Forum for Science, Industry and Business

Sponsored by:     3M 
Search our Site:

 

Computational Tool Offers New Insight Into Key Biological Processes

06.03.2014

Researchers from North Carolina State University have developed a computational tool designed to guide future research on biochemical pathways by identifying which components in a biological system are related to specific biochemical processes, including those processes responsible for gene expression, cell signaling, stress response, and metabolism.

“Our goal was to identify modules, or functional units, which are critical to the performance of the biochemical pathways that govern a host of biological processes,” says Dr. Cranos Williams, an assistant professor of electrical and computer engineering at NC State and senior author of a paper describing the work.

“For example, a car has lots of modules – the parts that make it go, the parts that make it stop, the parts that let you steer, etc. If you understand those modules, you understand how the car works. But if you just have a list of parts, that’s not very helpful.

“And what we have right now for many biochemical pathways is essentially just a list of parts – metabolites, biochemical reactions and enzymes that facilitate those reactions – and, in some cases, how those parts change over time. What we need is a clear understanding of which parts work together. That’s where our new algorithm comes in.”

The researchers developed an algorithm that allows them to identify which parts – the metabolites, reactions and enzymes – are related to each other and can be grouped into functional modules. The algorithm also identifies whether an individual component plays a role in multiple modules. For example, an enzyme may play a primary role in critical stress response pathways and a secondary role in processes associated with programmed cell maintenance or death.

The algorithm also characterizes how the relationships between different modules and individual components may change over time and under different internal and external conditions.

The input for the algorithm comes from using well-established dynamic models to observe changes in concentrations of metabolites, reactions and enzymes under various conditions. The algorithm then processes that data to establish primary and secondary relationships between all of the constituent parts.

“When modifying biological processes, there are thousands of possible combinations of metabolites, reactions and enzymes for any given biochemical pathway,” Williams says. “Our work should help life scientists narrow down the list of key players in order to target their research efforts on functional groups that are most likely to improve our ability to understand and control important biological processes. This has applications in everything from biomedical research to agriculture to biofuels.”

The paper, “Hierarchical Modularization Of Biochemical Pathways Using Fuzzy-C Means Clustering,” is forthcoming from IEEE Transactions on Cybernetics. Lead author of the paper is Dr. Maria de Luis Balaguer, a former Ph.D. student at NC State.

-shipman-

Note to Editors: The study abstract follows.

“Hierarchical Modularization Of Biochemical Pathways Using Fuzzy-C Means Clustering”

Authors: Maria A. de Luis Balaguer and Cranos M. Williams, North Carolina State University

Published: forthcoming, IEEE Transactions on Cybernetics

DOI: 10.1109/TCYB.2013.2286679

Abstract: Biological systems that are representative of regulatory, metabolic, or signaling pathways can be highly complex. Mathematical models that describe such systems inherit this complexity. As a result, these models can often fail to provide a path toward the intuitive comprehension of these systems. More coarse information that allows a perceptive insight of the system is sometimes needed in combination with the model to understand control hierarchies or lower level functional relationships. In this paper, we present a method to identify relationships between components of dynamic models of biochemical pathways that reside in different functional groups. We find primary relationships and secondary relationships. The secondary relationships reveal connections that are present in the system, which current techniques that only identify primary relationships are unable to show. We also identify how relationships between components dynamically change over time. This results in a method that provides the hierarchy of the relationships among components, which can help us to understand the low level functional structure of the system and to elucidate potential hierarchical control. As a proof of concept, we apply the algorithm to the epidermal growth factor signal transduction pathway, and to the C3 photosynthesis pathway. We identify primary relationships among components that are in agreement with previous computational decomposition studies, and identify secondary relationships that uncover connections among components that current computational approaches were unable to reveal.

Matt Shipman | EurekAlert!

More articles from Life Sciences:

nachricht New photocatalyst speeds up the conversion of carbon dioxide into chemical resources
29.05.2017 | DGIST (Daegu Gyeongbuk Institute of Science and Technology)

nachricht Copper hydroxide nanoparticles provide protection against toxic oxygen radicals in cigarette smoke
29.05.2017 | Johannes Gutenberg-Universität Mainz

All articles from Life Sciences >>>

The most recent press releases about innovation >>>

Die letzten 5 Focus-News des innovations-reports im Überblick:

Im Focus: Strathclyde-led research develops world's highest gain high-power laser amplifier

The world's highest gain high power laser amplifier - by many orders of magnitude - has been developed in research led at the University of Strathclyde.

The researchers demonstrated the feasibility of using plasma to amplify short laser pulses of picojoule-level energy up to 100 millijoules, which is a 'gain'...

Im Focus: Can the immune system be boosted against Staphylococcus aureus by delivery of messenger RNA?

Staphylococcus aureus is a feared pathogen (MRSA, multi-resistant S. aureus) due to frequent resistances against many antibiotics, especially in hospital infections. Researchers at the Paul-Ehrlich-Institut have identified immunological processes that prevent a successful immune response directed against the pathogenic agent. The delivery of bacterial proteins with RNA adjuvant or messenger RNA (mRNA) into immune cells allows the re-direction of the immune response towards an active defense against S. aureus. This could be of significant importance for the development of an effective vaccine. PLOS Pathogens has published these research results online on 25 May 2017.

Staphylococcus aureus (S. aureus) is a bacterium that colonizes by far more than half of the skin and the mucosa of adults, usually without causing infections....

Im Focus: A quantum walk of photons

Physicists from the University of Würzburg are capable of generating identical looking single light particles at the push of a button. Two new studies now demonstrate the potential this method holds.

The quantum computer has fuelled the imagination of scientists for decades: It is based on fundamentally different phenomena than a conventional computer....

Im Focus: Turmoil in sluggish electrons’ existence

An international team of physicists has monitored the scattering behaviour of electrons in a non-conducting material in real-time. Their insights could be beneficial for radiotherapy.

We can refer to electrons in non-conducting materials as ‘sluggish’. Typically, they remain fixed in a location, deep inside an atomic composite. It is hence...

Im Focus: Wafer-thin Magnetic Materials Developed for Future Quantum Technologies

Two-dimensional magnetic structures are regarded as a promising material for new types of data storage, since the magnetic properties of individual molecular building blocks can be investigated and modified. For the first time, researchers have now produced a wafer-thin ferrimagnet, in which molecules with different magnetic centers arrange themselves on a gold surface to form a checkerboard pattern. Scientists at the Swiss Nanoscience Institute at the University of Basel and the Paul Scherrer Institute published their findings in the journal Nature Communications.

Ferrimagnets are composed of two centers which are magnetized at different strengths and point in opposing directions. Two-dimensional, quasi-flat ferrimagnets...

All Focus news of the innovation-report >>>

Anzeige

Anzeige

Event News

Marine Conservation: IASS Contributes to UN Ocean Conference in New York on 5-9 June

24.05.2017 | Event News

AWK Aachen Machine Tool Colloquium 2017: Internet of Production for Agile Enterprises

23.05.2017 | Event News

Dortmund MST Conference presents Individualized Healthcare Solutions with micro and nanotechnology

22.05.2017 | Event News

 
Latest News

New insights into the ancestors of all complex life

29.05.2017 | Earth Sciences

New photocatalyst speeds up the conversion of carbon dioxide into chemical resources

29.05.2017 | Life Sciences

NASA's SDO sees partial eclipse in space

29.05.2017 | Physics and Astronomy

VideoLinks
B2B-VideoLinks
More VideoLinks >>>