Artificial Intelligence with Great Potential in Medical Informatics: A Brief Review

H Lin - Medinformatics, 2024 - ojs.bonviewpress.com
In the 1950s and 1960s, in molecular biology, information technology was mainly applied to
the molecular evolution of proteins and DNA, and later expanded to multiple fields such as …

A protein pre-trained model-based approach for the identification of the liquid-liquid phase separation (LLPS) proteins

Z Ahmed, K Shahzadi, SA Temesgen, B Ahmad… - International Journal of …, 2024 - Elsevier
Liquid-liquid phase separation (LLPS) regulates many biological processes including RNA
metabolism, chromatin rearrangement, and signal transduction. Aberrant LLPS potentially …

Protein feature engineering framework for AMPylation site prediction

H Prabhu, H Bhosale, A Sane, R Dhadwal… - Scientific Reports, 2024 - nature.com
AMPylation is a biologically significant yet understudied post-translational modification
where an adenosine monophosphate (AMP) group is added to Tyrosine and Threonine …

Identification of RNA‐dependent liquid‐liquid phase separation proteins using an artificial intelligence strategy

Z Ahmed, K Shahzadi, Y Jin, R Li, BM Momanyi… - …, 2024 - Wiley Online Library
RNA‐dependent liquid‐liquid phase separation (LLPS) proteins play critical roles in cellular
processes such as stress granule formation, DNA repair, RNA metabolism, germ cell …

Synergistic Combination of Machine Learning and Evolutionary and Heuristic Algorithms for Handling Imbalance in Biological and Biomedical Datasets

S Modak, M Pandya, P Siarry, J Valadi - Advanced Machine Learning with …, 2024 - Springer
Due to the advent of Next Generation Sequencing and multiple innovative experimental
techniques there is an exponential increase in biological data. It is necessary to capture …