Background: DNA N6-methyladenine plays an important role in the restriction-modification
system to isolate invasion from adventive DNA. The shortcomings of the high time …

Deep learning has been increasingly used in bioinformatics, especially in sequence-based
protein prediction tasks, as large amounts of biological data are available and deep learning …

Exploring drug–target interactions by biomedical experiments requires a lot of human,
financial, and material resources. To save time and cost to meet the needs of the present …

Circular RNAs (circRNAs) are non-coding RNAs with a special circular structure produced
formed by the reverse splicing mechanism. Increasing evidence shows that circular RNAs …

With the development of computer technology, many machine learning algorithms have
been applied to the field of biology, forming the discipline of bioinformatics. Protein function …

Background Cancer is one of the most serious diseases threatening human health. Cancer
immunotherapy represents the most promising treatment strategy due to its high efficacy and …

Thermophilic proteins have important application value in biotechnology and industrial
processes. The correct identification of thermophilic proteins provides important information …

As one of the most important tasks in protein structure prediction, protein fold recognition has
attracted more and more attention. In this regard, some computational predictors have been …

The identification of the protein fold class is a challenging problem in structural biology.
Recent computational methods for fold prediction leverage deep learning techniques to …

The exploration of DNA-binding proteins (DBPs) is an important aspect of studying
biological life activities. Research on life activities requires the support of scientific research …