Manjunath K. Vanahalli

Enhancing protein subcellular localization prediction through language model-based knowledge embeddings and machine learning techniques.

Evaluating the effectiveness of embeddings from five Protein Language Models, including ProtBERT-BFD, ESM-2, ProtALBERT, ProLLaMA, and ProtGPT-2, as input features for various machine learning classifiers suggests that while current embeddings offer strong performance, further advancements in feature extraction and model architectures are needed to significantly boost strict accuracy.