Save
Email
Print
ShareSep. 12, 2012 — DNA consists of regions called exons, which code for the synthesis of proteins, interspersed with noncoding regions called introns. Being able to predict the different regions in a new and unannotated genome is one of the biggest challenges facing biologists today.
Now researchers at the Indian Institute of Technology in Delhi have used techniques from information theory to identify DNA introns and exons an order of magnitude faster than previously developed methods. The researchers were able to achieve this breakthrough in speed by looking at how electrical charges are distributed in the DNA nucleotide bases. This distribution, known as the dipole moment, affects the stability, solubility, melting point, and other physio-chemical properties of DNA that have been used in the past to distinguish exons and introns.
The research team computed the "superinformation," or a measure of the randomness of the randomness, for the angles of the dipole moments in a sequence of nucleotides. For both double- and single-strand forms of DNA, the superinformation of the introns was significantly higher than for the exons.
Scientists can use information about the coding and noncoding regions of DNA to better understand the human genome, potentially helping to predict how cancer and other diseases linked to DNA develop.
Other social bookmarking and sharing tools:
Story Source:
The above story is reprinted from materials provided by American Institute of Physics (AIP), via Newswise.
Note: Materials may be edited for content and length. For further information, please contact the source cited above.
Journal Reference:
- Nithya Ramakrishnan, R. Bose. Dipole entropy based techniques for segmentation of introns and exons in DNA. Applied Physics Letters, 2012; 101 (8): 083701 DOI: 10.1063/1.4747205
Note: If no author is given, the source is cited instead.
more 
