Faruck Morcos
Molecular Biology · 2011–2016
A researcher in the Science corpus: 6 papers; trusts 28 researchers and is trusted by 29 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 126 citations into it; #1,518 of 17,773 by trust here, #2,032 by citations
- Computational Biology & Bioinformatics — 58 citations into it; #239 of 660 by trust here, #204 by citations
- Genetics — 46 citations into it; #4,623 of 6,854 by trust here, #3,435 by citations
- Materials Chemistry — 31 citations into it; #11,028 of 11,513 by trust here, #9,147 by citations
- Spectroscopy — 19 citations into it
Whom Faruck Morcos trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Martin Weigt
- Debora Marks
- S. Parasuraman
- David T. Jones
- Sean R. Eddy
- Yang Zhang
- Alexander Schug
- J. Hoch
- David John Cameron MacKay
- Robert D. Finn
Who trusts Faruck Morcos overall
- Sergey Ovchinnikov
- Anne-Florence Bitbol
- Ryan R. Cheng
- Thomas A. Hopf
- Hannah K. Wayment-Steele
- Mirco Michel
- Debora Marks
- Matteo Figliuzzi
- Robin Pearce
- Martin Weigt
Papers from Faruck Morcos's perspective
Ordered by how strongly the researchers Faruck Morcos trusts endorse each paper. Same corpus, a different order for every researcher.
- Identification of direct residue contacts in protein–protein interaction by message passing
- The Pfam protein families database
- Direct-coupling analysis of residue coevolution captures native contacts across many protein families
- Protein 3D Structure Computed from Evolutionary Sequence Variation
- Profile hidden Markov models
- Information Theory, Inference, and Learning Algorithms
- Accurate de novo structure prediction of large transmembrane protein domains using fragment-assembly and correlated mutation analysis
- Information Theory and Statistical Mechanics
- Correlations among amino acid sites in bHLH protein domains: an information theoretic analysis.
- Separation of phylogenetic and functional associations in biological sequences by using the parametric bootstrap.
Their papers
- Direct-coupling analysis of residue coevolution captures native contacts across many protein families (2011) — 1,436 citations
- Genomics-aided structure prediction (2012) — 222 citations
- Coevolutionary signals across protein lineages help capture multiple protein conformations (2013) — 174 citations
- Toward rationally redesigning bacterial two-component signaling systems using coevolutionary information (2014) — 113 citations
- Coevolutionary information, protein folding landscapes, and the thermodynamics of natural selection (2014) — 139 citations
- Connecting the Sequence-Space of Bacterial Signaling Proteins to Phenotypes Using Coevolutionary Landscapes (2016) — 55 citations