314 results on '"Marcatili, Paolo"'
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2. Signatures of T cell immunity revealed using sequence similarity with TCRDivER algorithm
3. Bioinformatically predicted emulsifying peptides and potato protein hydrolysate improves the oxidative stability of microencapsulated fish oil
4. Antioxidant peptides from alternative sources reduce lipid oxidation in 5% fish oil-in-water emulsions (pH 4) and fish oil-enriched mayonnaise
5. Physical and oxidative stability of fish oil-in-water emulsions stabilized with emulsifier peptides derived from seaweed, methanotrophic bacteria and potato proteins
6. Computational Modeling of Antibody and T-Cell Receptor (CDR3 Loops)
7. A Computational Pipeline for Predicting Cancer Neoepitopes
8. Antioxidant peptides derived from potato, seaweed, microbial and spinach proteins: Oxidative stability of 5% fish oil-in-water emulsions
9. Proteomic characterization of pilot scale hot-water extracts from the industrial carrageenan red seaweed Eucheuma denticulatum
10. Emulsifier peptides derived from seaweed, methanotrophic bacteria, and potato proteins identified by quantitative proteomics and bioinformatics
11. DiscoTope-3.0: improved B-cell epitope prediction using inverse folding latent representations
12. The structure, viscoelasticity and charge of potato peptides adsorbed at the oil-water interface determine the physicochemical stability of fish oil-in-water emulsions
13. Emulsifying peptides from potato protein predicted by bioinformatics: Stabilization of fish oil-in-water emulsions
14. T cell receptor sequence clustering and antigen specificity
15. Comparative Structure Analysis of the Multi-Domain, Cell Envelope Proteases of Lactic Acid Bacteria
16. 3D Protein-Structure-Oriented Discovery of Clinical Relation Across Chronic Lymphocytic Leukemia Patients
17. AnOxPePred: using deep learning for the prediction of antioxidative properties of peptides
18. Recent advances in the production of emulsifying peptides with the aid of proteomics and bioinformatics
19. Variance Analysis of LC-MS Experimental Factors and Their Impact on Machine Learning
20. Identification of emulsifier potato peptides by bioinformatics: application to omega-3 delivery emulsions and release from potato industry side streams
21. TCRpMHCmodels: Structural modelling of TCR-pMHC class I complexes
22. DiscoTope-3.0 - Improved B-cell epitope prediction using AlphaFold2 modeling and inverse folding latent representations
23. Modeling of Antibody and T-Cell Receptor Structures
24. Automated shape-based clustering of 3D immunoglobulin protein structures in chronic lymphocytic leukemia
25. Variability analysis of LC-MS experimental factors and their impact on machine learning
26. BepiPred‐3.0: Improved B‐cell epitope prediction using protein language models
27. Bioinformatically predicted emulsifying peptides and potato protein hydrolysate improves the oxidative stability of microencapsulated fish oil
28. Antioxidant peptides from alternative sources reduce lipid oxidation in 5% fish oil-in-water 2 emulsions (pH 4) and fish oil-enriched mayonnaise
29. Modeling of Antibody Structures
30. Antibody informatics for drug discovery
31. BepiPred-3.0: Improved B-cell epitope prediction using protein language models
32. 3D Protein-Structure-Oriented Discovery of Clinical Relation Across Chronic Lymphocytic Leukemia Patients
33. A potent peptide emulsifier from potato storage proteins and its natural isoforms:Insight into the structure/function relationship of amphipathic, α-helical peptide emulsifiers, their targeted release, and applicability
34. NetSurfP-3.0: accurate and fast prediction of protein structural features by protein language models and deep learning
35. Editorial: A Journey Through 50 Years of Structural Bioinformatics in Memoriam of Cyrus Chothia
36. DeepTMHMM predicts alpha and beta transmembrane proteins using deep neural networks
37. A Journey Through 50 Years of Structural Bioinformatics in Memoriam of Cyrus Chothia
38. Physical and oxidative stability of emulsions stabilized with fractionated potato protein hydrolysates obtained from starch production byproduct:Use of bioinformatics and proteomics
39. Peptide emulsifiers from potato:Structure/function and targeted release
40. Variability analysis of LC-MS experimental factors and their impact on machine learning.
41. The Protein‐Templated Synthesis of Enzyme‐Generated Aptamers
42. Selection and Modelling of a New Single-Domain Intrabody Against TDP-43
43. The Clonotypic BCR IG of CLL Patients Contain Predicted T-Cell Class I Epitopes with Shared Structural Properties
44. Bioinformatically Predicted Antioxidant Peptides Derived from Plant, Microbial, and Marine Protein Sources::Effects on the Oxidative Stability of Low Fat Emulsion at pH 4 and Mayonnaise
45. Structural Characterization of Peptide Antibodies
46. Prediction of Antibody Epitopes
47. T Cell Epitope Prediction and Its Application to Immunotherapy
48. Tabhu: tools for antibody humanization
49. Poster: Mapping novel proteolytic activities of lactic acid bacteria targeting plant proteins
50. Strategy to prevent epitope masking in CAR.CD19+ B-cell leukemia blasts
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