Pierangelo Veltri

Molecular Biology · 2010–2014

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Molecular Biology — 50 citations into it; #15,302 of 17,773 by trust here, #9,851 by citations
• Computational Biology & Bioinformatics — 13 citations into it
• Materials Chemistry — 8 citations into it; #9,668 of 11,513 by trust here, #10,540 by citations
• Cell Biology — 5 citations into it
• Computational Theory and Mathematics — 5 citations into it; #11,285 of 12,182 by trust here, #3,218 by citations

Whom Pierangelo Veltri trusts overall

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

1. Natasa Przulj
2. Réka Albert
3. Gianluca Pollastri
4. Igor Jurisica
5. Kevin R. Brown
6. Renzo Angles

Who trusts Pierangelo Veltri overall

1. Jinbo Xu

Papers from Pierangelo Veltri's perspective

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

1. The HUPO PSI's Molecular Interaction format—a community standard for the representation of protein interaction data (Nature Biotechnology)
2. A comprehensive two-hybrid analysis to explore the yeast protein interactome (Proceedings of the National Academy of Sciences of the United States of America)
3. Functional organization of the yeast proteome by systematic analysis of protein complexes (Nature)
4. Cytoscape: a software environment for integrated models of biomolecular interaction networks.
5. A comprehensive analysis of protein–protein interactions in Saccharomyces cerevisiae (Nature)
6. DIP: The Database of Interacting Proteins: 2001 update (Nucleic Acids Res.)
7. Correlated mutations contain information about protein-protein interaction.
8. Correlated mutations and residue contacts in proteins
9. Prediction of protein secondary structure at better than 70% accuracy.
10. Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical features

Their papers

• Toward an accurate prediction of inter-residue distances in proteins using 2D recursive neural networks (2014) — 48 citations
• Protein-to-protein interactions: Technologies, databases, and algorithms (2010) — 574 citations