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[HTML][HTML] Teaching AI to speak protein
Highlights•Protein Language Models (pLMs) tap into large unlabeled data to transform
protein science.•pLMs boost protein structure and function prediction performance and …
protein science.•pLMs boost protein structure and function prediction performance and …
Genomic language models: opportunities and challenges
Large language models (LLMs) are having transformative impacts across a wide range of
scientific fields, particularly in the biomedical sciences. Just as the goal of natural language …
scientific fields, particularly in the biomedical sciences. Just as the goal of natural language …
Protrek: Navigating the protein universe through tri-modal contrastive learning
ProTrek redefines protein exploration by seamlessly fusing sequence, structure, and natural
language function (SSF) into an advanced tri-modal language model. Through contrastive …
language function (SSF) into an advanced tri-modal language model. Through contrastive …
Gaia: A Context-Aware Sequence Search and Discovery Tool for Microbial Proteins
Protein sequence similarity search is fundamental to genomics research, but current
methods are typically not able to consider crucial genomic context information that can be …
methods are typically not able to consider crucial genomic context information that can be …
Limitations and Enhancements in Genomic Language Models: Dynamic Selection Approach
S Qiu - bioRxiv, 2024 - biorxiv.org
Genomic Language Models (GLMs), which learn from nucleotide sequences, have become
essential tools for understanding the principles of life and have demonstrated outstanding …
essential tools for understanding the principles of life and have demonstrated outstanding …