Protein Language Models
PulseAugur coverage of Protein Language Models — every cluster mentioning Protein Language Models across labs, papers, and developer communities, ranked by signal.
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Protein language models' allergen explanations lack biological grounding
A new study published on arXiv questions the biological relevance of explanations provided by protein language models used in allergenicity classification. While models like ESM-2 and DeepPlantAllergy demonstrate strong…
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New method enables protein model steering without human feedback · 2 sources tracked
Researchers have developed a new framework called unsupervised reward optimization for protein language models (PLMs). This method allows for steerable protein generation without the need for costly wet-lab validation o…
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SurfDesign framework advances protein design using surface geometry
Researchers have developed SurfDesign, a new framework for protein design that focuses on molecular surface geometry and physicochemical properties. This method integrates continuous geometric manifold modeling of surfa…
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New protein language models enhance molecular dynamics and design
Researchers are developing advanced protein language models (pLMs) to improve molecular dynamics simulations and protein design. One approach, PLaTITO, integrates protein language model embeddings to enhance the general…
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Protein language models use specialized mechanisms to detect sequence repeats
Researchers have investigated how protein language models (PLMs) identify repeating segments within protein sequences. Their findings indicate that PLMs first create feature representations using general positional atte…
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ProteinOPD framework enhances protein design alignment with 8x speedup
Researchers have developed ProteinOPD, a new framework for aligning protein language models (PLMs) with desired functions. This method adapts pretrained PLMs into specialized teachers and distills their knowledge into a…