2004 - ACM Fellow For contributions to distributed computing systems, security, and networking.
Michael Schroeder mainly focuses on Bioinformatics, Protein structure, Computational biology, Information retrieval and Genetics. His Bioinformatics research is multidisciplinary, relying on both Plasma protein binding, Web service, Data mining, Source code and Software. His Protein structure research is multidisciplinary, incorporating perspectives in Protein domain, Database, Sequence alignment and Binding site.
His studies in Computational biology integrate themes in fields like Lipidome, Shotgun, Drug repositioning, DNA microarray and Drug discovery. His study in the field of Search engine indexing and Ontology also crosses realms of Mass spectrum. His Ontology study combines topics from a wide range of disciplines, such as Controlled vocabulary and Gene ontology.
His primary areas of study are Computational biology, Information retrieval, Ontology, Artificial intelligence and World Wide Web. The Computational biology study combines topics in areas such as Genetics, Protein–protein interaction, Drug repositioning, DNA microarray and Protein structure. His research in Protein structure intersects with topics in Binding site and Sequence alignment.
His research combines Text mining and Information retrieval. His Ontology research incorporates themes from Ontology and Controlled vocabulary. His Artificial intelligence study incorporates themes from Machine learning and Natural language processing.
Michael Schroeder focuses on Computational biology, Drug repositioning, Drug, Protein structure and Amino acid. Michael Schroeder carries out multidisciplinary research, doing studies in Computational biology and Network analysis. His study in Drug repositioning is interdisciplinary in nature, drawing from both Cancer research, Chagas disease and Drug discovery.
His work on Drug development as part of general Drug study is frequently linked to Structure based, therefore connecting diverse disciplines of science. His work on Protein Data Bank as part of general Protein structure research is frequently linked to Glycan, thereby connecting diverse disciplines of science. He studied Amino acid and Sequence that intersect with Stereochemistry and Sequence alignment.
Michael Schroeder spends much of his time researching Drug repositioning, Protein structure, Drug, Computational biology and Binding site. He interconnects Amino acid, Function, Protein biosynthesis, Structural motif and Stereochemistry in the investigation of issues within Protein structure. His Drug research includes themes of Chagas disease and Neglected Disease.
Michael Schroeder works on Computational biology which deals in particular with Systems biology. His Binding site research is multidisciplinary, incorporating elements of Structure–activity relationship, Protein Data Bank and Enzyme. His Pharmacology study deals with Heat shock protein intersecting with Drug resistance.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
PLIP: fully automated protein–ligand interaction profiler
Sebastian Salentin;Sven Schreiber;V. Joachim Haupt;Melissa F. Adasme.
Nucleic Acids Research (2015)
GoPubMed : exploring pubMed with the Gene Ontology
Andreas Doms;Michael Schroeder.
Nucleic Acids Research (2005)
LIGSITEcsc: predicting ligand binding sites using the Connolly surface and degree of conservation
Bingding Huang;Michael Schroeder.
BMC Structural Biology (2006)
An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition
George Tsatsaronis;Georgios Balikas;Prodromos Malakasiotis;Ioannis Partalas.
BMC Bioinformatics (2015)
SuperCYP: a comprehensive database on Cytochrome P450 enzymes including a tool for analysis of CYP-drug interactions
Saskia Preissner;Katharina Kroll;Mathias Dunkel;Christian Senger.
Nucleic Acids Research (2010)
Identification of cavities on protein surface using multiple computational approaches for drug binding site prediction
Zengming Zhang;Yu Li;Biaoyang Lin;Michael Schroeder.
A novel informatics concept for high-throughput shotgun lipidomics based on the molecular fragmentation query language
Ronny Herzog;Ronny Herzog;Dominik Schwudke;Dominik Schwudke;Kai Schuhmann;Kai Schuhmann;Julio L Sampaio.
Genome Biology (2011)
A roadmap of clustering algorithms: finding a match for a biomedical application
Bill Andreopoulos;Aijun An;Xiaogang Wang;Michael Schroeder.
Briefings in Bioinformatics (2008)
LipidXplorer: a software for consensual cross-platform lipidomics.
Ronny Herzog;Kai Schuhmann;Dominik Schwudke;Julio L. Sampaio.
PLOS ONE (2012)
SCOPPI: a structural classification of protein–protein interfaces
Christof Winter;Andreas Henschel;Wan Kyu Kim;Michael Schroeder.
Nucleic Acids Research (2006)
Profile was last updated on December 6th, 2021.
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