Anne-Florence Bitbol

Molecular Biology · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 55 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 99 citations into it
• Genetics — 47 citations into it
• Computational Biology & Bioinformatics — 43 citations into it
• Materials Chemistry — 9 citations into it
• Atomic and Molecular Physics, and Optics — 6 citations into it
• Statistical and Nonlinear Physics — 6 citations into it

Whom Anne-Florence Bitbol trusts overall

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

1. Martin Weigt
2. Faruck Morcos
3. Andrea Procaccini
4. Carlo Baldassi
5. Chongli Qin
6. Sergey Ovchinnikov
7. Lucy J. Colwell
8. Thomas Gueudré
9. S. Dunn
10. Lukas Burger

Who trusts Anne-Florence Bitbol overall

1. Anna G. Green
2. Gabriele Pozzati

Papers from Anne-Florence Bitbol's perspective

Ordered by how strongly the researchers Anne-Florence Bitbol 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 3D Structure Computed from Evolutionary Sequence Variation
4. Improved contact prediction in proteins: using pseudolikelihoods to infer Potts models.
5. Evolutionarily conserved pathways of energetic connectivity in protein families.
6. Accurate prediction of protein–protein interactions from sequence alignments using a Bayesian method
7. Information Theory and Statistical Mechanics
8. Dissecting the Specificity of Protein-Protein Interaction in Bacterial Two-Component Signaling: Orphans and Crosstalks
9. PSICOV: precise structural contact prediction using sparse inverse covariance estimation on large multiple sequence alignments
10. Fast and Accurate Multivariate Gaussian Modeling of Protein Families: Predicting Residue Contacts and Protein-Interaction Partners

Their papers

• Inferring interaction partners from protein sequences (2016) — 133 citations
• Inferring interaction partners from protein sequences using mutual information (2018) — 50 citations
• Revealing evolutionary constraints on proteins through sequence analysis (2018) — 29 citations