PlaToLoCo: the first web meta-server for visualization and annotation of low complexity regions in proteins

Author:

Jarnot Patryk1ORCID,Ziemska-Legiecka Joanna2,Dobson Laszlo34ORCID,Merski Matthew5,Mier Pablo6ORCID,Andrade-Navarro Miguel A6ORCID,Hancock John M7ORCID,Dosztányi Zsuzsanna8,Paladin Lisanna9ORCID,Necci Marco9,Piovesan Damiano9,Tosatto Silvio C E9ORCID,Promponas Vasilis J10ORCID,Grynberg Marcin2ORCID,Gruca Aleksandra1ORCID

Affiliation:

1. Department of Computer Networks and Systems, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland

2. Institute of Biochemistry and Biophysics PAS, Pawinskiego 5A, 02-106 Warsaw, Poland

3. Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Práter u. 50/A, 1083 Budapest, Hungary

4. Research Centre for Natural Sciences, Magyar Tudósok Körútja 2, 1117 Budapest, Hungary

5. Structural Biology Group, Biological and Chemical Research Centre, Department of Chemistry, University of Warsaw, Żwirki i Wigury 101, 02-089 Warsaw, Poland

6. Faculty of Biology, Johannes Gutenberg University Mainz, Hans-Dieter-Hüsch-Weg 15, 55128 Mainz, Germany

7. ELIXIR, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK

8. Department of Biochemistry, ELTE Eötvös LorándUniversity, Budapest, Pázmány Péter stny 1/c 1117, Budapest, Hungary

9. Department of Biomedical Sciences, University of Padova, Via Ugo Bassi 58/B, 35131 Padova, Italy

10. Bioinformatics Research Laboratory, Department of Biological Sciences, University of Cyprus, P.O. Box 20537, Nicosia, CY 1678, Cyprus

Abstract

Abstract Low complexity regions (LCRs) in protein sequences are characterized by a less diverse amino acid composition compared to typically observed sequence diversity. Recent studies have shown that LCRs may co-occur with intrinsically disordered regions, are highly conserved in many organisms, and often play important roles in protein functions and in diseases. In previous decades, several methods have been developed to identify regions with LCRs or amino acid bias, but most of them as stand-alone applications and currently there is no web-based tool which allows users to explore LCRs in protein sequences with additional functional annotations. We aim to fill this gap by providing PlaToLoCo - PLAtform of TOols for LOw COmplexity—a meta-server that integrates and collects the output of five different state-of-the-art tools for discovering LCRs and provides functional annotations such as domain detection, transmembrane segment prediction, and calculation of amino acid frequencies. In addition, the union or intersection of the results of the search on a query sequence can be obtained. By developing the PlaToLoCo meta-server, we provide the community with a fast and easily accessible tool for the analysis of LCRs with additional information included to aid the interpretation of the results. The PlaToLoCo platform is available at: http://platoloco.aei.polsl.pl/.

Funder

Horizon 2020

European Social Fund

National Science Centre, Poland

Deutsche Forschungsgemeinschaft

Rector's research and development grant

Silesian University of Technology

Publisher

Oxford University Press (OUP)

Subject

Genetics

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