchiotti; Francesca Zazzeroni; Menotti Ruvo; Guido Franzoso
Journal:  Methods Mol Biol       Date:  2021
  4 in total

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