Kuhn, Michael

STRING v10: protein–protein interaction networks, integrated over the tree of life

Szklarczyk, D., Franceschini, A., Wyder, S., Forslund, K., Heller, D., Huerta-Cepas, J., Simonovic, M., Roth, A., Santos, A., Tsafou, K. P., et al. (2015) · Nucleic Acids Research

Bioinformatics and Genomic NetworksGenomics and Phylogenetic Studies

Cited by 10,436

The STRING database in 2017: quality-controlled protein–protein association networks, made broadly accessible

Szklarczyk, D., Morris, J. H., Cook, H., Kuhn, M., Wyder, S., Simonovic, M., Santos, A., Doncheva, N. T., Roth, A., Bork, P., et al. (2017) · Nucleic Acids Research

Bioinformatics and Genomic NetworksBiomedical Text Mining and Ontologies

Cited by 6,980

STRING v9.1: protein-protein interaction networks, with increased coverage and integration

Franceschini, A., Szklarczyk, D., Frankild, S., Kuhn, M., Simonovic, M., Roth, A., Lin, J., Minguez, P., Bork, P., von Mering, C., et al. (2012) · Nucleic Acids Research

Bioinformatics and Genomic NetworksBiomedical Text Mining and Ontologies

Cited by 4,398

Extensive impact of non-antibiotic drugs on human gut bacteria

Maier, L., Pruteanu, M., Kuhn, M., Zeller, G., Telzerow, A., Anderson, E. E., Brochado, A. R., Fernandez, K. C., Dose, H., Mori, H., et al. (2018) · Nature

Gut microbiota and healthAntibiotic Resistance in Bacteria

Cited by 1,905

The SIDER database of drugs and side effects

Kuhn, M., Letunic, I., Jensen, L. J., & Bork, P. (2016) · Nucleic Acids Research

Pharmacovigilance and Adverse Drug ReactionsBiomedical Text Mining and Ontologies

Cited by 1,451

Drug target identification using side-effect similarity

Campillos, M., Kuhn, M., Gavin, A.-C., Jensen, L. J., & Bork, P. (2008) · Science

Computational Drug Discovery MethodsBioinformatics and Genomic Networks

Cited by 1,248

A side effect resource to capture phenotypic effects of drugs

Kuhn, M., Campillos, M., Letunic, I., Jensen, L. J., & Bork, P. (2010) · Molecular Systems Biology

Pharmacovigilance and Adverse Drug ReactionsBiomedical Text Mining and Ontologies

Cited by 899

eggNOG v4.0: nested orthology inference across 3686 organisms

Powell, S., Forslund, K., Szklarczyk, D., Trachana, K., Roth, A., Huerta-Cepas, J., Gabaldón, T., Rattei, T., Creevey, C., Kuhn, M., et al. (2014) · Nucleic Acids Research

Genomics and Phylogenetic StudiesBioinformatics and Genomic Networks

Cited by 652

SuperTarget and Matador: resources for exploring drug-target relationships

Gunther, S., Kuhn, M., Dunkel, M., Campillos, M., Senger, C., Petsalaki, E., Ahmed, J., Urdiales, E. G., Gewiess, A., Jensen, L. J., et al. (2007) · Nucleic Acids Research

Computational Drug Discovery MethodsBiomedical Text Mining and Ontologies

Cited by 647

eggNOG: automated construction and annotation of orthologous groups of genes

Jensen, L. J., Julien, P., Kuhn, M., von Mering, C., Muller, J., Doerks, T., & Bork, P. (2007) · Nucleic Acids Research

Genomics and Phylogenetic StudiesBioinformatics and Genomic Networks

Cited by 547

Nutritional preferences of human gut bacteria reveal their metabolic idiosyncrasies

Tramontano, M., Andrejev, S., Pruteanu, M., Klünemann, M., Kuhn, M., Galardini, M., Jouhten, P., Zelezniak, A., Zeller, G., Bork, P., et al. (2018) · Nature Microbiology

Gut microbiota and healthMicrobial Metabolic Engineering and Bioproduction

Cited by 295