Discovery and development of biopeptides are time‐consuming, laborious, and dependent
on various factors. Data‐driven computational methods, especially machine learning (ML) …

Circular ribonucleic acids (circRNAs) are widely expressed in cells and tissues and play vital
roles in cellular physiological processes. Their expressions are associated with …

Here, we present DeepBIO, the first-of-its-kind automated and interpretable deep-learning
platform for high-throughput biological sequence functional analysis. DeepBIO is a one-stop …

In order to uncover the meanings of 'book of life', 155 different biological language models
(BLMs) for DNA, RNA and protein sequence analysis are discussed in this study, which are …

As the first web server to analyze various biological sequences at sequence level based on
machine learning approaches, many powerful predictors in the field of computational …

Sequence-based analysis and prediction are fundamental bioinformatic tasks that facilitate
understanding of the sequence (-structure)-function paradigm for DNAs, RNAs and proteins …

Protein-protein interactions (PPIs) are involved with most cellular activities at the proteomic
level, making the study of PPIs necessary to comprehending any biological process …

Abstract Background RNA 5-methyluridine (m5U) modifications are obtained by methylation
at the C5 position of uridine catalyzed by pyrimidine methylation transferase, which is …

A promoter is a sequence of DNA that initializes the process of transcription and regulates
whenever and wherever genes are expressed in the organism. Because of its importance in …

RNAs play essential roles in diverse physiological and pathological processes by interacting
with other molecules (RNA/protein/compound), and various computational methods are …