David Eramian
Molecular Biology · 2005–2008
A researcher in the Science corpus: 5 papers; trusts 44 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 216 citations into it; #5,649 of 17,773 by trust here, #3,636 by citations
- Materials Chemistry — 140 citations into it; #3,335 of 11,513 by trust here, #3,505 by citations
- Computational Biology & Bioinformatics — 66 citations into it
- Spectroscopy — 16 citations into it
- Computational Theory and Mathematics — 10 citations into it
- Genetics — 10 citations into it
Whom David Eramian trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrej Sali
- Liam J. McGuffin
- Marc A. Martí-Renom
- Björn Wallner
- Francisco Melo
- David C. Jones
- András Fiser
- Temple F. Smith
- Arne Elofsson
- Yang Zhang
Who trusts David Eramian overall
- Ben M. Webb
- Andrej Sali
- Pascal Benkert
- Narayanan Eswar
- Zheng Yang
- Ursula Pieper
- Torsten Schwede
- Marco Biasini
Papers from David Eramian's perspective
Ordered by how strongly the researchers David Eramian trusts endorse each paper. Same corpus, a different order for every researcher.
- The Protein Data Bank.
- Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
- Hidden Markov models for detecting remote protein homologies
- Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical features
- The Pfam protein families database
- Identification of common molecular subsequences.
- The SWISS-PROT protein sequence data bank and its supplement TrEMBL
- Sequence comparisons using multiple sequences detect three times as many remote homologues as pairwise methods.
- FUGUE: sequence-structure homology recognition using environment-specific substitution tables and structure-dependent gap penalties. (Journal of Molecular Biology)
- Twilight zone of protein sequence alignments.
Their papers
- MODBASE: a database of annotated comparative protein structure models and associated resources (2005) — 705 citations
- How well can the accuracy of comparative protein structure models be predicted? (2008) — 155 citations
- Comparative Protein Structure Modeling Using MODELLER (2007) — 2,158 citations
- Comparative Protein Structure Modeling Using Modeller (2006) — 2,348 citations
- Protein structure modeling with MODELLER. (2008) — 232 citations