Discriminative modelling of context-specific amino acid substitution probabilities

By Christof Angermüller, Andreas Biegert, Johannes Söding. 2012

55 citations recorded by the source corpus.

Subfields: Molecular Biology, Computational Biology & Bioinformatics

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

1. Tal Pupko
2. Eric Martz
3. Nir Ben-Tal
4. Itay Mayrose
5. Milot Mirdita
6. Martin Steinegger
7. Harald Voehringer
8. Stephan J. Haunsberger

In Computational Biology & Bioinformatics

1. Milot Mirdita
2. Martin Steinegger
3. Harald Voehringer
4. Stephan J. Haunsberger
5. A. Kessel
6. Nir Ben-Tal
7. Elon Yariv
8. G. Masrati

Citations in the corpus

• HH-suite3 for fast remote homology detection and deep protein annotation (2019, methodology): “Consistent with earlier results [5, 26], HHblits is considerably more sensitive than HMMER3 and PSI-BLAST.”
• Using evolutionary data to make sense of macromolecules with a “face‐lifted” ConSurf (2023, methodology): “The 2016 pipeline offered the BLAST-based search methods PSI-BLAST(Altschul et al. 1997; default) and CSI-BLAST (Angermüller et al. 2012), which were sufficient at the time.”