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The MHC-I landscapes are much simpler: the binding energy is a nonlinear function of an intermediate trait that is additive in the peptide sequence [34], a less ...
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Apr 8, 2011 · We describe a molecular modeling study of MHC-peptide interactions that integrates sampling techniques from protein–protein docking, loop modeling, de novo ...
Sep 3, 2024 · MHC-I has a smooth landscape with global epistasis; the binding energy is a simple deformation of an underlying linear trait. This form of ...
Highlights · Inception networks trained on electrostatic maps predict MHC-I peptide binding motifs · HLA-Inception predicts MHC-I binding motifs for 5,821 MHC-I ...
Apr 17, 2024 · A deep biophysical convolutional neural network, which integrates molecular electrostatics to capture non-bonded interactions for predicting peptide binding ...
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Mar 19, 2024 · This study identifies the energy landscapes used for binding different classes of MHC molecules to peptides. The researchers discovered that MHC ...
Here we show that the sequence-dependent energy landscapes of MHC-peptide binding encode class-specific nonlinearities (epistasis). MHC-I has a smooth landscape ...
Apr 5, 2023 · General approaches for designing sequence-specific peptide-binding proteins would have wide utility in proteomics and synthetic biology.
Apr 17, 2024 · A deep biophysical convolutional neural network, which integrates molecular electrostatics to capture non-bonded interactions for predicting peptide binding ...
The varied peptide binding specificity of these highly polymorphic molecules has important consequences for vaccine design, transplantation, autoimmunity, and ...