Anna R. Panchenko
Molecular Biology · 2002–2020
A researcher in the Science corpus: 9 papers; trusts 48 researchers and is trusted by 27 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 166 citations into it; #1,119 of 17,773 by trust here, #2,408 by citations
- Computational Biology & Bioinformatics — 24 citations into it
- Materials Chemistry — 20 citations into it; #1,334 of 11,513 by trust here, #6,876 by citations
- Spectroscopy — 19 citations into it
- Cell Biology — 6 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Anna R. Panchenko trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael Gribskov
- Julie Dawn Thompson
- Jean-François Gibrat
- Alejandro A. Schäffer
- Stephen F. Altschul
- Joel S. Bader
- Nina L. Robinson
- Golan Yona
- Aron Marchler-Bauer
- Desmond G. Higgins
Who trusts Anna R. Panchenko overall
- Ben M. Webb
- Marc A. Martí-Renom
- Andrej Sali
- Narayanan Eswar
- Mallur Srivatsan Madhusudhan
- Sabry Razick
- Benjamin A. Shoemaker
- Johannes Söding
- Lukas Burger
- Yanjun Qi
Papers from Anna R. Panchenko's perspective
Ordered by how strongly the researchers Anna R. Panchenko trusts endorse each paper. Same corpus, a different order for every researcher.
- Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
- The Pfam protein families database
- A comprehensive two-hybrid analysis to explore the yeast protein interactome (Proceedings of the National Academy of Sciences of the United States of America)
- Basic local alignment search tool.
- SCOP: a structural classification of proteins database for the investigation of sequences and structures.
- CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice.
- Functional organization of the yeast proteome by systematic analysis of protein complexes (Nature)
- Sequence comparisons using multiple sequences detect three times as many remote homologues as pairwise methods.
- Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometry (Nature)
- A Bayesian Networks Approach for Predicting Protein-Protein Interactions from Genomic Data
Their papers
- Deciphering Protein–Protein Interactions. Part II. Computational Methods to Predict Protein and Domain Interaction Partners (2007) — 364 citations
- Finding weak similarities between proteins by sequence profile comparison. (2003) — 60 citations
- CDD: a database of conserved domain alignments with links to domain three-dimensional structure (2002) — 672 citations
- Database resources of the National Center for Biotechnology Information (2017) — 5,948 citations
- CDD: a curated Entrez database of conserved domain alignments (2003) — 788 citations
- Deciphering Protein–Protein Interactions. Part I. Experimental Techniques and Databases (2007) — 380 citations
- Distinct Structures and Dynamics of Chromatosomes with Different Human Linker Histone Isoforms (2020) — 108 citations
- Database resources of the National Center for Biotechnology Information (2011) — 173 citations
- Database resources of the National Center for Biotechnology Information (2010) — 599 citations