Dataset and supplementary for A Transformer-based Model to Predict Peptide-Protein Binding for Anti-inflammatory Lead Peptide Discovery

DataCite Commons2024-09-18 更新110

Additional file 3: of NetMHCpan-3.0; improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length datasets

MHC-肽结合预测

Allele-specific length preference for 24 MHC molecules characterized by 20 or more ligand data points for the allmer and 9mer prediction methods compared to the length preference in the SYFPEITHI data

Figshare2016-12-15 更新80

MYLU-B*67:01ΔMQQPW mass spectrometry results

免疫肽组学

MHC-肽结合预测

The RPLD-MS system was used to obtain peptides that bind to bat MHC I molecules, and their sequences were sequenced by mass spectrometry, based on which the peptide sequences obtained were used to pre

NIAID Data Ecosystem50

<b>A Transformer-based Model to Predict Peptide-Protein Binding for </b><b>Anti-inflammatory Lead Peptide Discovery-</b>dataset and supplementary

资源简介：

<b>A Transformer-based Model to Predict Peptide-Protein Binding for </b><b>Anti-inflammatory Lead Peptide Discovery-</b>dataset and supplementary

资源简介：

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