Michael Kuhn
Molecular Biology · 2006–2018
A researcher in the Science corpus: 22 papers; trusts 25 researchers and is trusted by 34 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 373 citations into it; #1,665 of 17,773 by trust here, #593 by citations
- Computational Theory and Mathematics — 94 citations into it; #2,124 of 12,182 by trust here, #185 by citations
- Pharmacology — 51 citations into it; #70 of 1,112 by trust here, #42 by citations
- Computational Biology & Bioinformatics — 50 citations into it
- Computational Chemistry & Drug Discovery — 24 citations into it; #348 of 425 by trust here, #266 by citations
- Cellular and Molecular Neuroscience — 6 citations into it
Whom Michael Kuhn trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Lars Juhl Jensen
- Monica Campillos
- Minoru Kanehisa
- Peer Bork
- Christoph Steinbeck
- Ivica Letunic
- Bryan L. Roth
- C. von Mering
- Craig Knox
- David S. Wishart
Who trusts Michael Kuhn overall
- Damian Szklarczyk
- Miquel Duran-Frigola
- Hui Huang
- Lars Juhl Jensen
- Maryam Bagherian
- Ivica Letunic
- Peer Bork
- Abeed Sarker
- Ping Zhang
- Luca Pinzi
Papers from Michael Kuhn's perspective
Ordered by how strongly the researchers Michael Kuhn trusts endorse each paper. Same corpus, a different order for every researcher.
- From genomics to chemical genomics: new developments in KEGG (Nucleic Acids Res.)
- The Pfam protein families database
- Basic local alignment search tool.
- The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases
- DrugBank: a knowledgebase for drugs, drug actions and drug targets
- PubChem: a public information system for analyzing bioactivities of small molecules
- Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
- The Protein Data Bank.
- DrugBank 3.0: a comprehensive resource for ‘Omics’ research on drugs
- DrugBank 4.0: shedding new light on drug metabolism
Their papers
- STRING v10: protein–protein interaction networks, integrated over the tree of life (2014) — 9,777 citations
- The STRING database in 2017: quality-controlled protein–protein association networks, made broadly accessible (2016) — 6,517 citations
- eggNOG v4.0: nested orthology inference across 3686 organisms (2013) — 618 citations
- eggNOG: automated construction and annotation of orthologous groups of genes (2007) — 560 citations
- The STRING database in 2011: functional interaction networks of proteins, globally integrated and scored (2010) — 3,517 citations
- A side effect resource to capture phenotypic effects of drugs (2010) — 907 citations
- SuperTarget and Matador: resources for exploring drug-target relationships (2007) — 608 citations
- The SIDER database of drugs and side effects (2015) — 1,347 citations
- STRING 8—a global view on proteins and their functional interactions in 630 organisms (2008) — 2,563 citations
- Reflect: augmented browsing for the life scientist (2009) — 106 citations
- STRING v9.1: protein-protein interaction networks, with increased coverage and integration (2012) — 4,385 citations
- Drug Target Identification Using Side-Effect Similarity (2008) — 1,189 citations
- eggNOG 4.5: a hierarchical orthology framework with improved functional annotations for eukaryotic, prokaryotic and viral sequences (2015) — 1,948 citations
- STRING 7—recent developments in the integration and prediction of protein interactions (2006) — 715 citations
- STITCH 4: integration of protein–chemical interactions with user data (2013) — 457 citations
- eggNOG v3.0: orthologous groups covering 1133 organisms at 41 different taxonomic ranges (2011) — 537 citations
- Prediction of Drug Combinations by Integrating Molecular and Pharmacological Data (2011) — 195 citations
- STITCH: interaction networks of chemicals and proteins (2007) — 937 citations
- STITCH 3: zooming in on protein–chemical interactions (2011) — 303 citations
- The UCSC Genome Browser database: 2017 update (2016) — 333 citations