To find signature features shared by various ncRNA sub-types and characterize novel ncRNAs, we have developed a method, RNAfeature, to investigate >600 sets of genomic and epigenomic data with various evolutionary and biophysical scores. RNAfeature utilizes a fine-tuned intra-species wrapper algorithm that is followed by a novel feature selection strategy across species. It considers long distance effect of certain features (e.g. histone modification at the promoter region). We finally narrow down on 10 informative features (including sequences, structures, expression profiles and epigenetic signals). These features are complementary to each other and as a whole can accurately distinguish canonical ncRNAs from CDSs and UTRs (accuracies: >92% in human, mouse, worm and fly). Moreover, the feature pattern is conserved across multiple species. For instance, the supervised 10-feature model derived from animal species can predict ncRNAs in Arabidopsis (accuracy: 82%). Subsequently, we integrate the 10 features to define a set of noncoding potential scores, which can identify, evaluate and characterize novel noncoding RNAs. The score covers all transcribed regions (including unconserved ncRNAs), without requiring assembly of the full-length transcripts. Importantly, the noncoding potential allows us to identify and characterize potential functional domains with feature patterns similar to canonical ncRNAs (e.g. tRNA, snRNA, miRNA, etc) on ∼70% of human long ncRNAs (lncRNAs).

Beside its genomic properties, DNA is also recognized as a novel material in the field of nanoengineering. The specific bonding of base pairs can be used to direct the assembly of highly structured materials with specific nanoscale features such as periodic 2D arrays, 3D nanostructures, assembly of nanomaterials, and DNA nanomachines. In recent years, a variety of DNA nanomachines are developed because of their many potential applications in biosensing, diagnostics, and therapeutic applications. In this review, the fuel-powered motors and secondary structure motors, whose working mechanisms are inspired or derived from natural phenomena and nanomachines, are discussed. The combination of DNA motors with other platforms is then discussed. In each section of these motors, their mechanisms and their usage in the biomedical field are described. Finally, it is believed that these DNA-based nanomachines and hybrid motifs will become an integral point-of-care diagnostics and smart, site-specific therapeutic delivery.

We introduce a simplified and modular architecture for design and construction of complex origami nanostructures. A series of basic two-dimensional and three-dimensional structures are presented. As the resulting structures can be virtually divided into blocks, modular remodeling such as translocation, contraction/extension, and bending is carried out. Structures under such a designing framework are morphable. Local conformational changes can propagate to the entire structure to reshape the global conformation.