The data explosion driven by advancements in genomic research, such as high-throughput
sequencing techniques, is constantly challenging conventional methods used in genomics …

This paper aims to provide a comprehensive review of the trends and challenges of deep
neural networks for protein secondary structure prediction (PSSP). In recent years, deep …

Bioinformatics is the process of analysing gene structures living organisms. The complete
characteristics of living organisms whether it is bad or good is completely controlled by the …

Recently developed deep learning techniques have significantly improved the accuracy of
various speech and image recognition systems. In this paper we show how to adapt some of …

Spontaneous preterm birth (sPTB) remains a major clinical dilemma; current diagnostics and
interventions have not reduced the rate of this serious healthcare burden. This study …

Proteomic techniques have become popular in medicine and dentistry because of their
widespread use in analyzing bodily fluids such as blood, saliva, urine, and gingival …

Proteins play a vital role in human development, growth, and overall health. Traditionally,
animal-derived proteins were considered the primary source of dietary protein. However, in …

Previous experimental studies on thermostable lipase from Shewanella putrefaciens
suggested the maximum activity at higher temperatures, but with little information on its …

Abstract SLC20A1/PiT1 is a sodium-dependent inorganic phosphate transporter, initially
recognized as the retroviral receptor for Gibbon Ape Leukemia Virus in humans. SNPs in …

In-vitro methods for protein structure determination are time-consuming, cost-intensive, and
failure-prone. Because of these expenses, alternative computer-based predictive methods …