David de Juan
Molecular Biology · 2013–2016
A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 39 citations into it; #5,541 of 17,773 by trust here, #6,609 by citations
- Genetics — 31 citations into it
- Computational Biology & Bioinformatics — 16 citations into it; #304 of 660 by trust here, #358 by citations
Whom David de Juan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Florencio Pazos
- Lukas Burger
- Christopher Sander
- Alfonso Valencia
- Anthony Fodor
- Martin Weigt
- S. Dunn
- B. Reva
- Matteo Pellegrini
- S. W. Lockless
Who trusts David de Juan overall
- Andriy Kryshtafovych
- Zhenyu Yang
- Sheng Wang
- Krzysztof Fidelis
- Ryan R. Cheng
- John Rozewicki
- Jinbo Xu
- John Moult
- Guangdi Li
- Torsten Schwede
Papers from David de Juan's perspective
Ordered by how strongly the researchers David de Juan trusts endorse each paper. Same corpus, a different order for every researcher.
- Identification of direct residue contacts in protein–protein interaction by message passing
- Direct-coupling analysis of residue coevolution captures native contacts across many protein families
- Influence of conservation on calculations of amino acid covariance in multiple sequence alignments
- Accurate prediction of protein–protein interactions from sequence alignments using a Bayesian method
- Evolutionarily conserved pathways of energetic connectivity in protein families.
- A method to predict functional residues in proteins
- Correlated mutations contain information about protein-protein interaction.
- Using multiple interdependency to separate functional from phylogenetic correlations in protein alignments
- Structural basis of histidine kinase autophosphorylation deduced by integrating genomics, molecular dynamics, and mutagenesis
- Correlation of co-ordinated amino acid substitutions with function in viruses related to tobacco mosaic virus.
Their papers
- Emerging methods in protein co-evolution (2013) — 597 citations
- Allelic Landscape of Human Blood Cell Trait Variation and Links (2016)