Fine-Tuning Biological Foundation Models with LoRA Using NVIDIA BioNeMo Recipes
Foundation models pretrained on large protein and genomic sequence datasets, such as ESM2 and Evo 2, enable diverse computational biology tasks. NVIDIA BioNeMo recipes facilitate efficient fine-tuning of these models using LoRA.
Foundation models are reshaping computational biology. Pretrained on massive corpora of protein or genomic sequences, models such as ESM2 (a protein language model) and Evo 2 (a DNA language model) capture statistical regularities of biological sequences. These transfer well to a wide range of downstream tasks, including structure prediction, variant effect, and functional annotation. NVIDIA BioNeMo recipes enable fine-tuning these models efficiently using LoRA, facilitating improved performance on specialized biological tasks.