Featured Research

from universities, journals, and other organizations

Unraveling biological networks: Biological network motif discovery algorithms

Date:
March 5, 2012
Source:
Inderscience Publishers
Summary:
A new approach to disentangling the complexities of biological networks, such as the way in which proteins interact in our body's cells has been developed. The new algorithm could allow biologists and biomedical researchers to unravel new clues about how cells work and what goes awry with such networks in various diseases, such as Alzheimer's disease and cancer.

A new approach to disentangling the complexities of biological networks, such as the way in which proteins interact in our body's cells has been developed by researchers in China. The team's algorithm could allow biologists and biomedical researchers to unravel new clues about how cells work and what goes awry with such networks in various diseases, such as Alzheimer's disease and cancer.

Related Articles


We find networks everywhere in technology, in nature, in our bodies. They are ubiquitous in countless fields of research from electronic circuitry to social networks from transportation systems to biological systems. Researchers have demonstrated that although networks may superficially be very disparate in nature they nevertheless share many global properties, such as "small world" and "scale free" characteristics. This means that understanding one kind of network can help us understand another.

However, to dig deeper still into the universal characteristics of networks requires us to understand the basic structural elements present in a particular -- the so-called network "motifs." Motifs are patterns of interconnections between the nodes in a network, whether transistors, neurons Facebook users, or in molecular biology, proteins. Motifs that occur in significantly larger numbers in real networks than in randomised networks can be used to characterise local features of even the most complex networks. With high-throughput analytical techniques, molecular biologists are beginning to uncover network motifs in protein systems, and likewise in metabolism, the brain, the spread of pathogens and many other areas of interest.

Computer scientists Guimin Qin and Lin Gao of Xidian University in Shaanxi, China, have devised an efficient algorithm for detecting motifs in protein networks. The algorithm first searches for specific non-tree-like sub-structures in a network that are not so commonly found in random networks. It then classifies these sub-structures and clusters them hierarchically to reveal the presence of recurring motifs in the network. The team has applied the algorithm to a network of protein-protein interaction (PPI) for the well-studied bacterium Escherichia coli and the yeast Saccharomyces cerevisiae.

"Our experimental results show that the algorithm can efficiently discover motifs, which are consistent with current biology knowledge," the team says. Importantly, however, the approach has also revealed several novel motifs previously unrecognised. "Our algorithm can detect several consensus motifs with a given size, which may help biologists go further into cellular process," the team adds.


Story Source:

The above story is based on materials provided by Inderscience Publishers. Note: Materials may be edited for content and length.


Journal Reference:

  1. Guimin Qin, Lin Gao. An algorithm for network motif discovery in biological networks. International Journal of Data Mining and Bioinformatics, 2012; 6 (1): 1 DOI: 10.1504/IJDMB.2012.045533

Cite This Page:

Inderscience Publishers. "Unraveling biological networks: Biological network motif discovery algorithms." ScienceDaily. ScienceDaily, 5 March 2012. <www.sciencedaily.com/releases/2012/03/120305132538.htm>.
Inderscience Publishers. (2012, March 5). Unraveling biological networks: Biological network motif discovery algorithms. ScienceDaily. Retrieved January 28, 2015 from www.sciencedaily.com/releases/2012/03/120305132538.htm
Inderscience Publishers. "Unraveling biological networks: Biological network motif discovery algorithms." ScienceDaily. www.sciencedaily.com/releases/2012/03/120305132538.htm (accessed January 28, 2015).

Share This


More From ScienceDaily



More Plants & Animals News

Wednesday, January 28, 2015

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

Dogs Bring on So Many Different Emotions in Their Human Best Friends

Dogs Bring on So Many Different Emotions in Their Human Best Friends

RightThisMinute (Jan. 28, 2015) From new-puppy happy tears to helpful-grocery-carrying-dog laughter, our four-legged best friends can make us feel the entire spectrum of emotions. Video provided by RightThisMinute
Powered by NewsLook.com
Scientists Say Earliest Snakes Lived Alongside The Dinosaurs

Scientists Say Earliest Snakes Lived Alongside The Dinosaurs

Newsy (Jan. 28, 2015) Wrongly categorized as lizard fossils, snake fossils now show the reptile could have developed earlier than we thought — 70 million years earlier. Video provided by Newsy
Powered by NewsLook.com
Poultry Culled in Taiwan to Thwart Bird Flu

Poultry Culled in Taiwan to Thwart Bird Flu

Reuters - News Video Online (Jan. 28, 2015) Taiwan culls over a million poultry in efforts to halt various strains of avian flu. Julie Noce reports. Video provided by Reuters
Powered by NewsLook.com
Aquaponics Turn Suburban Industrial Park Into Farmland: Hume

Aquaponics Turn Suburban Industrial Park Into Farmland: Hume

The Toronto Star (Jan. 27, 2015) Ancient techniques of growing greens with fish and water are well ahead of Toronto bylaws. Video provided by The Toronto Star
Powered by NewsLook.com

Search ScienceDaily

Number of stories in archives: 140,361

Find with keyword(s):
Enter a keyword or phrase to search ScienceDaily for related topics and research stories.

Save/Print:
Share:

Breaking News:

Strange & Offbeat Stories


Plants & Animals

Earth & Climate

Fossils & Ruins

In Other News

... from NewsDaily.com

Science News

Health News

Environment News

Technology News



Save/Print:
Share:

Free Subscriptions


Get the latest science news with ScienceDaily's free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

Get Social & Mobile


Keep up to date with the latest news from ScienceDaily via social networks and mobile apps:

Have Feedback?


Tell us what you think of ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?
Mobile: iPhone Android Web
Follow: Facebook Twitter Google+
Subscribe: RSS Feeds Email Newsletters
Latest Headlines Health & Medicine Mind & Brain Space & Time Matter & Energy Computers & Math Plants & Animals Earth & Climate Fossils & Ruins