Contact:

Interdisciplinary Laboratory of Biological Systems Modelling
Center of New Technologies, University of Warsaw
Questions should be addressed to: Joanna Sulkowska (jsulkowska AT cent.uw.edu.pl)
Technical support: Jacek Płonka (j.plonka AT cent.uw.edu.pl), Paweł Rubach (prubach AT cent.uw.edu.pl)

When you publish results using the server, please cite the following paper(s):

• Rubach, P., Plonka, J., Gren, B. A., Bruno, F., & Sulkowska, J. I. AlphaLasso – a database of AlphaFold-predicted models with lasso topology.

Publications related to lasso proteins and methods of their analysis:

• Greń, B. A., Dabrowski-Tumanski, P., Niemyska, W., & Sulkowska, J. I. (2021). Lasso Proteins—Unifying Cysteine Knots and Miniproteins. Polymers, 13(22), 3988.
• Niemyska, W., Millett, K. C., & Sulkowska, J. I. (2020). GLN: a method to reveal unique properties of lasso type topology in proteins. Scientific reports, 10(1), 15186.
• Sulkowska, J. I. (2020). On folding of entangled proteins: knots, lassos, links and θ-curves. Current opinion in structural biology, 60, 131-141.
• Dabrowski-Tumanski, P., Gren, B., & Sulkowska, J. I. (2019). Statistical properties of lasso-shape polymers and their implications for complex lasso proteins function. Polymers, 11(4), 707.
• Dabrowski-Tumanski, P., & Sulkowska, J. I. (2018). The APS-bracket–A topological tool to classify lasso proteins, RNAs and other tadpole-like structures. Reactive and Functional Polymers, 132, 19-25.
• Sulkowska, J. I., & Sułkowski, P. (2018). Entangled proteins: knots, slipknots, links, and lassos. The role of topology in materials, 201-226.
• Niemyska, W., Dabrowski-Tumanski, P., Kadlof, M., Haglund, E., Sułkowski, P., & Sulkowska, J. I. (2016). Complex lasso: new entangled motifs in proteins. Scientific reports, 6(1), 36895.
• Haglund, E., Sulkowska, J. I., Noel, J. K., Lammert, H., Onuchic, J. N., & Jennings, P. A. (2014). Pierced lasso bundles are a new class of knot-like motifs. PLoS computational biology, 10(6), e1003613.

Publications related to application of methods to investigation/discovery of lasso in proteins:

• Gierut, A. M., Niemyska, W., Dabrowski-Tumanski, P., Sułkowski, P., & Sulkowska, J. I. (2017). PyLasso: a PyMOL plugin to identify lassos. Bioinformatics, 33(23), 3819-3821.
• Dabrowski-Tumanski, P., Niemyska, W., Pasznik, P., & Sulkowska, J. I. (2016). LassoProt: server to analyze biopolymers with lassos. Nucleic acids research, 44(W1), W383-W389.
• Dabrowski-Tumanski, P., Jarmolinska, A. I., Niemyska, W., Rawdon, E. J., Millett, K. C., & Sulkowska, J. I. (2016). LinkProt: a database collecting information about biological links. Nucleic acids research, gkw976.

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