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URL: https://github.com/bsml320/NetBCE
Proper Citation: NetBCE (RRID:SCR_028677)
Description: Software tool used to predict linear B-cell epitopes (BCEs) from protein sequences. It helps scientists find parts of a pathogen that trigger immune responses. Interpretable deep neural network for accurate prediction of linear B-cell epitopes.
Resource Type: software application, software resource, source code
Defining Citation: PMID:36526218
Keywords: predict linear B-cell epitopes from protein sequences, find parts of pathogen, trigger immune responses,
Funding: CPRIT RP180734; CPRIT RP210045; NIDCR R01DE029818; NIDCR R01DE030122; NLM R01LM012806
Availability: Free, Available for download, Freely available
Resource Name: NetBCE
Resource ID: SCR_028677
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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
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
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