Nir Ben-Tal

Molecular Biology · 2001–2023

A researcher in the Science corpus: 12 papers; trusts 33 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 120 citations into it; #2,010 of 17,773 by trust here, #3,311 by citations
• Computational Biology & Bioinformatics — 70 citations into it
• Genetics — 24 citations into it
• Spectroscopy — 23 citations into it
• Materials Chemistry — 22 citations into it
• Paleontology — 9 citations into it
• Computational Theory and Mathematics — 7 citations into it

Whom Nir Ben-Tal trusts overall

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

1. Julie Dawn Thompson
2. Tal Pupko
3. David T. Jones
4. Amos Bairoch
5. William R. Taylor
6. Christopher Sander
7. Joseph Felsenstein
8. Paul O. Lewis
9. Itay Mayrose
10. Stephen F. Altschul

Who trusts Nir Ben-Tal overall

1. John Thomas
2. Haim Ashkenazy
3. Bingding Huang
4. Tal Pupko
5. John A. Capra
6. Itay Mayrose
7. Barak Yariv
8. Eric Martz
9. Devlina Chakravarty
10. Naren Ramakrishnan

Papers from Nir Ben-Tal's perspective

Ordered by how strongly the researchers Nir Ben-Tal trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Pfam protein families database
2. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
3. Basic local alignment search tool.
4. SCOP: a structural classification of proteins database for the investigation of sequences and structures.
5. The SWISS-PROT protein sequence data bank and its supplement TrEMBL
6. Phylogeny-Aware Gap Placement Prevents Errors in Sequence Alignment and Evolutionary Analysis (Science)
7. A general empirical model of protein evolution derived from multiple protein families using a maximum-likelihood approach.
8. RASMOL: biomolecular graphics for all.
9. HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment
10. MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability

Their papers

• ConSurf: an algorithmic tool for the identification of functional regions in proteins by surface mapping of phylogenetic information. (2001) — 541 citations
• ConSeq: the identification of functionally and structurally important residues in protein sequences (2004) — 522 citations
• ConSurf 2010: calculating evolutionary conservation in sequence and structure of proteins and nucleic acids (2010) — 1,867 citations
• Comparison of site-specific rate-inference methods for protein sequences: empirical Bayesian methods are superior. (2004) — 452 citations
• ConSurf 2005: the projection of evolutionary conservation scores of residues on protein structures (2005) — 1,449 citations
• Rate4Site: an algorithmic tool for the identification of functional regions in proteins by surface mapping of evolutionary determinants within their homologues (2002) — 632 citations
• ConSurf 2016: an improved methodology to estimate and visualize evolutionary conservation in macromolecules (2016) — 2,910 citations
• ConSurf: Using Evolutionary Data to Raise Testable Hypotheses about Protein Function (2013) — 565 citations
• A Cα model for the transmembrane α helices of gap junction intercellular channels (2004) — 101 citations
• Using evolutionary data to make sense of macromolecules with a “face‐lifted” ConSurf (2023) — 350 citations
• PredictProtein—an open resource for online prediction of protein structural and functional features (2014) — 539 citations
• Co-evolving residues in membrane proteins (2007) — 75 citations