Bayesian probabilistic approach for predicting backbone structures in terms of protein blocks
By A. D. Brevern, Catherine Etchebest, S. Hazout. Proteins: Structure, Function, and Bioinformatics, 2000
317 citations recorded by the source corpus.
Subfields: Molecular Biology
View Paper: https://www.semanticscholar.org/paper/5bbdb6f21e3bc08bbab20ac5a82b6caa037f7702
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Molecular Biology
- Martin Steinegger
- Milot Mirdita
- Johannes Söding
- A. G. D. Brevern
- Bernard O. Offmann
- Michel van Kempen
- Stephanie S. Kim
- J. Lee
Citations in the corpus
- Local Protein Structures (2007, background): “60 [285, 352] have proved their efficiency both in the description and the prediction of small loops [99, 283, 362, 363] or long fragments [349, 364-368].”
- Fast and accurate protein structure search with Foldseek (2022, background): “Most, such as CLE, 3D-BLAST and Protein Blocks, discretize the conformations of short stretches of usually 3–5 C α atoms 17–19 .”
- p-Adic mathematical physics: the first 30 years (2017, methodology): “In [183] this approach was generalized as a model which unifies the fragment approach to proteins (construction of protein conformations as sequences of conformations of short fragments, see [305, 225, 226]) and the method of statistical potentials.”