Proteomics is a field dedicated to the analysis of proteins in cells, tissues, and organisms,
aiming to gain insights into their structures, functions, and interactions. A crucial aspect …

A novel failure rate prediction model is developed by the extreme learning machine (ELM) to
provide key information needed for optimum ongoing maintenance/rehabilitation of a water …

Abstract Background Protein-protein interactions (PPIs) are central to a lot of biological
processes. Many algorithms and methods have been developed to predict PPIs and protein …

Proteins mainly perform their functions by interacting with other proteins. Protein–protein
interactions underpin various biological activities such as metabolic cycles, signal …

The extreme learning machine (ELM), which was originally proposed for “generalized”
single-hidden layer feedforward neural networks, provides efficient unified learning …

Pseudouridine is the most prevalent RNA modification and has been found in both
eukaryotes and prokaryotes. Currently, pseudouridine has been demonstrated in several …

Protein sequence classification plays a pivotal role in bioinformatics as it enables the
comprehension of protein functions and their involvement in diverse biological processes …

The molecular structure of macromolecules in living cells is ambiguous unless we classify
them in a scientific manner. Signal peptides are of vital importance in determining the …

Along with the rapid development of intelligent mobile terminals, applications on landmark
recognition attract increasingly attentions by world wide researchers in the past several …

Accurate prediction of pier scour can lead to economic design of bridge piers and prevent
catastrophic incidents. This paper presents the application of self-adaptive evolutionary …