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Protocols

TANGO specifications

Information


Unique identifier OMICS_03859
Name TANGO
Software type Application/Script
Interface Command line interface
Restrictions to use None
Input data A protein sequence.
Output data An extensive sample of fragments for which competing structural propensities.
Operating system Unix/Linux
Computer skills Advanced
Stability Stable
Registration required Yes
Maintained Yes

Versioning


No version available

Maintainer


  • person_outline Luis Serrano

Publication for TANGO

TANGO citations

 (82)
call_split

Hsp90 shapes protein and RNA evolution to balance trade offs between protein stability and aggregation

2018
Nat Commun
PMCID: 5934419
PMID: 29725062
DOI: 10.1038/s41467-018-04203-x
call_split See protocol

[…] icted with FoldX (foldxsuite.crg.es) for poliovirus proteins P1 (PDB structure 2PLV), 3C (4DCD), and 3D (4NLR). The effect of amino acid mutations on protein aggregation propensity was predicted with Tango (tango.crg.es), and changes in amino acid hydrophobicity upon mutation were assessed by the Kyte–Doolittle scale normalized to zero-mean and unitary standard deviation. Mutations were subsequent […]

library_books

Aggregating sequences that occur in many proteins constitute weak spots of bacterial proteostasis

2018
Nat Commun
PMCID: 5830399
PMID: 29491361
DOI: 10.1038/s41467-018-03131-0

[…] We used the statistical thermodynamics algorithm TANGO to analyze the aggregation propensity and APR redundancy of the E. coli strain O157:H7 proteome. This yielded 3,535 APR sequences of at least six amino acids in length with a TANGO score of at l […]

library_books

Using extensional flow to reveal diverse aggregation landscapes for three IgG1 molecules

2018
Biotechnol Bioeng
PMCID: 5900942
PMID: 29315487
DOI: 10.1002/bit.26543

[…] ntial for any biopharmaceutical, including mAb‐based products, to progress successfully from molecule to market (Jain et al., ; Tiller & Tessier, ; van der Kant et al., ). In silico analyses, such as TANGO (Fernandez‐Escamilla, Rousseau, Schymkowitz, & Serrano, ), Zyggregator (Tartaglia & Vendruscolo, ), Waltz (Oliveberg, ), Aggrescan (Conchillo‐Solé et al., ), and PASTA (Trovato, Seno, & Tosatto, […]

call_split

Large scale aggregation analysis of eukaryotic proteins reveals an involvement of intrinsically disordered regions in protein folding

2018
Sci Rep
PMCID: 5766493
PMID: 29330519
DOI: 10.1038/s41598-017-18977-5
call_split See protocol

[…] finition of Q/N rich regions was followed by the report by Michelitsch and Weissman, and the calculation was conducted by in-house Perl scripts. The predicted aggregation propensity was calculated by TANGO 2.3, whose binary program was obtained from the website (http://tango.crg.es/). The prediction of intrinsically disordered regions was performed by DICHOT algorithm,. Essentiality of each gene w […]

library_books

Engineering of Fc Fragments with Optimized Physicochemical Properties Implying Improvement of Clinical Potentials for Fc Based Therapeutics

2018
Front Immunol
PMCID: 5766897
PMID: 29375551
DOI: 10.3389/fimmu.2017.01860

[…] be optimized after rational introduction of proper hydrophilic amino acids for disruption of the large hydrophobic aggregation-prone clusters. In addition to SAP (–), several online programs such as TANGO (–), PASTA (), AGGRESCAN (), and Aggrescan3D () are also widely used to predict aggregation-prone regions within proteins. Therefore, it is desired that new Ig variants could be identified in th […]

library_books

Calmodulin regulates Cav3 T type channels at their gating brake

2017
PMCID: 5723990
PMID: 28972185
DOI: 10.1074/jbc.M117.807925

[…] re determined using the prediction tool in ExPaSy (http://web.expasy.org/protparam/), and the aggregation propensity was determined using the on-line software at Centre for Genomic Regulation (http://tango.crg.es/).6 All phylogenetic alignments were done using variations of the BLAST tool on the GenBankTM web site. The CaM-binding site prediction database (http://calcium.uhnres.utoronto.ca/ctdb/co […]


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TANGO institution(s)
European Molecular Biology Laboratory, Heidelberg, Germany; SWITCH Laboratory, Flemish Institute for Biotechnology, Vrije Universiteit Brussel, Brussel, Belgium
TANGO funding source(s)
Supported by an EU Training and Mobility of Researchers grant (EU Network on amyloid fibril formation, CT2-00241).

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