Researchers at Los Alamos National Laboratory have set a new world’s record by performing the first million-atom computer simulation in biology. Using the “Q Machine” supercomputer, Los Alamos computer scientists have created a molecular simulation of the cell’s protein-making structure, the ribosome. The project, simulating 2.64 million atoms in motion, is more than six times larger than any biological simulations performed to date.

A newly identified gene expression profile could help predict how patients with advanced ovarian cancer will respond to chemotherapy treatment. Described in a study in the November 1, 2005 issue of The Journal of Clinical Oncology (JCO), the new findings further establish an important role for microarray gene profiling as a predictor of clinical outcome in ovarian cancer, and could eventually provide clinicians with insights into the mechanisms of drug resistance.

A new technique for analyzing the network of genetic interactions promises to change how researchers study the dynamic biological landscape of the cell. The technology, which is called epistatic mini array profiles (E-MAP), has already been used to assign new functions to known genes, to uncover the roles of previously uncharacterized proteins, and to define how biochemical pathways and proteins interact with one another.

One of the body's primary strategies for regulating its genome is a kind of targeted gene silencing orchestrated by small molecules called microRNAs, or miRNAs. First observed only a few years ago, these molecules appear to inactivate messenger RNA, itself responsible for translating genes into proteins. Scientists have been eager to know more about miRNAs, clearly important players on the genetic field despite having gone unnoticed for so long. How are they produced? And how do they work?