Evaluating Protein Transfer Learning with TAPE

Cited by (723)

Items 301–400 of 723

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5. A Deep SE(3)-Equivariant Model for Learning Inverse Protein Folding
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6. TM-Vec: template modeling vectors for fast homology detection and alignment
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8. Protein Fitness Prediction Is Impacted by the Interplay of Language Models, Ensemble Learning, and Sampling Methods
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9. RPPSP: A Robust and Precise Protein Solubility Predictor by Utilizing Novel Protein Sequence Encoder
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10. Group Activity Recognition in Basketball Tracking Data – Neural Embeddings in Team Sports (NETS)
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12. A novel framework integrating AI model and enzymological experiments promotes identification of SARS-CoV-2 3CL protease inhibitors and activity-based probe
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13. Fast and accurate modeling and design of antibody-antigen complex using tFold
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14. PLMFit: benchmarking transfer learning with protein language models for protein engineering
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15. PreMode predicts mode-of-action of missense variants by deep graph representation learning of protein sequence and structural context
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18. Machine learning for predicting protein properties: A comprehensive review
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19. Protein language models for predicting drug–target interactions: Novel approaches, emerging methods, and future directions
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21. PSSM-Distil: Protein Secondary Structure Prediction (PSSP) on Low-Quality PSSM by Knowledge Distillation with Contrastive Learning
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22. Generating novel protein sequences using Gibbs sampling of masked language models
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23. Improving Generalizability of Protein Sequence Models with Data Augmentations
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24. Learning the Language of Antibody Hypervariability
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33. Generalized Property-Based Encoders and Digital Signal Processing Facilitate Predictive Tasks in Protein Engineering
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42. DeepDRP: Prediction of intrinsically disordered regions based on integrated view deep learning architecture from transformer-enhanced and protein information
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43. DeepPLM_mCNN: An approach for enhancing ion channel and ion transporter recognition by multi-window CNN based on features from pre-trained language models
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44. Exploring the sequence-function space of microbial fucosidases
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45. Amino acid sequence encodes protein abundance shaped by protein stability at reduced synthesis cost
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47. TAPE_selection: Organelle Proteins Classification With TAPE Feature Selection
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48. MULAN: multimodal protein language model for sequence and structure encoding
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49. SPRoBERTa: protein embedding learning with local fragment modeling
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54. Graph neural network integrated with pretrained protein language model for predicting human–virus protein–protein interactions
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55. Collectively encoding protein properties enriches protein language models
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56. Disto-TRP: An approach for identifying transient receptor potential (TRP) channels using structural information generated by AlphaFold
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