Conformational Parameters for Amino Acids in Helical, β-Sheet, and Random Coil Regions Calculated from Proteins: After 40 Years

By M. Can. Soft Computing Models in Industrial and Environmental Applications, 2015

88 citations recorded by the source corpus.

Subfields: Materials Chemistry, Molecular Biology, Spectroscopy

View Paper: https://www.semanticscholar.org/paper/82ca32e3dc62b1eab1a4b29a99611c1f226100fe

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. Claudio Mirabello
2. Björn Wallner
3. Arne Elofsson
4. Liam J. McGuffin

In Molecular Biology

1. Claudio Mirabello
2. Björn Wallner
3. Liam J. McGuffin
4. Arne Elofsson
5. Erik Lindahl
6. David T. Jones
7. Torsten Schwede
8. Karolis Uziela

In Spectroscopy

1. Claudio Mirabello
2. Björn Wallner

Citations in the corpus

• rawMSA: End-to-end Deep Learning Makes Protein Sequence Profiles and Feature Extraction obsolete (2018, background): “For example, when it comes to the context of secondary structure, if we look at the Chou-Fasman amino acid propensities table [47], glutamic acid and methionine are both strongly associated with alpha-helices, so it might be useful that such amino acids are represented by similar vectors when predic”