Computational Lipidomics with insane: A Versatile Tool for Generating Custom Membranes for Molecular Simulations.

By Tsjerk A. Wassenaar, Helgi I. Ingólfsson, R. Böckmann, D. Peter Tieleman, Siewert-Jan Marrink. Journal of Chemical Theory and Computation, 2015

1,062 citations recorded by the source corpus.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/7d63e5ab05f878ae4f526d89a004a9d7d73a412e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

1. Jumin Lee
2. Helgi I. Ingólfsson
3. Wonpil Im
4. Jeffery B. Klauda
5. Yifei Qi
6. Svetlana Baoukina
7. Djurre H. De Jong
8. Sunhwan Jo

Citations in the corpus

• Martini straight: Boosting performance using a shorter cutoff and GPUs (2016, methodology): “The same 100 different diacylglycerol lipid types were simulated as described in [18].”
• CHARMM-GUI Membrane Builder for Complex Biological Membrane Simulations with Glycolipids and Lipoglycans. (2018, methodology): “The CG modeling tool insane 26 provides a CG membrane model with glycolipids and phospholipids.”