Pierre Barrat-Charlaix

Molecular Biology · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 45 citations into it
• Computational Biology & Bioinformatics — 29 citations into it
• Genetics — 10 citations into it

Whom Pierre Barrat-Charlaix trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. David T. Jones
2. Martin Weigt
3. Sergey Ovchinnikov
4. Debora Marks
5. Thomas A. Hopf
6. Sean R. Eddy
7. Hetunandan Kamisetty
8. David H. Ackley
9. Richard Durbin
10. Magnus Ekeberg

Who trusts Pierre Barrat-Charlaix overall

1. Alex Hawkins-Hooker

Papers from Pierre Barrat-Charlaix's perspective

Ordered by how strongly the researchers Pierre Barrat-Charlaix trusts endorse each paper. Same corpus, a different order for every researcher.

1. Identification of direct residue contacts in protein–protein interaction by message passing
2. Direct-coupling analysis of residue coevolution captures native contacts across many protein families
3. Protein structure prediction from sequence variation
4. Profile hidden Markov models
5. The Pfam protein families database
6. Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids
7. PSICOV: precise structural contact prediction using sparse inverse covariance estimation on large multiple sequence alignments
8. Improved contact prediction in proteins: using pseudolikelihoods to infer Potts models.
9. Emerging methods in protein co-evolution
10. Learning generative models for protein fold families

Their papers

• How Pairwise Coevolutionary Models Capture the Collective Residue Variability in Proteins? (2018) — 117 citations
• An evolution-based model for designing chorismate mutase enzymes (2020) — 297 citations