:: DESCRIPTION
memembed is a software of membrane protein orientation and refinement using a knowledge-based statistical potential
::DEVELOPER
Bioinformatics Group – University College London
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation:
BMC Bioinformatics. 2013 Sep 18;14:276. doi: 10.1186/1471-2105-14-276.
Membrane protein orientation and refinement using a knowledge-based statistical potential.
Nugent T1, Jones DT.
:: DESCRIPTION
MEDELLER, a MP(Membrane proteins)-specific homology-based coordinate generation method, which is optimized to build highly reliable core models.
::DEVELOPER
the Oxford Protein Informatics Group
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
NO
:: MORE INFORMATION
Citation
Bioinformatics. 2010 Nov 15;26(22):2833-40. doi: 10.1093/bioinformatics/btq554. Epub 2010 Oct 5.
MEDELLER: homology-based coordinate generation for membrane proteins.
Kelm S, Shi J, Deane CM.
:: DESCRIPTION
MP-T is a sequence-structure alignment algorithm for membrane proteins. It produces accurate sequence alignments for use in homology modelling. The inputs are a fasta-formatted sequence and an annotated structure file from the iMembrane webserver.
::DEVELOPER
Oxford Protein Informatics Group (OPIG)
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
Jamie R. Hill and Charlotte M. Deane
MP-T: improving membrane protein alignment for structure prediction
Bioinformatics (2013) 29 (1): 54-61.
:: DESCRIPTION
Memoir (MEMbrane prOteIn modelleR) is a homology modelling algorithm designed for membrane proteins. The inputs are the sequence which is to be modelled, and the 3D structure of a template membrane protein.
::DEVELOPER
Oxford Protein Informatics Group (OPIG)
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
NO
:: MORE INFORMATION
Citation
Nucleic Acids Res. 2013 Jul;41(Web Server issue):W379-83. doi: 10.1093/nar/gkt331. Epub 2013 May 2.
Memoir: template-based structure prediction for membrane proteins.
Ebejer JP1, Hill JR, Kelm S, Shi J, Deane CM.
:: DESCRIPTION
MycoMemSVM is a sequence-based predictor for identifying mycobacterial membrane proteins and their types
::DEVELOPER
N/A
:: REQUIREMENTS
:: DOWNLOAD
NO
:: MORE INFORMATION
Citation
J Proteomics. 2012 Dec 21;77:321-8. doi: 10.1016/j.jprot.2012.09.006. Epub 2012 Sep 20.
Identification of mycobacterial membrane proteins and their types using over-represented tripeptide compositions.
Ding C1, Yuan LF, Guo SH, Lin H, Chen W.
:: DESCRIPTION
Mem-mEN leverages a multi-label elastic net (EN) classifier, which can yield sparse and interpretable solutions for large-scale prediction of membrane proteins with single- and multi-label functional types.
::DEVELOPER
:: SCREENSHOTS
N/A
::REQUIREMENTS
:: DOWNLOAD
NO
:: MORE INFORMATION
Citation
IEEE/ACM Trans Comput Biol Bioinform. 2015 Aug 28.
Mem-mEN: Predicting Multi-Functional Types of Membrane Proteins by Interpretable Elastic Nets.
Wan S, Mak MW, Kung SY.
:: DESCRIPTION
ThreadPair aligns membrane protein sequences to a template of known structure. Structural information from the template is used to improve the alignment.
::DEVELOPER
the Oxford Protein Informatics Group
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
Environment-Specific Substitution Tables Improve Membrane Protein Alignment
Jamie R. Hill, Sebastian Kelm, Jiye Shi, Charlotte M. Deane
Bioinformatics (2011) 27 (13): i15-i23.
:: DESCRIPTION
TMDET is an online tool for the detection of the transmembrane regions of membrane proteins by using their 3D structure only.
::DEVELOPER
the Institute of Enzymology, Hungarian Academy of Sciences.
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
NO
:: MORE INFORMATION
Citation
Tusnády GE, Dosztányi Zs and Simon I (2005)
TMDET: web server for detecting transmembrane domains by using 3D structure of proteins
Bioinformatics (2005) 21 (7): 1276-1277.
:: DESCRIPTION
MemLoci is a predictor for the subcellular localization of proteins associated or inserted in eukaryotes membranes.
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
No. Only Web Service
:: MORE INFORMATION
Citation
MemLoci: predicting subcellular localization of membrane proteins in eukaryotes.
Pierleoni A, Martelli PL, Casadio R.
Bioinformatics. 2011 May 1;27(9):1224-30. Epub 2011 Mar 2.