[HTML][HTML] Ensemble deep learning model for protein secondary structure prediction using NLP metrics and explainable AI
U Vignesh, R Parvathi, KG Ram - Results in Engineering, 2024 - Elsevier
Proteins are a major part of all living organisms, consisting of chains made from amino
acids, and they perform various biological processes such as DNA replication, metabolism …
acids, and they perform various biological processes such as DNA replication, metabolism …
mCNN-glucose: Identifying families of glucose transporters using a deep convolutional neural network based on multiple-scanning windows
Glucose transporters are essential carrier proteins that function on the phospholipid bilayer
to facilitate glucose diffusion across cell membranes. The transporters play many …
to facilitate glucose diffusion across cell membranes. The transporters play many …
VesiMCNN: Using pre-trained protein language models and multiple window scanning convolutional neural networks to identify vesicular transport proteins
Vesicular transport is a critical cellular process responsible for the proper organization and
functioning of eukaryotic cells. This mechanism relies on specialized vesicles that shuttle …
functioning of eukaryotic cells. This mechanism relies on specialized vesicles that shuttle …