We also show how one can integrate STARLING with protein design tools to build de novo disordered protein sequences with target ensemble properties.

We benchmark STARLING against decades of elegant biophysical research of disordered proteins, including smFRET, SAXS, and NMR experiments, and find that STARLING displays remarkable agreement.

STARLING produces high-quality predictions at a blazingly fast rate on GPUs and Apple Silicon and is still performant on CPUs.

STARLING presents a generalization of this recent work by enabling the generation of IDR ensembles from which any observable and its distribution can be computed.

STARLING is a generative model designed for the accurate prediction of coarse-grained disordered protein conformational ensembles.

Excited to announce the newest member of the flock - STARLING (conSTruction of intrinsicAlly disoRdered proteins ensembles efficientLy vIa multi-dimeNsional Generative models).
www.biorxiv.org/content/10.1...