Google Algorithm Sorts Chemical Links For Scientists
Google's search method turns out to be useful for more than just finding relevant Web pages. It works just as well on chemical links, which can help scientists design new medicines for treating disease.Scientists at Washington State University and the University of Arizona have found that Google's PageRank algorithm works as well on chemical links as it does on Web page links.
While Google relies on PageRank to help it evaluate which Web pages are relevant for a given search query, Aurora Clark, an associate professor of chemistry at WSU, has been using the algorithm to predict chemical reactions.
More Insights
Webcasts
- Why Bad Guys Write Malware– And What You Can Do About It
- Thriving in a Multi-Platform World: Integrating Mobile Device Management into Your Overall Security Strategy
White Papers
- Open Source Governance in Highly Regulated Companies
- Extending the value of legacy applications through application transformation
Reports
More >>PageRank measures the relative importance of a set of Web pages connected by hyperlinks. Web pages with large numbers of incoming links are deemed by the algorithm to be more important than those with fewer incoming links. In effect, the act of creating a link to a website becomes a vote for the importance of that site.
"The way in which Google tallies votes of confidence for Web pages is based on their connectivity," said Clark in a phone interview. "The connectivity [as measured by the number of links to the Web page] dictates the probability that the Web surfer will stay at, or leave, the Web page. We're doing the same thing."
[ Google's DNS business is providing the company with even more insight into what people do online. Read Google Becomes Largest Public DNS Provider. ]
Clark says that the number of hydrogen bonds in a water molecule makes it more likely to be relevant for chemical reactions.
"What the PageRank algorithm provides is a way to characterize the organization of a system all at once," she said.
The research, funded by the U.S. Department of Energy, is described in a paper published online in The Journal of Computational Chemistry, "moleculaRnetworks: An Integrated Graph Theoretic and Data Mining Tool to Explore Solvent Organization in Molecular Simulation," co-authored by Clark, Barbara Logan Mooney, and L. Rene Corrales.
moleculaRnetworks refers to a set of scripts written in the R computer language for identifying, visualizing, and understanding molecular reactions. PageRank is one of the algorithms used in the scripts.
Understanding how molecules are organized can help with the design of medicines and with the treatment of diseases. "There's a large branch of chemistry about how molecules freeze, melt, and transform, all based on molecular organization," Clark said.
Clark's work focuses on toxic and heavy metals, such as uranium and plutonium, and how they behave in water. Having a computational tool to explore the reactivity of these elements in water expands research options without the challenge of dealing with these dangerous substances directly.
Google, understandably, is pleased that its founders' seminal work has cross-disciplinary applications. "Our goal in search is to help people expand their knowledge of the world, and we're delighted to see that our PageRank algorithm is being used to do just that with this innovative and efficient molecular research method," said Amit Singhal, Google Fellow and senior vice president, in an emailed statement.
The right forensic tools in the right hands are just a start. The new Digital Detectives issue of Dark Reading shows you how to better apply the lessons they teach. (Free registration required.)
Related Reading
| To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy. |
Subscribe to RSSResource Links
Related Webcasts
- The Dell Difference: Lessons from Dell’s Own IT Transformation
- Why Bad Guys Write Malware– And What You Can Do About It
- Building a Hyperscale Architecture: How Lessons from eBay, Bing and Web Tech Leaders are Transforming Data Centers at Companies Big and Small
- How to Build a Next-Generation Big Data Architecture
- Collaborative DevOps: Bridging the gap between development and operations with automation
This Week's Issue
Free Print Subscription
SubscribeCurrent Healthcare Issue
- InformationWeek Healthcare CIO 25: Our second annual honor roll of the health IT leaders driving healthcare's transformation.
- EHR Unreadiness: Only a small percentage of physicians planning to apply for Meaningful Use funds have e-health record systems capable of achieving most of the requirements. .
- And much more!
- Read the Current Issue
Related Whitepapers
- Open Source Governance in Highly Regulated Companies
- Webinar with Forrester: Mobility and the Open Web: Open Standards and Collaboration Redefine Enterprise IT
- Workload Automation: The Key to Managing Windows Server Sprawl
- Workload Automation: The Heart of Enterprise Operations
- Serving the Gen-Y Customer: 7 Key Technology Challenges for Banks
Featured Whitepaper
This paper from AccuRev explores the top 5 process development challenges that software development teams face today and focuses on a series of best practices and techniques for development teams looking to improve their software development process.
Learn More













