'Computer simulations can predict HIV spread'

Computer simulations can accurately predict the transmission of HIV across populations, which could aid in preventing the deadly infection, scientists have found.

The simulations were consistent with actual DNA data obtained from a global public HIV database, according to the study published in the journal Nature Microbiology.

"We looked for special genetic patterns that we had seen in the simulations, and we can confirm that these patterns also hold for real data covering the entire epidemic," said Thomas Leitner, a computational biologist at Los Alamos National Laboratory in the US.

HIV is particularly interesting to study in this manner as the virus mutates rapidly and constantly within each infected individual, Leitner said.

The changing "genetic signatures" of its code provide a path that researchers can follow in determining the origin and time frame of an infection.

The computer simulations are now proven to be successful in tracking and predicting the virus's movements through populations, researchers said.

The rapid mutational capability of the virus