title: Computational approaches to RNA structure prediction, analysis, and design.
abstract: RNA molecules are important cellular components involved in many fundamental biological processes. Understanding the mechanisms behind their functions requires RNA tertiary structure knowledge. Although modeling approaches for the study of RNA structures and dynamics lag behind efforts in protein folding, much progress has been achieved in the past two years. Here, we review recent advances in RNA folding algorithms, RNA tertiary motif discovery, applications of graph theory approaches to RNA structure and function, and in silico generation of RNA sequence pools for aptamer design. Advances within each area can be combined to impact many problems in RNA structure and function.
authors.affiliation: Department of Chemistry, Courant Institute of Mathematical Sciences, New York University, 251 Mercer Street, New York, NY 10012, USA.
authors.forename: Christian
authors.initials: C
authors.lastname: Laing
authors.forename: Tamar
authors.initials: T
authors.lastname: Schlick
mesh_terms: D000818:Animals; D019295:Computational Biology; D030541:Databases, Genetic; D006801:Humans; D056004:Molecular Dynamics Simulation; D009690:Nucleic Acid Conformation; D012313:RNA / Q000737:chemistry* / Q000235:genetics*; D012984:Software
chemical_list: D012313:RNA