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DisEMBL 1.5 - Predictors of intrinsic protein disorder

Intrinsic Protein Disorder Prediction 1.5. SwissProt ID or AC:. Sequence (Amino acid single letter IUPAC code):. Stringency values for different predictors:. Use Java applet for displaying results. Prediction of low-complexity regions:. Prediction of beta aggregation:. R Linding, L.J. Jensen, F. Diella, P. Bork, T.J. Gibson and R.B. Russell. Protein disorder prediction: implications for structural proteomics. Structure Vol 11, Issue 11, 4 November 2003. Please see the DisEMBL preview paper.

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DisEMBL 1.5 - Predictors of intrinsic protein disorder | dis.embl.de Reviews
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Intrinsic Protein Disorder Prediction 1.5. SwissProt ID or AC:. Sequence (Amino acid single letter IUPAC code):. Stringency values for different predictors:. Use Java applet for displaying results. Prediction of low-complexity regions:. Prediction of beta aggregation:. R Linding, L.J. Jensen, F. Diella, P. Bork, T.J. Gibson and R.B. Russell. Protein disorder prediction: implications for structural proteomics. Structure Vol 11, Issue 11, 4 November 2003. Please see the DisEMBL preview paper.
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1 protein disorder domain boundaries predictor prediction loops unstructured unfolded intrinsic intrinsically genomics proteomics globularity non-globular X-ray nmr polypeptides biopolymers IUP IUPs IDP IDPs ELM ELMs crystallisation construct purification expression amyloid partially folded
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DisEMBL 1.5 - Predictors of intrinsic protein disorder | dis.embl.de Reviews

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Intrinsic Protein Disorder Prediction 1.5. SwissProt ID or AC:. Sequence (Amino acid single letter IUPAC code):. Stringency values for different predictors:. Use Java applet for displaying results. Prediction of low-complexity regions:. Prediction of beta aggregation:. R Linding, L.J. Jensen, F. Diella, P. Bork, T.J. Gibson and R.B. Russell. Protein disorder prediction: implications for structural proteomics. Structure Vol 11, Issue 11, 4 November 2003. Please see the DisEMBL preview paper.

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1

DisEMBL Help

http://dis.embl.de/html/help.html

Help on using DisEMBL. Submitting sequences for prediction. The sequence to be predicted must be specified in one of two ways:. A SWISS-PROT identifier (ID) or accession number (AC) is entered in the first field. The full length sequence of the mature protein is entered in the second field. As the DisEMBL prediction method makes use of sequence context, predictions on fragments will often give wrong results. One should thus always submit the full length sequence if at all possible. In X-Ray structure as ...

2

DisEMBL Links

http://dis.embl.de/html/links.html

Links to (non-)globular protein internet space. GlobPlot is propensity based method complementary to DisEMBL! Predictor from David Jones' lab. Predictor from Dunker lab. Thesis on disorder and linear motifs. Function prediction in non-globular protein space:. The Eukaryotic Linear Motif Resource. Function prediction in globular protein space:. A domain boundary detector. The Russell/Linding scale in GlobPlot is well suited for detection of domains. Domain predictor from David Jones' lab.

3

Licenses for DisEMBL™

http://dis.embl.de/html/license.html

In terms of licences it is important to distinguish between the web version and the pipeline version as they are covered by different licenses. The web service running at EMBL can be accessed freely by both academia and industry. If, however, you wish to have the DisEMBL web server running locally, you will be required to sign a Material Transfer Agreement. This agreement does not cost any money for academic instutions. The pipe-line interface described above is released under the GNU Public License (GPL).

4

DisEMBL 1.5 - Predictors of intrinsic protein disorder

http://dis.embl.de/cgiDict.py?key=process&amp;SP_entry=PRIO_HUMAN&amp;runTango=true

Invalid syntax in SwissProt record: none.

5

Abstract

http://dis.embl.de/html/abstract.html

A great challenge in the proteomics and structural genomics era is to predict protein structure and function, including identification of those proteins that are partially or wholly unstructured. Disordered regions in proteins often contain short linear peptide motifs (e.g. SH3-ligands and targeting signals) that are important for protein function. Linear peptide sites are catalogued by ELM. If you need further help please contact Rune Linding.

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bioinformatictools.blogspot.com bioinformatictools.blogspot.com

Bioinformatics Tools: In-silico characterization of proteins

http://bioinformatictools.blogspot.com/2011/11/in-silico-characterization-of-proteins.html

Bioinformatics has evolved as a great tool for molecular biologists. There are various tools available for helping in reducing the time required to analyze biological materials be it DNA, RNA, Proteins etc. I wish to list here few of the commonly used tools. Please send me suggestions to improve the content. If you like or dislike something, let me know, your inputs matters. contact me: drsanjivk[at]gmail[dot]com. Saturday, November 5, 2011. In-silico characterization of proteins. Different combinations ...

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Services offered by Protein Evolution

http://www.russelllab.org/services.shtml

This tool lets you interrogate data from our collaborative project on the Ciliary proteome, where we identified nearly 5000 interactions and over 50 complexes, involving more than 1000 proteins in the cilia. From Boldt, van Reeuwijk, Lu, Koutroumpas et al Nat Commun. From Betts et al, Nucl Acids Res. A database of protein-chemical interactions predicted by structure superimpositions: if you are interested in chemicals that might bind a particular protein or vice versa, then check it out. From Stark et al...

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Unidad de Bioinformatica CBMSO

https://ub.cbm.uam.es/home/links.php

Structural stability of ecological systems. Proteomics research: http:/ www.proteomicsresearch.org. Phyre: http:/ www.sbg.bio.ic.ac.uk/ phyre/. Fugue: http:/ www-cryst.bioc.cam.ac.uk/ fugue/. Robetta: http:/ robetta.bakerlab.org/. BlastProfiler: http:/ manaslu.aecom.yu.edu/blastprofiler.html. Hamap: http:/ trantor.bioc.columbia.edu/hmap/index.html. Mammoth: http:/ ub.cbm.uam.es/servers/mammoth/mammoth.php. Mammoth-mult: http:/ ub.cbm.uam.es/servers/mammoth/mammothmult.php.

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Disprot - Database of Protein Disorder

http://www.disprot.org/predictors.php

Xue, B., R. L. DunBrack, R.W. Williams, A.K. Dunker, and V. N. Uversky (2010) "PONDR-Fit: A meta-predictor of intrinsically disordered amino acids." Biochim. Biophys. Acta 1804(4):996-1010. Internal pointer to the PONDR-FIT meta-predictor and other PONDR methods. Linding R, Jensen LJ, Diella F, Bork P, Gibson TJ, Russell RB. "Protein disorder prediction: implications for structural proteomics." Structure. 2003;11(11):1453-9. Dosztanyi Z, Csizmok V, Tompa P, Simon I. "IUPred: web server for the predic...

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Tango

http://tango.crg.es/links.jsp

A computer algorithm for prediction of aggregating regions in unfolded polypeptide chains. Links to related sites. An algorithm to predict the helical content of peptides. Fragmenting the protein space. Program for calculating the folding pathways of proteins and the effect of a point mutation on the protein stability. A Cell Network Simulation Program. Predicting amylogenic regions in protein sequences. Prediction of protein-protein interAction of moDular domAiNs. Molecular Phenotypes of Human Diseases.

smart.embl.de smart.embl.de

SMART: Main page

http://smart.embl.de/index2.cgi

Schultz et al. (1998). Proc Natl. Acad. Sci. USA. Letunic et al. (2014). You may use either a Uniprot. Sequence identifier (ID) / accession number (ACC) or the protein sequence itself to perform the SMART analysis service. Sequence ID or ACC. Examples: Q4SNE7 Q4SNE7 TETNG nMLRLSLLLLLHCHWASSTLLGWVESPGYPHGYLPHASLNWSRCARKGHIISIRLVHLDLEKSRNCENDAVKVLSDGSPISILCGKKSFAELQSSVNPLLRSSTGGCLTLLFASDYSNTRRHSGFRGFYTEQDFDECRDDPEASCNQFCHNFVGGYYCSCRHGYHLKEDQRTCTVRCSEDLSGLREGALSSPSWPAPYPAHAHCLYTLSVDEHLQVELHFSDGFDVEQSTDGHCVD...

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Services offered by Protein Evolution

http://www.landscape.syscilia.org/services.shtml

This tool lets you interrogate data from our collaborative project on the Ciliary proteome, where we identified nearly 5000 interactions and over 50 complexes, involving more than 1000 proteins in the cilia. From Boldt, van Reeuwijk, Lu, Koutroumpas et al Nat Commun. From Betts et al, Nucl Acids Res. A database of protein-chemical interactions predicted by structure superimpositions: if you are interested in chemicals that might bind a particular protein or vice versa, then check it out. From Stark et al...

mechismo.russelllab.org mechismo.russelllab.org

Services offered by Protein Evolution

http://www.mechismo.russelllab.org/services.shtml

This tool lets you interrogate data from our collaborative project on the Ciliary proteome, where we identified nearly 5000 interactions and over 50 complexes, involving more than 1000 proteins in the cilia. From Boldt, van Reeuwijk, Lu, Koutroumpas et al Nat Commun. From Betts et al, Nucl Acids Res. A database of protein-chemical interactions predicted by structure superimpositions: if you are interested in chemicals that might bind a particular protein or vice versa, then check it out. From Stark et al...

lindinglab.science lindinglab.science

Digital ‘Rosetta Stone’ Decrypts How Mutations Rewire Cancer Cells — Rune Linding : Research Group

http://www.lindinglab.science/news

Only in current section. Digital ‘Rosetta Stone’ Decrypts How Mutations Rewire Cancer Cells. Scientists have discovered how genetic cancer mutations systematically attack the networks controlling human cells, knowledge critical for the future development of personalized precision cancer treatments. Lori Waters, Waters Biomedical, 2015. Computational Rosetta Stone decodes Mutations Rewiring Cancer Signaling. Lead researcher on the projects, Prof Dr Rune Linding from the Biotech Research and Innovation Cen...

lindinglab.org lindinglab.org

Tony Pawson (1952 - 2013) — Rune Linding : Research Group

http://www.lindinglab.org/news/tony-pawson-1952-2013

Only in current section. Tony Pawson (1952 - 2013). Tony Pawson (1952 - 2013). The entire world-wide research community mourns the passing of Dr Tony Pawson. It is with great sadness that we learned that we have lost our great hero, close friend, fantastic mentor, superb colleague, wonderful human being and maverick of a scientist Tony Pawson. Across biology and life-sciences this will be felt deep and long. There is no field we can imagine that will not be touched by this massive loss. Take care and sta...

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DisEMBL 1.5 - Predictors of intrinsic protein disorder

Intrinsic Protein Disorder Prediction 1.5. SwissProt ID or AC:. Sequence (Amino acid single letter IUPAC code):. Stringency values for different predictors:. Use Java applet for displaying results. Prediction of low-complexity regions:. Prediction of beta aggregation:. R Linding, L.J. Jensen, F. Diella, P. Bork, T.J. Gibson and R.B. Russell. Protein disorder prediction: implications for structural proteomics. Structure Vol 11, Issue 11, 4 November 2003. Please see the DisEMBL preview paper.

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