The prediction of protein secondary structure is a classical problem in bioinformatics, and in the past few years several machine learning techniques have been proposed to t. From...
Given a known protein sequence, predicting its secondary structure can help understand its three-dimensional (tertiary) structure, i.e., the folding. In this paper, we present an ...
In this paper, we study k-noncrossing, -canonical RNA pseudoknot structures with minimum arc-length greater or equal to four. Let T OE4 k; .n/ denote the number of these structure...
RNA plays a critical role in mediating every step of cellular information transfer from genes to functional proteins. Pseudoknots are widely occurring structural motifs found in a...
Xuezheng Fu, Hao Wang, William L. Harrison, Robert...
The discovery of novel non-coding RNAs has been among the most exciting recent developments in Biology. Yet, many more remain undiscovered. It has been hypothesized that there is ...