March 10, 2026 preprint Open access Intrinsic dataset features drive mutational effect prediction by protein language models bioRxiv (Cold Spring Harbor Laboratory) DOI: 10.64898/2026.03.08.710389 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 6 References 2 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Unsupervised protein embeddings outperform hand-crafted sequence and structure features at predicting molecular function 2020 Bioinformatics article Biochemistry, Genetics and Molecular Biology Machine Learning in Bioinformatics Open access cited by 2 patents 137 citations TransMEP: Transfer learning on large protein language models to predict mutation effects of proteins from a small known dataset 2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Machine Learning in Bioinformatics Open access 7 citations 2 results