Stuart J. Tetchner

Molecular Biology · 2011–2014

A researcher in the Science corpus: 3 papers; trusts 25 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 44 citations into it; #1,265 of 17,773 by trust here, #4,806 by citations
• Computational Biology & Bioinformatics — 26 citations into it; #183 of 660 by trust here, #347 by citations
• Materials Chemistry — 20 citations into it
• Computational Theory and Mathematics — 5 citations into it; #6,339 of 12,182 by trust here, #7,851 by citations

Whom Stuart J. Tetchner trusts overall

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

1. Liam J. McGuffin
2. Yang Zhang
3. Daniel B. Roche
4. Jeffrey Skolnick
5. Lawrence A. Kelley
6. Johannes Söding
7. Michal Brylinski
8. Alasdair T. R. Laurie
9. Bingding Huang
10. David C. Jones

Who trusts Stuart J. Tetchner overall

1. Liam J. McGuffin
2. Daniel B. Roche
3. Jennifer D. Atkins
4. Jinbo Xu
5. Daniel W. A. Buchan
6. David T. Jones
7. Badri Adhikari
8. Sheng Wang
9. Ahmad N. Shuid
10. Maria T. Buenavista

Papers from Stuart J. Tetchner's perspective

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

1. The Protein Data Bank.
2. HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment
3. MAMMOTH (Matching molecular models obtained from theory): An automated method for model comparison (Protein Science)
4. TM-align: a protein structure alignment algorithm based on the TM-score
5. A threading-based method (FINDSITE) for ligand-binding site prediction and functional annotation
6. Protein structure prediction on the Web: a case study using the Phyre server (Nature Protocols)
7. 3D-Jury: A Simple Approach to Improve Protein Structure Predictions (Bioinform.)
8. BMC Bioinformatics
9. SPARKS 2 and SP3 servers in CASP6
10. Outcome of a Workshop on Applications of Protein Models in Biomedical Research

Their papers

• MetaPSICOV: combining coevolution methods for accurate prediction of contacts and long range hydrogen bonding in proteins (2014) — 335 citations
• FunFOLD: an improved automated method for the prediction of ligand binding residues using 3D models of proteins (2011) — 69 citations
• The IntFOLD server: an integrated web resource for protein fold recognition, 3D model quality assessment, intrinsic disorder prediction, domain prediction and ligand binding site prediction (2011) — 107 citations