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Nuevo sistema para conseguir altos valores de rendimiento en la exploración de grandes conjuntos de datos y cálculos en tiempo real para el tratamiento de bases de datos muy grandes

Resumen

Tipo:
Oferta Tecnológica
Referencia:
TOES20170804001
Publicado:
10/10/2017
Caducidad:
10/10/2018
Resumen:
Una empresa española perteneciente al sector de biotecnología ofrece una metodología informática probabilística para explorar grandes conjuntos de datos con altos valores de rendimiento. Un ejemplo de aplicación se encuentra en las fases tempranas de descubrimiento de fármacos para identificar nuevos compuestos que presentan actividad biológica. El sistema reduce el coste de hardware y energía y aumenta la velocidad de procesamiento. La principal ventaja radica en que las estructuras lógicas pueden reproducirse cientos de veces en una FPGA para obtener un alto paralelismo con un coste mínimo, y que puede aplicarse en numerosas disciplinas científicas en las que se extrae información útil de grandes bases de datos. La tecnología ha sido patentada. La empresa ofrece la tecnología bajo acuerdos de servicio.


Details

Tittle:
New system able to achieve large performance values in the exploration of large datasets and calculations in real time for treatment of very large databases
Summary:
Spanish biotechnological company offers a probabilistic computer methodology system that is able to explore large datasets with large performance values. One example of application is in early stages of drug discovery, to identify new compounds presenting biological activity. The system reduces the cost of hardware and energy, increasing processing speed. Patents already granted for this technology. The company offers their technology for services agreement.
Description:
The Spanish bio-technological SME has developed a new system able to achieve large performance values in the exploration of large datasets due to the huge parallelism that is achieved with probabilistic computing methodologies. The logic structures can be replicated hundreds of times in a single FPGA (Field-Programmable Gate Array) in order to obtain a high parallelism with a minimum cost. It can be applied to multiple scientific disciplines where useful information has to be extracted from huge databases. The company is interested in services agreement in order to offer its services by applying this technology to the client needs.

The team is composed of scientists from the University of Cambridge and the University of Barcelona (UK / Spain) with a large experience in areas such as crystal engineering and supramolecular chemistry obtained through academic research projects and collaboration with the pharmaceutical industry. Its work is always carried out in close collaboration with the client´s researchers, adapted to the customer´s needs and under strict confidentiality conditions.

One of the fields in which the invention could have a greater impact is in the early stages of drug discovery, where virtual screening techniques must be used to identify novel drug leads from large molecular databases. Those databases can contain thousands of millions of molecules that must be screened in the research of new compounds presenting biological activity. The use of conventional techniques must use multiprocessor computations (cloud computing, clusters, supercomputing, etc.). With the present technology, the costs in terms of hardware and energy would be reduced considerably, in the same factor in which the processing speed is increased.

The technology is also applicable to any other scientific or technologic field in which is necessary the exploration of large datasets in a reasonable time. More specifically, it is able to compare a reference vector with different vectors selected from a database.

Therefore, large databases can be explored in large packets of vectors. The response of the probabilistic system is to provide at its output the label of the vector that is closer to the vector used as a reference (if this vector exists in the selected packet). The system is designed for the quick exploration of huge databases. The results of each comparison are stored in a memory.

The techniques that are used to implement the digital comparators are inspired in the neural behaviour, based in the interaction of multiple action potentials in biological neural networks that, following the basic probabilistic laws, are able to compare and process in parallel big information sets.
Advantages and Innovations:
The principal innovative aspect is the use of probabilistic techniques that are able to increase processing speed with respect to traditional deterministic techniques. These techniques are more appropriate for the processing of huge amounts of information in reasonable times. With the present technology, the costs in terms of hardware and energy would be reduces considerably, in the same factor in which the processing speed is increased.

The main advantage is that the logic structures can be replicated hundreds of times in a single FPGA in order to obtain a high parallelism with a minimum cost, and that it can be applied to multiple scientific disciplines where useful information has to be extracted from huge databases.

The system represents a great step in the exploration of huge databases in reasonable times. The processing speed of the system is orders of magnitude quicker with respect traditional microprocessor-based comparisons.
Stage of Development:
Already on the market
IPs:
Patents granted

Partner sought

Type and Role of Partner Sought:
An organisation in need of calculations in real time for treatment of very large databases. Some examples: pharmaceutical, agro-chemical, fine chemicals companies. The role will be provide the details in order to be able to characterise the database.

Client

Type and Size of Client:
Industry SME <= 10
Already Engaged in Trans-National Cooperation:
Si
Languages Spoken:
English

Keywords

Technology Keywords:
06002 Biología / biotecnología