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Agentes de unión de péptidos de bajo coste y personalizados para proteínas diana

Resumen

Tipo:
Oferta Tecnológica
Referencia:
TOIT20171206001
Publicado:
05/01/2018
Caducidad:
05/01/2019
Resumen:
Un grupo de investigación italiano especializado en física estadística y biológica ha desarrollado algoritmos y protocolos computacionales capaces de optimizar la secuencia y conformación de la unión de péptidos que reconocen con alta afinidad un epítopo de proteínas seleccionadas a priori. El reconocimiento molecular de proteínas diana es uno de los enfoques fundamentales en medicina y biología molecular para obtener información analítica valiosa. Los péptidos personalizados pueden diseñarse para el reconocimiento específico de cualquier sitio de unión de proteínas. Este enfoque permite resolver los problemas de selectividad en proteínas que presentan varios conformadores, homodímeros o divisiones. El grupo de investigación busca socios industriales con el fin de validar la tecnología en un entorno operativo y establecer acuerdos de licencia y joint venture.


Details

Tittle:
Low cost personalized peptide binders for protein targets
Summary:
An Italian research group specialized in the field of statistical and biological physics has developed proprietary algorithms and computational protocols capable to optimize the sequence and binding conformation of peptides that recognize with high affinity an a priori selected protein epitope. They are looking for licence and joint ventures agreements with industrial partners to validate the technology in operational environment.
Description:
Molecular recognition of protein targets is one of the most fundamental approaches in medicine and molecular biology for obtaining valuable analytical information. Peptides as protein binders have become a valid option in the framework of protein recognition, due to their numerous advantages, such as the fast and low-cost synthesis, or their high stability and versatility. However, the optimization of peptide sequences is usually performed by panning immune libraries, followed by punctual mutations to refine the binding affinity, an expensive and time consuming methodology. Moreover, these approaches do not allow for a control over their target binding site, therefore not allowing to fine-tune the bio-responsiveness of a device.

The solution to these problems relies on the computational design which allow to address the forementioned drawbacks in the current approaches. In silico design of peptides takes advantage of the growing computing power and the accuracy enhancement of binding affinity predictions to optimize from scratch peptides as binders of specific targets.
The developed computational protocol is capable to optimize the sequence and binding conformation of peptides that recognize with high affinity an a priori selected protein epitope.

The research group is looking for a cooperation with industrial partners, possibly companies operating in the sectors of drug discovery and food and environment safety. They are offering licence and joint ventures agreements to validate the technology in operational environment.
Advantages and Innovations:
Personalized peptides can be designed for the specific recognition of any protein binding site, which is previously chosen. This approach allows solving most of selectivity issues in proteins presenting several conformers, homodimers or cleavages.

The main advantages are: fast and low-cost design; personalized peptides designed specifically for the recognition of "difficult" protein systems; personalized peptides can be also designed as bioactive peptides able to modify the enzymatic activity.
Stage of Development:
Field tested/evaluated
IPs:
Exclusive rights

Partner sought

Type and Role of Partner Sought:
Type of partner: companies operating in the sectors of drug discovery and food and environment safety.

Role: joint activity in the peptide design and implementation (as well as its operational validation) for the recognition of a specific molecule proposed by the industrial partner, who will be entitled to negotiate an exclusive right of commercial exploitation of the final product.

Client

Type and Size of Client:
University
Already Engaged in Trans-National Cooperation:
No
Languages Spoken:
English

Keywords

Technology Keywords:
07001003 Biocontrol
06006012 Bioprocesos
10001002 Evaluación de riesgo e impacto medioambiental
06001012 Investigaciones médicas
06001015 Productos farmacéuticos / medicamentos