Subcellular Localization Prediction of Legume Crop Proteins

Unlocking the mysteries of protein localization is crucial for understanding cellular functions. In the realm of legume crops, this knowledge is pivotal for enhancing agricultural productivity and sustainability. LegumeLoc harnesses the power of deep learning models to predict the subcellular localization of legume crop proteins with unprecedented accuracy and efficiency. LegumeLoc offers a user-friendly interface that simplifies complex analyses, enabling users to explore the intricate world of protein localization with ease. Our deep learning model utilizes a multi-layered architecture with a combination of convolutional neural networks (CNNs) for subcellular localization prediction. Various subcellular localizations predicted are nucleus, cytoplasm, plastid, membrane, endoplasmic reticulum, golgi apparatus, cell membrane, mitochondria, secreted, peroxisome, and vacuole. Additionally, LegumeLoc also supports prediction of dual subcellular localization of proteins.