MHCMIR specifications

Information


Unique identifier OMICS_08224
Name MHCMIR
Software type Package/Module
Interface Command line interface
Restrictions to use None
Input data Enter a list of peptides or a single protein sequence
Operating system Unix/Linux
Computer skills Advanced
Version 1.0
Stability Stable
Maintained Yes

Versioning


No version available

Maintainer


  • person_outline Yasser El-Manzalawy

Information


Unique identifier OMICS_08224
Name MHCMIR
Interface Web user interface
Restrictions to use None
Input data Enter a list of peptides or a single protein sequence
Computer skills Basic
Version 1.0
Stability Stable
Maintained Yes

Maintainer


  • person_outline Yasser El-Manzalawy

Publication for MHCMIR

MHCMIR citations

 (2)
library_books

Machine Learning Methods for Predicting HLA–Peptide Binding Activity

2015
Bioinform Biol Insights
PMCID: 4603527
PMID: 26512199
DOI: 10.4137/BBI.S29466

[…] eptide similarity scores in their kernel method. They also compared 83 different matrices including physicochemical and structural distance matrices and found BLOSUM62 matrix was among the top three. MHCMIR/MHC2MIR, implemented the BLOSUM62 matrix to compute subsequence similarities as well. For some other machine learning models, the BLOSUMs are just used as descriptors. In addition to sparse enc […]

library_books

MHC2MIL: a novel multiple instance learning based method for MHC II peptide binding prediction by considering peptide flanking region and residue positions

2014
BMC Genomics
PMCID: 4290625
PMID: 25521198
DOI: 10.1186/1471-2164-15-S9-S9

[…] Although multiple instance learning has been already applied in MHCMIR and MultiMHCII, the domain knowledge in MHC-II peptide binding is not incorporated very well. MHCMIR and MultiMHCII consider only 9 length instances and MHCMIL treats 9 amino acids in each inst […]

MHCMIR institution(s)
Department of Systems and Computers Engineering, Al-Azhar University, Cairo, Egypt

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