| PLIP: fully automated protein–ligand interaction profiler S Salentin, S Schreiber, VJ Haupt, MF Adasme, M Schroeder Nucleic acids research 43 (W1), W443-W447, 2015 | 1761 | 2015 |
| PLIP 2021: Expanding the scope of the protein–ligand interaction profiler to DNA and RNA MF Adasme, KL Linnemann, SN Bolz, F Kaiser, S Salentin, VJ Haupt, ... Nucleic acids research 49 (W1), W530-W534, 2021 | 924 | 2021 |
| GoPubMed: exploring PubMed with the gene ontology A Doms, M Schroeder Nucleic acids research 33 (suppl_2), W783-W786, 2005 | 694 | 2005 |
| An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition G Tsatsaronis, G Balikas, P Malakasiotis, I Partalas, M Zschunke, ... BMC bioinformatics 16, 1-28, 2015 | 602 | 2015 |
| LIGSITE csc : predicting ligand binding sites using the Connolly surface and degree of conservation B Huang, M Schroeder BMC structural biology 6, 1-11, 2006 | 576 | 2006 |
| A novel informatics concept for high-throughput shotgun lipidomics based on the molecular fragmentation query language R Herzog, D Schwudke, K Schuhmann, JL Sampaio, SR Bornstein, ... Genome biology 12, 1-25, 2011 | 399 | 2011 |
| LipidXplorer: a software for consensual cross-platform lipidomics R Herzog, K Schuhmann, D Schwudke, JL Sampaio, SR Bornstein, ... PloS one 7 (1), e29851, 2012 | 396 | 2012 |
| Identification of cavities on protein surface using multiple computational approaches for drug binding site prediction Z Zhang, Y Li, B Lin, M Schroeder, B Huang Bioinformatics 27 (15), 2083-2088, 2011 | 359 | 2011 |
| A roadmap of clustering algorithms: finding a match for a biomedical application B Andreopoulos, A An, X Wang, M Schroeder Briefings in bioinformatics 10 (3), 297-314, 2009 | 329 | 2009 |
| SuperCYP: a comprehensive database on Cytochrome P450 enzymes including a tool for analysis of CYP-drug interactions S Preissner, K Kroll, M Dunkel, C Senger, G Goldsobel, D Kuzman, ... Nucleic acids research 38 (suppl_1), D237-D243, 2010 | 327 | 2010 |
| Google goes cancer: improving outcome prediction for cancer patients by network-based ranking of marker genes C Winter, G Kristiansen, S Kersting, J Roy, D Aust, T Knösel, P Rümmele, ... PLoS computational biology 8 (5), e1002511, 2012 | 230 | 2012 |
| SCOPPI: a structural classification of protein–protein interfaces C Winter, A Henschel, WK Kim, M Schroeder Nucleic acids research 34 (suppl_1), D310-D314, 2006 | 210 | 2006 |
| Negotiation in multi-agent systems M Beer, M d'Inverno, M Luck, N Jennings, C Preist, M Schroeder The Knowledge Engineering Review 14 (3), 285-289, 1999 | 206 | 1999 |
| Unraveling protein networks with power graph analysis L Royer, M Reimann, B Andreopoulos, M Schroeder PLoS computational biology 4 (7), e1000108, 2008 | 179 | 2008 |
| Drug promiscuity in PDB: protein binding site similarity is key VJ Haupt, S Daminelli, M Schroeder PLoS one 8 (6), e65894, 2013 | 176 | 2013 |
| Old friends in new guise: repositioning of known drugs with structural bioinformatics VJ Haupt, M Schroeder Briefings in bioinformatics 12 (4), 312-326, 2011 | 170 | 2011 |
| Market-based Resource Allocation for Grid Computing: A Model and Simulation. J Gomoluch, M Schroeder Middleware Workshops, 211-218, 2003 | 161 | 2003 |
| Inter-species normalization of gene mentions with GNAT J Hakenberg, C Plake, R Leaman, M Schroeder, G Gonzalez Bioinformatics 24 (16), i126-i132, 2008 | 155 | 2008 |
| Agents in bioinformatics, computational and systems biology E Merelli, G Armano, N Cannata, F Corradini, M d'Inverno, A Doms, ... Briefings in bioinformatics 8 (1), 45-59, 2007 | 151 | 2007 |
| Polypharmacology rescored: Protein–ligand interaction profiles for remote binding site similarity assessment S Salentin, VJ Haupt, S Daminelli, M Schroeder Progress in biophysics and molecular biology 116 (2-3), 174-186, 2014 | 143 | 2014 |
Joachim HauptTU Dresden在 biotec.tu-dresden.de 的电子邮件经过验证
