Vikram K. Mulligan

The open-source Masala software suite: Facilitating rapid methods development for synthetic heteropolymer design Although canonical protein design has benefited from machine learning methods trained on databases of protein sequences and structures, synthetic heteropolymer design still relies heavily on physics-b...

The latest version of our preprint describing the Masala macromolecular modelling suite is available from bioRxiv (www.biorxiv.org/content/10.1...)! We have added information about the new RandomCostFunctionNetworkOptimizer, BFGSFunctionOptimizer, and DFPFunctionOptimizer.

GitHub - flatironinstitute/masala_public: The public repository for the Core library of the Masala software suite. Masala is a set of free and open-source tools for biomolecular modelling, with a plu... The public repository for the Core library of the Masala software suite. Masala is a set of free and open-source tools for biomolecular modelling, with a plugin-based infrastructure that makes it ...

The Masala macromolecular modelling suite is out of beta! Updated version 1.0 releases of Masala's Core (github.com/flatironinst...) and Standard Masala Plugins (github.com/flatironinst...) libraries are now available, as is a patch to use Masala with Rosetta 3.15 (github.com/flatironinst...).

The open-source Masala software suite: Facilitating rapid methods development for synthetic heteropolymer design Although canonical protein design has benefited from machine learning methods trained on databases of protein sequences and structures, synthetic heteropolymer design still relies heavily on physics-b...

We have a new preprint out on the Masala software suite, a free and open-source platform for easy biomolecular modelling methods development. www.biorxiv.org/content/10.1...