Accurate secondary structure prediction and fold recognition for circular dichroism spectroscopy

By András Micsonai, Frank Wien, Linda Kernya, Young-Ho Lee, Y. Goto, M. Réfrégiers, J. Kardos. 2015

1,513 citations recorded by the source corpus.

Subfields: Materials Chemistry, Molecular Biology, Spectroscopy

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. Kuldip K. Paliwal
2. Yaoqi Zhou
3. Yuedong Yang
4. Jack Hanson
5. Rhys Heffernan
6. Jihua Wang
7. Jinbo Xu
8. Sheng Wang

In Molecular Biology

1. Kuldip K. Paliwal
2. Yaoqi Zhou
3. Jack Hanson
4. Yuedong Yang
5. Rhys Heffernan
6. Jihua Wang
7. Jinbo Xu
8. Sheng Wang

In Spectroscopy

1. Jack Hanson
2. Yaoqi Zhou
3. Kuldip K. Paliwal
4. Yuedong Yang

Citations in the corpus

• Sixty-five years of the long march in protein secondary structure prediction: the final stretch? (2016, background): “Typically, high-resolution X-ray structures [38–40] were extracted to build training and test sets for secondary structure prediction, although other experimental techniques such as nuclear magnetic resonance (NMR) chemical shifts [41, 42], circular dichroism spectra [43, 44] and infrared spectrosco”
• BeStSel: webserver for secondary structure and fold prediction for protein CD spectroscopy (2022, neutral): “-sheets and including two (cid:2) -helix components, the over-all eight components of BeStSel provide a more accurate structural estimation for any secondary structure component than any previous method (4).”
• BeStSel: a web server for accurate protein secondary structure prediction and fold recognition from the circular dichroism spectra (2018, methodology): “The eight secondary structure elements of BeStSel are better descriptors of the protein structure and suitable for fold prediction (11).”