John Thomas

Molecular Biology · 2005–2009

A researcher in the Science corpus: 4 papers; trusts 21 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 36 citations into it; #3,587 of 17,773 by trust here, #13,284 by citations
• Computational Biology & Bioinformatics — 12 citations into it; #247 of 660 by trust here, #546 by citations
• Probabilistic & Bayesian Methods — 9 citations into it; #843 of 1,525 by trust here, #904 by citations
• Materials Chemistry — 5 citations into it

Whom John Thomas trusts overall

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

1. S. W. Lockless
2. Aharon Armon
3. Anthony Fodor
4. Rachel Karchin
5. Richard Durbin
6. Nir Friedman
7. W. P. Russ
8. David John Cameron MacKay
9. William S. J. Valdar
10. Baruch Z. Harris

Who trusts John Thomas overall

1. Sivaraman Balakrishnan
2. Hetunandan Kamisetty
3. Jianzhu Ma
4. Susann Vorberg
5. Sheng Wang
6. C. Bailey‐Kellogg
7. Roshan Rao
8. S. Fatakia
9. Christopher James Langmead
10. Bornika Ghosh

Papers from John Thomas's perspective

Ordered by how strongly the researchers John Thomas trusts endorse each paper. Same corpus, a different order for every researcher.

1. Influence of conservation on calculations of amino acid covariance in multiple sequence alignments
2. The Pfam protein families database
3. Information Theory, Inference, and Learning Algorithms
4. Correlated mutations and residue contacts in proteins
5. Scoring residue conservation (Proteins: Structure, Function, and Bioinformatics)
6. Evolutionary information for specifying a protein fold
7. Evolutionarily conserved pathways of energetic connectivity in protein families.
8. De novo protein design: fully automated sequence selection.
9. ConSurf: an algorithmic tool for the identification of functional regions in proteins by surface mapping of phylogenetic information. (Journal of Molecular Biology)
10. Computational design of receptor and sensor proteins with novel functions (Nature)

Their papers

• Protein Design by Sampling an Undirected Graphical Model of Residue Constraints (2009) — 31 citations
• Graphical models of protein–protein interaction specificity from correlated mutations and interaction data (2009) — 34 citations
• Graphical Models of Residue Coupling in Protein Families (2008) — 15 citations
• Graphical models of residue coupling in protein families (2005) — 76 citations