Marco Necci

Molecular Biology · 2016–2020

A researcher in the Science corpus: 10 papers; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 184 citations into it; #10,663 of 17,773 by trust here, #4,339 by citations
• Materials Chemistry — 56 citations into it; #10,634 of 11,513 by trust here, #6,536 by citations

Whom Marco Necci trusts overall

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

1. Rune Linding
2. Peter Tompa
3. Bohdan Monastyrskyy
4. Erik L. L. Sonnhammer
5. Damiano Piovesan
6. Robert B. Russell
7. Zsuzsanna Dosztányi
8. Andriy Kryshtafovych
9. Ian Walsh
10. Vladimir N Uversky

Who trusts Marco Necci overall

1. Zsuzsanna Dosztányi
2. Bálint Mészáros
3. Jack Hanson
4. Gábor Erdös
5. Damiano Piovesan
6. Kuldip K. Paliwal

Papers from Marco Necci's perspective

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

1. Protein data bank
2. Prediction and functional analysis of native disorder in proteins from the three kingdoms of life.
3. Intrinsically Disordered Proteins in Cellular Signaling and Regulation
4. DisProt: the Database of Disordered Proteins (Nucleic Acids Res.)
5. The importance of intrinsic disorder for protein phosphorylation. (Nucleic Acids Research)
6. PrDOS: prediction of disordered protein regions from amino acid sequence (Nucleic Acids Res.)
7. SIFTS: Structure Integration with Function, Taxonomy and Sequences resource
8. Data growth and its impact on the SCOP database: new developments
9. MetaDisorder: a meta-server for the prediction of intrinsic disorder in proteins
10. MobiDB 2.0: an improved database of intrinsically disordered and mobile proteins

Their papers

• 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
• MobiDB 3.0: more annotations for intrinsic disorder, conformational diversity and interactions in proteins (2017) — 194 citations
• DisProt 7.0: a major update of the database of disordered proteins (2016) — 138 citations
• MobiDB‐lite: fast and highly specific consensus prediction of intrinsic disorder in proteins (2017) — 178 citations
• A comprehensive assessment of long intrinsic protein disorder from the DisProt database (2018) — 60 citations
• The InterPro protein families and domains database: 20 years on (2020) — 1,852 citations
• DisProt 7.0: a major update of the database of disordered proteins (2016) — 203 citations
• Critical assessment of protein intrinsic disorder prediction (2020) — 286 citations
• MobiDB-lite: fast and highly specific consensus prediction of intrinsic disorder in proteins. (2017) — 36 citations