5 天前 - … Although some computational methodologies have been proposed to identify potential
… which ensembles deep learning and statistical learning methods to screen peptides with …

9 天前 - … However, the identification of anticancer peptides through … In this study, we propose
ACP-ESM2, a deep learning model … feature information from peptide sequences using the …

11 天前 - … the power of deep learning tools toward … -art deep learning algorithm, AlphaFold,
in modeling protein-protein complexes. Focusing on antibody-antigen complexes, I identified …

11 天前 - … peptides are explored: (i) the incorporation of amino acids from the catalytic triad
and (ii) an approach involving metal ions. To identify … representation of peptides and it can be …

12 天前 - … We introduce a framework that integrates multiple deep learning (DL) models to
tackle … foams showcasing structural heterogeneity to polypeptide self-assemblies exhibiting …

13 天前 - … This study introduces a computational strategy to tackle the challenge of identifying
optimal umami receptors for these peptides. Our VmmScore algorithm includes two integral …

14 天前 - … In this paper, we present SpecEncoder, a novel metric learning model for peptide
identification in mass spectrometry-based proteomics. SpecEncoder addresses the limitations …

15 天前 - … in vitro T-cell-based peptide stimulation was conducted using unfractionated …
peptide-stimulated T cells on PDO growth and proliferation. The combination of Mesothelin-peptide…

16 天前 - … peptides (ACPs), naturally occurring molecules with remarkable potential to target
and kill cancer cells. However, identifying … In the past, several web-based machine learning (…

16 天前 - … overfitting in peptide identification with deep learning models. … 43 features for training
deep learning models, which cover … DiaNN, another leading peptide identification tool. Our …