A software tool for the prediction of Xaa-Pro peptide bond conformations in proteins based on 13C chemical shift statistics

By Mario Schubert, Dirk Labudde, H. Oschkinat, P. Schmieder. Journal of Biomolecular NMR, 2002

310 citations recorded by the source corpus.

Subfields: Materials Chemistry, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/3fcbff59d4017bd573d3f8c6edab0e18c769d4c5

How researchers see this paper

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

In Materials Chemistry

1. Lena Buchner
2. Peter Güntert
3. Nikolaos G. Sgourakis
4. Santrupti Nerli
5. Gaetano T. Montelione
6. Andrew C. McShan

In Molecular Biology

1. Lena Buchner
2. Peter Güntert
3. Nikolaos G. Sgourakis
4. Santrupti Nerli
5. Gaetano T. Montelione
6. Andrew C. McShan

Citations in the corpus

• Combined automated NOE assignment and structure calculation with CYANA (2015, methodology): “…proline is declared as cPRO and trans proline as PRO, and the 13Cb/13Cc chemical shift values in the (first) input chemical shift list are checked using the empirical correlation between cis and trans peptide bonds and the difference between the 13Cb and 13Cc chemical shifts (Schubert et al. 2002).”