Opendata, web and dolomites


Quantitative understanding of target recognition on DNA based on directional zipping processes

Total Cost €


EC-Contrib. €






Project "ZIPgeting" data sheet

The following table provides information about the project.


Organization address
postcode: 4109

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Total cost 2˙000˙000 €
 EC max contribution 2˙000˙000 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2016-COG
 Funding Scheme ERC-COG
 Starting year 2017
 Duration (year-month-day) from 2017-05-01   to  2022-04-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITAET LEIPZIG DE (LEIPZIG) coordinator 2˙000˙000.00


 Project objective

In the recent years a number of protein systems have been identified that recognize long (tens of base pairs) DNA sequences and allow flexible programmability of their target specificity. This promoted an enormous range of applications in genome engineering and synthetic biology. This project aims to decipher the mechanisms by which these proteins recognize their DNA targets in order to develop quantitative models/predictors for target recognition and to avoid off-target effects. To obtain detailed insight into the targeting mechanisms of different programmable systems in a “bottom-up manner”, cutting-edge single-molecule experiments, such as mechanical DNA twisting combined with single-molecule fluorescence detection will be employed. This will provide a fully quantitative characterization of the targeting process and insight into the mechanisms of allosteric regulation coupled to targeting. The quantitative data will allow to develop physics-based models of the target recognition process. In particular, we will focus on recognition through non-equilibrium, directional zipping along the target sequence – as recently revealed for CRISPR-Cas enzymes – as a promising unifying mechanism. To obtain precise targeting predictors our first-principle models will be tested and refined using high-throughput measurements on many different targets in parallel. Finally, the predictions will be used in order to understand target selection in live cells using single-molecule imaging. Within the project the following goals are defined: Goal 1: Quantitative understanding of target binding/degradation for CRISPR-Cas systems Goal 2: Detailed mechanistic insight into the target recognition process by TALEs Goal 3: Development of highly parallelized measurements on different target sequences down to the single-molecule level Goal 4: Target identification in the complex environment of live cells


year authors and title journal last update
List of publications.
2019 Inga Songailiene, Marius Rutkauskas, Tomas Sinkunas, Elena Manakova, Sabine Wittig, Carla Schmidt, Virginijus Siksnys, Ralf Seidel
Decision-Making in Cascade Complexes Harboring crRNAs of Altered Length
published pages: 3157-3166.e4, ISSN: 2211-1247, DOI: 10.1016/j.celrep.2019.08.033
Cell Reports 28/12 2020-01-14
2019 Kristina Kasaciunaite, Fergus Fettes, Maryna Levikova, Peter Daldrop, Roopesh Anand, Petr Cejka, Ralf Seidel
Competing interaction partners modulate the activity of Sgs1 helicase during DNA end resection
published pages: , ISSN: 0261-4189, DOI: 10.15252/embj.2019101516
The EMBO Journal 38/13 2020-01-14
2018 Andrey Krivoy, Marius Rutkauskas, Konstantin Kuznedelov, Olga Musharova, Christophe Rouillon, Konstantin Severinov, Ralf Seidel
Primed CRISPR adaptation in Escherichia coli cells does not depend on conformational changes in the Cascade effector complex detected in Vitro
published pages: 4087-4098, ISSN: 0305-1048, DOI: 10.1093/nar/gky219
Nucleic Acids Research 46/8 2019-04-18

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "ZIPGETING" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email ( and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "ZIPGETING" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.1.)

NanoPD_P (2020)

High throughput multiplexed trace-analyte screening for diagnostics applications

Read More  

SuperH (2019)

Discovery and Characterization of Hydrogen-Based High-Temperature Superconductors

Read More  

InsideChromatin (2019)

Towards Realistic Modelling of Nucleosome Organization Inside Functional Chromatin Domains

Read More