Researchers create accurate computer model of RNA tetraloop

A computational model developed by researchers at Rensselaer Polytechnic Institute is the first to accurately simulate the complex twists of a short sequence of RNA as it folds into a critical hairpin structure known as a "tetraloop." The research, published today in Proceedings of the National Academy of Sciences, is a glimpse into RNA, found in all life on Earth, and could advance a variety of research areas, including the search for new antibiotics and cures for protein-related diseases.

Researchers create accurate computer model of RNA tetraloop
Computer model of RNA tetraloop [Credit: Rensselaer Polytechnic Institute]
Existing computational models, based on DNA rather than RNA, do not achieve the atomic level accuracy of the new model, said Angel Garcia, head of the Department of Physics, Applied Physics, and Astronomy within the School of Science at Rensselaer, and senior constellation chaired professor in the Biocomputation and Bioinformatics Constellation, who co-wrote the paper with Alan Chen, a post-doctoral fellow at Rensselaer. The new model Garcia and Chen created can simulate the folding of three known versions of a tetraloop, accurate to within one ten-billionth of a meter.

RNA is involved in many biological functions, such as building proteins, coding and decoding genes, and cellular regulation. RNA molecules are composed of strings of four different "bases" —cytosine, guanine, adenine, and uracil—mounted on a sugar-phosphate backbone. Once the sequence is assembled, the individual bases interact with their neighbors, twisting and swinging on the hinged chemical bonds that connect them to the backbone. When the process is complete, the RNA has folded into its "tertiary" structure, which influences its function. Although researchers can easily alter the sequence of molecules, without accurate computer modeling there they cannot easily see the tertiary structure of their creation.

"Right now, it takes people from molecular biologists, to virologists, to cell biologists, thousands of dollars and years of study to see the structure of an RNA they have made, altered, or are studying," said Chen. "There are a lot of researchers working on the RNA in viruses and how it attacks the cell, and, while they're easily able to alter the sequence, they're essentially working without ever seeing the effects of their changes in molecular detail. Because of this, there's a lot of trial and error, and our work aimed at helping that."