Global ETD Search

Evaluating convolutional neural networks and transformer architectures for image-based prediction of protein localization in eukaryotic cells

Msipa, Sibongiseni LetticiaDepartment of Integrative Biomedical Sciences (IBMS)2025

Background: Accurate prediction of protein subcellular localization is critical for understanding protein function and guiding experimental research. Recent advances in deep learning have enabled high-throughput image-based methods to tackle this problem by leveraging large-scale immunofluorescence …

cape-town Repository record for Evaluating convolutional neural networks and transformer architectures for image-based prediction of protein localization in eukaryotic cells (opens in a new tab)

AN HMA DOMAIN-CONTAINING PROTEIN NaKR1 REGULATES LONG-DISTANCE FLORIGEN MOVEMENT IN ARABIDOPSIS THALIANA

ZHU YANG2015

… BEEN IDENTIFIED AS THE FLOWERING LOCUS T (FT) PROTEIN, WHICH IS INDUCED BY THE NUCLEAR PROTEIN CONSTANS (CO) IN RESPONSE TO LONG-DAY (LD) CONDITIONS. HERE WE REPORT THAT A HEAVY-METAL-ASSOCIATED (HMA) DOMAIN-CONTAINING PROTEIN, SODIUM POTASSIUM ROOT DEFECTIVE1 (NAKR1), IS ALSO INDUCED BY CO …

nus Repository record for AN HMA DOMAIN-CONTAINING PROTEIN NaKR1 REGULATES LONG-DISTANCE FLORIGEN MOVEMENT IN ARABIDOPSIS THALIANA (opens in a new tab)

Understanding The Role of Sumoylation In Regulating Lkb1 Function

Ritho, Joan W2016

… kinase of the energy sensor AMP-activated protein kinase (AMPK), directly associating it with the regulation of energy balance in cells. During energy stress, LKB1 phosphorylates AMPK at threonine 172 (T172) resulting in AMPK activation. This leads to the inhibition of anabolic pathways …

uthsc Repository record for Understanding The Role of Sumoylation In Regulating Lkb1 Function (opens in a new tab)

Genetic engineering of Agrobacterium tumefaciens to target chloroplasts and identification of a novel nuclear localization signal of VirD2 protein

Matsuoka, Aki, University of Lethbridge. Faculty of Arts and Science2015

lethbridge

Network Based Prediction of Protein Localization Using Diffusion Kernel

Mondal, Ananda Mohan

… is the development of algorithms for predicting subcellular localization of both monoplex and multiplex proteins. Most of current localization prediction algorithms employ features derived from protein sequence data and external functional annotations such as gene ontology or physicochemical …

south-carolina Repository record for Network Based Prediction of Protein Localization Using Diffusion Kernel (opens in a new tab)