Marco Punta
Molecular Biology · 2007–2015
A researcher in the Science corpus: 10 papers; trusts 39 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 184 citations into it; #2,802 of 17,773 by trust here, #819 by citations
- Materials Chemistry — 64 citations into it
- Computational Biology & Bioinformatics — 46 citations into it; #626 of 660 by trust here, #111 by citations
- Spectroscopy — 46 citations into it; #1,498 of 1,674 by trust here, #40 by citations
- Cell Biology — 8 citations into it
Whom Marco Punta trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Burkhard Rost
- Vladimir N Uversky
- Avner Schlessinger
- Christopher Sander
- Stephen F. Altschul
- Sean R. Eddy
- Sven Mika
- Robert D. Finn
- Roman A. Laskowski
- Zsuzsanna Dosztányi
Who trusts Marco Punta overall
- Christian Schaefer
- Zhenling Peng
- Burkhard Rost
- Lukasz Kurgan
- Johannes Söding
- Michael Heinzinger
- Emidio Capriotti
- Michail Yu. Lobanov
- Jüergen Cox
- Xochitl C. Morgan
Papers from Marco Punta's perspective
Ordered by how strongly the researchers Marco Punta 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.
- SCOP: a structural classification of proteins database for the investigation of sequences and structures.
- Protein disorder prediction: implications for structural proteomics.
- Intrinsically unstructured proteins: re-assessing the protein structure-function paradigm.
- The pairwise energy content estimated from amino acid composition discriminates between folded and intrinsically unstructured proteins.
- Intrinsically unstructured proteins. (TIBS -Trends in Biochemical Sciences. Regular ed)
- Pfam: clans, web tools and services
- Prediction and functional analysis of native disorder in proteins from the three kingdoms of life.
- Flavors of protein disorder (Proteins: Structure, Function, and Bioinformatics)
- Predicting intrinsic disorder from amino acid sequence (Proteins: Structure, Function, and Bioinformatics)
Their papers
- The Pfam protein families database (2011) — 6,805 citations
- The Pfam protein families database: towards a more sustainable future (2015) — 5,243 citations
- The InterPro protein families database: the classification resource after 15 years (2014) — 1,300 citations
- Natively unstructured regions in proteins identified from contact predictions (2007) — 125 citations
- InterPro in 2011: new developments in the family and domain prediction database (2011) — 1,139 citations
- Improved Disorder Prediction by Combination of Orthogonal Approaches (2009) — 190 citations
- Genome3D: exploiting structure to help users understand their sequences (2014) — 47 citations
- Pfam: the protein families database (2013) — 1,372 citations
- Challenges in homology search: HMMER3 and convergent evolution of coiled-coil regions (2013) — 1,424 citations
- An estimated 5% of new protein structures solved today represent a new Pfam family (2013) — 13 citations