[HTML][HTML] Protein–protein interaction prediction with deep learning: A comprehensive review
Most proteins perform their biological function by interacting with themselves or other
molecules. Thus, one may obtain biological insights into protein functions, disease …
molecules. Thus, one may obtain biological insights into protein functions, disease …
[HTML][HTML] RanKer: An AI-Based Employee-Performance Classification Scheme to Rank and Identify Low Performers
An organization's success depends on its employees, and an employee's performance
decides whether the organization is successful. Employee performance enhances the …
decides whether the organization is successful. Employee performance enhances the …
[HTML][HTML] A Review for Artificial Intelligence Based Protein Subcellular Localization
Proteins need to be located in appropriate spatiotemporal contexts to carry out their diverse
biological functions. Mislocalized proteins may lead to a broad range of diseases, such as …
biological functions. Mislocalized proteins may lead to a broad range of diseases, such as …
Thorough Assessment of Machine Learning Techniques for Predicting Protein-Nucleic Acid Binding Hot Spots
X Zou, C Zhang, M Tang, L Deng - Current Bioinformatics, 2024 - ingentaconnect.com
Background: Proteins and nucleic acids are vital biomolecules that contribute significantly to
biological life. The precise and efficient identification of hot spots at protein-nucleic acid …
biological life. The precise and efficient identification of hot spots at protein-nucleic acid …
Deep ensemble model for sequence-based prediction of PPI: Self improved optimization assisted intelligent model
PPIs play a significant function in many biological processes. In many different areas, DL
algorithms have delivered excellent results, but PPI prediction is one where they fall short …
algorithms have delivered excellent results, but PPI prediction is one where they fall short …