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System to Screen and Identify New Biologically Active Peptides

標題

Methods of Identifying Biologically Active Random Peptides in Plants and Libraries of Plants Expressing Candidate Biologically Active Random Peptides

詳細技術說明

None

*Abstract

Identifies New Peptide Sequences That Could Modulate Processes such as Plant Growth and Development and Inform Drug Design

This versatile high-throughput screening system tests the effects of millions of random peptide sequences on growth and development of a variety of organisms. As an example, this system has been used to introduce novel peptide sequences that affect the morphology and physical characteristics of plants. Peptides that produce specific phenotypic effects, such as longer roots or increased pest resistance could have an immense array of potential applications such as creating more colorful flowers, increasing crop yield, or developing environmentally safe, low toxicity herbicides.

Researchers at the University of Florida have developed a system for identifying new or previously unknown peptides with biological activities can be used to identify new leads for both agriculture and human medicine.

Application

System to identify novel peptides that have useful biologically activities

Advantages

• High-throughput screen to identify peptides with useful biological activities
• Functionally identifies vulnerabilities and opportunities, informing drug design
• Adaptable system that can be applied to many different organisms as long as the phenotype of interest can be readily measured

Technology

This screening system generates a library of DNA sequences coding for a random string of amino acids, flanked by cysteine residues. These sequences, when expressed in a plant, frequently resulting in a conspicuous phenotype. Plants which show potentially valuable traits are further analyzed to identify the nucleotide sequence and peptide that produced the effect. Because peptides can have such a broad array of effects, this system can effectively identify everything from ways of improving growth rate to changing the colors of flowers. In addition to plants, this screening approach can be used to inform drug design by allowing identification of specific chemical targets that interact with biological processes in animals and bacteria, which could lead to the development of new antibiotics.

Related to 16532

*IP Publication Date

Feb 22, 2018

*Principal Investigation

Name: Kevin Folta

Department:

申請日期

Oct 23, 2017

其他

國家/地區

美國