Rapid and accurate calculation of protein 1H, 13C and 15N chemical shifts

By Stephen Neal, A. Nip, Haiyan Zhang, David S. Wishart. Journal of Biomolecular NMR, 2003

480 citations recorded by the source corpus.

Subfields: Materials Chemistry, Molecular Biology, Spectroscopy

View Paper: https://www.semanticscholar.org/paper/9e5962e3a3bf91c93b74a2c5f176fc472d3d9898

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. Santrupti Nerli
2. Nikolaos G. Sgourakis
3. Andrew C. McShan
4. A. Bax
5. Yang Shen
6. David S. Wishart
7. Woonghee Lee
8. John L. Markley

In Molecular Biology

1. Santrupti Nerli
2. Nikolaos G. Sgourakis
3. Andrew C. McShan
4. A. Bax
5. Yang Shen
6. Beomsoo Han
7. David S. Wishart
8. Yifeng Liu

In Spectroscopy

1. Santrupti Nerli
2. Nikolaos G. Sgourakis
3. Yang Shen
4. A. Bax
5. Andrew C. McShan
6. Beomsoo Han
7. David S. Wishart
8. Jianguo Xia

Citations in the corpus

• Protein backbone and sidechain torsion angles predicted from NMR chemical shifts using artificial neural networks (2013, methodology): “Han B, Liu YF, Ginzinger SW, Wishart DS. SHIFTX2: significantly improved protein chemical shift prediction.”
• SHIFTX2: significantly improved protein chemical shift prediction (2011, methodology): “) we compiled a preliminary collection of * 300 candidate proteins from a number of sources, including RefDB (Zhang et al. 2003), the SPARTA training set 17 and the SHIFTX training set (Neal et al. 2003).”
• Chemical shift-based methods in NMR structure determination (2018, methodology): “The correlation coefficients of a few of these methods (SHIFTX [41], SPARTA (Shifts Predicted from Analogy in Residue type and Torsion Angle) [42], SPARTA+ [43], CamShift [44], SHIFTS [45], PROSHIFT [46] and SHIFTX2 [47]) range from 0.”