Automatic NOESY assignment in CS-RASREC-Rosetta

By Oliver F. Lange. 2014

19 citations recorded by the source corpus.

Subfields: Nuclear and High Energy Physics, Pulmonary and Respiratory Medicine

How researchers see this paper

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

In Nuclear and High Energy Physics

1. Nikolaos G. Sgourakis
2. Santrupti Nerli
3. Andrew C. McShan

In Pulmonary and Respiratory Medicine

1. Nikolaos G. Sgourakis
2. Santrupti Nerli
3. Andrew C. McShan

Citations in the corpus

• CS-ROSETTA (2018, methodology): “Alongside de novo structure prediction, CS-Rosetta offers an algorithm, AutoNOE, for automated assignment of 2D, 3D, or 4D NOESY cross-peaks (Lange, 2014).”
• Chemical shift-based methods in NMR structure determination (2018, methodology): “For instance, Auto-NOE-Rosetta (Automatic NOESY Assignment-Rosetta) [214] leverages the powerful RASREC-Rosetta sampling engine (see Section 4) together with an iterative NOE assignment algorithm which uses network anchoring [212], agreement with a pool of preliminary models (already built into the ”