Sequence-based protein homology detection has emerged as one of the most sensitive and
accurate approaches to protein structure prediction. Despite the success, homology …

Effective embedding is actively conducted by applying deep learning to biomolecular
information. Obtaining better embeddings enhances the quality of downstream analyses …

Non-coding RNAs (ncRNAs) play crucial roles in multiple biological processes. However,
only a few ncRNAs' functions have been well studied. Given the significance of ncRNAs …

Threading a query protein sequence onto a library of weakly homologous structural
templates remains challenging, even when sequence‐based predicted contact or distance …

Background RNA secondary structural alignment serves as a foundational procedure in
identifying conserved structural motifs among RNA sequences, crucially advancing our …

Classical approaches have been used for solving biological systems since the Newton time.
Most of the earlier effort has reduced a system to the simplest levels for the study. Such an …

Threading a query protein sequence onto a library of weakly homologous structural
templates remains challenging. In light of the recent advancements in residue-residue …

TOPAS (TOP ological network-based A lignment of S tructural RNAs) is a network-based
alignment algorithm that predicts structurally sound pairwise alignment of RNAs. In order to …

Background: With increasing applications and development of high-throughput sequencing,
knowledge of the primary structure of RNA has expanded exponentially. Moreover, the …

Non-coding RNAs (ncRNAs) that are not translated into proteins were formerly considered
as junk regions. However, various functions have been revealed in recent years ranging …