Christine A. Orengo

Molecular Biology · 1997–2022

A researcher in the Science corpus: 29 papers; trusts 23 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 379 citations into it; #4,173 of 17,773 by trust here, #819 by citations
• Computational Biology & Bioinformatics — 118 citations into it; #412 of 660 by trust here, #150 by citations
• Spectroscopy — 76 citations into it
• Materials Chemistry — 73 citations into it; #4,985 of 11,513 by trust here, #2,742 by citations
• Evaluation & Benchmarks — 23 citations into it
• Biochemistry — 8 citations into it
• Pharmacology — 7 citations into it

Whom Christine A. Orengo trusts overall

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

1. Amos Bairoch
2. Liisa Holm
3. Christopher Sander
4. Alexey G. Murzin
5. Damien P. Devos
6. Rolf Apweiler
7. Richard R. Copley
8. William S. J. Valdar
9. Robert C. Edgar
10. Cyrus Chothia

Who trusts Christine A. Orengo overall

1. Hua Cheng
2. David C. Jones
3. Julian Gough
4. Taeho C. Jo
5. Pawel Daniluk
6. Yang Zhang
7. John-Marc Chandonia
8. Oliver Redfern
9. Bernard O. Offmann
10. Rachel Kolodny

Papers from Christine A. Orengo's perspective

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

1. The Pfam protein families database
2. Pfam: clans, web tools and services
3. The SWISS-PROT protein sequence data bank and its supplement TrEMBL
4. Basic local alignment search tool.
5. Protein structure comparison by alignment of distance matrices.
6. SCOP: a structural classification of proteins database for the investigation of sequences and structures.
7. The Protein Data Bank: a computer-based archival file for macromolecular structures.
8. Assignment of homology to genome sequences using a library of hidden Markov models that represent all proteins of known structure.
9. Hidden Markov models for detecting remote protein homologies
10. SCOP database in 2004: refinements integrate structure and sequence family data

Their papers

• Outcome of a workshop on archiving structural models of biological macromolecules. (2006) — 64 citations
• A large-scale evaluation of computational protein function prediction (2013) — 1,002 citations
• InterPro: the integrative protein signature database (2008) — 2,089 citations
• Evolution of function in protein superfamilies, from a structural perspective. (2001) — 727 citations
• CATH: an expanded resource to predict protein function through structure and sequence (2016) — 377 citations
• Extending CATH: increasing coverage of the protein structure universe and linking structure with function (2010) — 137 citations
• The InterPro protein families database: the classification resource after 15 years (2014) — 1,300 citations
• Structural genomics is the largest contributor of novel structural leverage (2009) — 74 citations
• The CATH domain structure database: new protocols and classification levels give a more comprehensive resource for exploring evolution (2006) — 300 citations
• InterPro in 2011: new developments in the family and domain prediction database (2011) — 1,139 citations
• InterPro in 2017—beyond protein family and domain annotations (2016) — 1,390 citations
• InterPro in 2019: improving coverage, classification and access to protein sequence annotations (2018) — 1,309 citations
• New developments in the InterPro database (2007) — 542 citations
• One fold with many functions: the evolutionary relationships between TIM barrel families based on their sequences, structures and functions. (2002) — 625 citations
• CATHEDRAL: A Fast and Effective Algorithm to Predict Folds and Domain Boundaries from Multidomain Protein Structures (2007) — 113 citations
• Predicting protein function from sequence and structure (2007) — 598 citations
• Genome3D: exploiting structure to help users understand their sequences (2014) — 47 citations
• Gene3D: expanding the utility of domain assignments (2015) — 68 citations
• Gene3D: a domain-based resource for comparative genomics, functional annotation and protein network analysis (2011) — 114 citations
• Review: what can structural classifications reveal about protein evolution? (2001) — 50 citations