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URL: https://github.com/KarchinLab/mhcnuggets
Proper Citation: MHCnuggets (RRID:SCR_028674)
Description: Software tool that predicts how protein pieces bind to Major Histocompatibility Complex (MHC) molecules. It uses deep learning to process peptide sequences, handle variable lengths, and evaluate both common and rare alleles. Used to predicts peptide-MHC binding. Can predict binding for common or rare alleles of MHC class I or II with a single neural network architecture.
Resource Type: software application, software resource, source code
Defining Citation: PMID:31871119
Keywords: MHC Class I and Class II neoantigen binding prediction, predict peptide-MHC binding,
Funding: Dutch Cancer Society International Translational Cancer Research ; NCI CA006973; NCI CA121113; NCI CA180950
Availability: Free, Available for download, Freely available
Resource Name: MHCnuggets
Resource ID: SCR_028674
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
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