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Martini workshop 2021

Details: Last Updated: Monday, 26 July 2021 22:12

Martini 3.0 online workshop - 1-3 September 2021.

We are happy to announce the next Martini workshop, which will take place online as traveling options are still limited. The three day workshop will consist of a number of pre-recorded lectures and associated Q&A session by some of the key Martini developers, as well as dedicated tutorial sessions where students can practice both basic and advanced Martini simulations under the guidance of expertised assistants. Topics we will cover include, of course, the ins and outs of the latest Martini version, Martini 3.0, and the growing list of associated tools and methods such as martinize2, insane, backwards, TS2CG, polyply, titratable Martini and the Martini database.

Registration for the event is now closed!

Looking forward to meeting you online !

Paulo, Manuel, & Siewert-Jan

(for further questions, please contact Paulo at This email address is being protected from spambots. You need JavaScript enabled to view it.)

PIPs

Details: Last Updated: Monday, 14 June 2021 18:17

Now available from the Melo lab: PIP lipids in all sorts and sizes, compatible with Martini 3.

Downloadable from

https://github.com/MeloLab/PhosphoinositideParameters.

ProLint

Details: Last Updated: Wednesday, 02 June 2021 13:50

For protein-lipid afficionados: The Tieleman group has developed a new webserver coined ProLint, a user-friendly framework for the automated analysis and interactive visualization of Protein-Lipid interactions, supporting the Martini forcefield. The webportal can be accessed at https://www.prolint.ca/, and details are described in this paper.

Complex coacervates

Details: Last Updated: Wednesday, 19 May 2021 09:35

Complex coacervate formation with the latest Martini 3 model - now published in Chemical Science by our PhD student Maria Tsanai: pubs.rsc.org/en/content/artWe reproduce the salt-dependent coacervation of a system of oppositely charged biopolymers, and simulate the partitioning of ssRNA molecules between the coacervate and supernatant phases. This study opens the way to simulate biomolecular condensates and other liquid-liquid phase separation driven processes at near-atomic resolution.