Antonina Andreeva

Molecular Biology · 2004–2022

A researcher in the Science corpus: 7 papers; trusts 20 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 59 citations into it; #4,153 of 17,773 by trust here, #3,681 by citations
• Computational Biology & Bioinformatics — 37 citations into it; #295 of 660 by trust here, #286 by citations
• Materials Chemistry — 31 citations into it; #6,211 of 11,513 by trust here, #5,499 by citations
• Spectroscopy — 11 citations into it; #1,443 of 1,674 by trust here, #544 by citations

Whom Antonina Andreeva trusts overall

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

1. John-Marc Chandonia
2. Steven E. Brenner
3. Alexey G. Murzin
4. Loredana Lo Conte
5. Tim J. P. Hubbard
6. Yuzhen Ye
7. Naomi Fox
8. Robert D. Finn
9. Gary Chung Hon
10. Cyrus Chothia

Who trusts Antonina Andreeva overall

1. Ben M. Webb
2. John-Marc Chandonia
3. Narayanan Eswar
4. Naomi Fox
5. Liisa Holm
6. Andrej Sali
7. Sheng Wang
8. R. D. Schaeffer
9. Steven E. Brenner
10. Johannes Söding

Papers from Antonina Andreeva's perspective

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

1. The Protein Data Bank.
2. SCOP: a structural classification of proteins database for the investigation of sequences and structures.
3. The Pfam protein families database
4. Data growth and its impact on the SCOP database: new developments
5. SCOP database in 2002: refinements accommodate structural genomics
6. Assignment of homology to genome sequences using a library of hidden Markov models that represent all proteins of known structure.
7. Pfam: clans, web tools and services
8. The Impact of Structural Genomics: Expectations and Outcomes (Science)
9. SCOP2 prototype: a new approach to protein structure mining
10. SCOPe: Structural Classification of Proteins—extended, integrating SCOP and ASTRAL data and classification of new structures

Their papers

• SCOP database in 2004: refinements integrate structure and sequence family data (2004) — 976 citations
• Data growth and its impact on the SCOP database: new developments (2007) — 975 citations
• SCOP2 prototype: a new approach to protein structure mining (2013) — 303 citations
• Genome3D: exploiting structure to help users understand their sequences (2014) — 47 citations
• The SCOP database in 2020: expanded classification of representative family and superfamily domains of known protein structures (2019) — 318 citations
• SISYPHUS—structural alignments for proteins with non-trivial relationships (2006) — 82 citations
• Structural validation and assessment of AlphaFold2 predictions for centrosomal and centriolar proteins and their complexes (2022) — 50 citations