Grid-Enabled High Throughput Virtual Screening. - Nicolas Jacq; Vincent Breton; Hsin-Yen Chen; Li-Yung Ho; Martin Hofmann 009; Hurng-Chun Lee; Yannick Legré; Simon C. Lin; Astrid Maaß; Emmanuel Medernach; Ivan Merelli; Luciano Milanesi; et al. (GCCB, 2006)

Demonstration of In Silico Docking at a Large Scale on Grid Infrastructure. - Nicolas Jacq; Jean Salzemann; Yannick Legré; Matthieu Reichstadt; Florence Jacq; Marc Zimmermann 001; Astrid Maaß; Mahendrakar Sridhar; Kasam Vinod-Kusam; Horst Schwichtenberg; Martin Hofmann 009; Vincent Breton (HealthGrid, 2006)

Large Scale In Silico Screening on Grid Infrastructures - Nicolas Jacq; Vincent Breton; Hsin-Yen Chen; Li-Yung Ho; Martin Hofmann 009; Hurng-Chun Lee; Yannick Legré; Simon C. Lin; Astrid Maaß; Emmanuel Medernach; Ivan Merelli; Luciano Milanesi; et al. (CoRR, 2006)

Integration and mining of malaria molecular, functional and pharmacological data: how far are we from a chemogenomic knowledge space? - L.-M. Birkholtz; Olivier Bastien; Gordon Wells; D. Grando; F. Joubert; Vinod Kasam; Marc Zimmermann 001; Philippe Ortet; Nicolas Jacq; Sylvaine Roy; Martin Hofmann-Apitius; Vincent Breton; et al. (CoRR, 2006)

Automatic Recognition of Chemical Images. - María-Elena Algorri; Marc Zimmermann 001; Martin Hofmann-Apitius (ENC, 2007)

Identification of new drug classification terms in textual resources. - Corinna Kolárik; Martin Hofmann-Apitius; Marc Zimmermann 001; Juliane Fluck (ISMB/ECCB (Supplement of Bioinformatics), 2007)

Design of New Plasmepsin Inhibitors: A Virtual High Throughput Screening Approach on the EGEE Grid. - Vinod Kasam; Marc Zimmermann 001; Astrid Maaß; Horst Schwichtenberg; Antje Wolf; Nicolas Jacq; Vincent Breton; Martin Hofmann-Apitius (J. Chem. Inf. Model., 2007)

Alternative to Consensus ScoringA New Approach Toward the Qualitative Combination of Docking Algorithms. - Antje Wolf; Marc Zimmermann 001; Martin Hofmann-Apitius (J. Chem. Inf. Model., 2007)

Virtual High Throughput Screening (vHTS) on an Optical High Speed Testbed. - Mohammad Shahid; Wolfgang Ziegler; Vinod Kasam; Marc Zimmermann 001; Martin Hofmann-Apitius (HealthGrid, 2008)

Grid-enabled Virtual Screening Against Malaria. - Nicolas Jacq; Jean Salzemann; Florence Jacq; Yannick Legré; Emmanuel Medernach; Johan Montagnat; Astrid Maaß; Matthieu Reichstadt; Horst Schwichtenberg; Mahendrakar Sridhar; Vinod Kasam; Marc Zimmermann 001; et al. (J. Grid Comput., 2008)

Overview of the TREC 2011 Chemical IR Track. - Mihai Lupu; Jiashu Zhao; Jimmy X. Huang; Harsha Gurulingappa; Juliane Fluck; Marc Zimmermann 001; Igor V. Filippov; John Tait (TREC, 2011)

Large scale chemical patent mining with UIMA and UNICORE. - Alexander Klenner; Sandra Bergmann; Marc Zimmermann 001; Mathilde Romberg (J. Cheminformatics, 2012)

Document Clustering using a Graph Covering with Pseudostable Sets. - Jens Dörpinghaus; Sebastian Schaaf; Juliane Fluck; Marc Jacobs 001 (FedCSIS, 2017)

Automated lung tumor detection and diagnosis in CT Scans using texture feature analysis and SVM. - Tim Adams; Jens Dörpinghaus; Marc Jacobs 001; Volker Steinhage (FedCSIS (Communication Papers), 2018)

What was the Question? A Systematization of Information Retrieval and NLP Problems. - Jens Dörpinghaus; Johannes Darms; Marc Jacobs 001 (FedCSIS, 2018)

SCAIView - A Semantic Search Engine for Biomedical Research Utilizing a Microservice Architecture. - Jens Dörpinghaus; Jürgen Klein; Johannes Darms; Sumit Madan; Marc Jacobs 001 (SEMANTiCS (Posters & Demos), 2018)

Soft document clustering using a novel graph covering approach. - Jens Dörpinghaus; Sebastian Schaaf; Marc Jacobs 001 (BioData Min., 2018)

Semantic Knowledge Graph Embeddings for biomedical Research: Data Integration using Linked Open Data. - Jens Dörpinghaus; Marc Jacobs 001 (SEMANTiCS (Posters & Demos), 2019)

Knowledge Detection and Discovery using Semantic Graph Embeddings on Large Knowledge Graphs generated on Text Mining Results. - Jens Dörpinghaus; Marc Jacobs 001 (FedCSIS, 2020)

Towards context in large scale biomedical knowledge graphs. - Jens Dörpinghaus; Andreas Stefan; Bruce Schultz; Marc Jacobs 001 (CoRR, 2020)

The COVID-19 Ontology. - Astghik Sargsyan; Alpha Tom Kodamullil; Shounak Baksi; Johannes Darms; Sumit Madan; Stephan Gebel; Oliver Keminer; Geena Mariya Jose; Helena Balabin; Lauren Nicole Delong; Manfred Kohler; Marc Jacobs 001; et al. (Bioinform., 2021)

Benchmarking table recognition performance on biomedical literature on neurological disorders. - Tim Adams; Marcin Namysl; Alpha Tom Kodamullil; Sven Behnke; Marc Jacobs 001 (Bioinform., 2022)

Context mining and graph queries on giant biomedical knowledge graphs. - Jens Dörpinghaus; Andreas Stefan; Bruce Schultz; Marc Jacobs 001 (Knowl. Inf. Syst., 2022)

A hybrid approach unveils drug repurposing candidates targeting an Alzheimer pathophysiology mechanism. - Vanessa Lage-Rupprecht; Bruce Schultz; Justus Dick; Marcin Namysl; Andrea Zaliani; Stephan Gebel; Ole Pless; Jeanette Reinshagen; Bernhard Ellinger; Christian Ebeling; Alexander M. Esser; Marc Jacobs 001; et al. (Patterns, 2022)

Common data model for COVID-19 datasets. - Philipp Wegner; Geena Mariya Jose; Vanessa Lage-Rupprecht; Sepehr Golriz Khatami; Bide Zhang; Stephan Springstubbe; Marc Jacobs 001; Thomas Linden; Cindy Ku; Bruce Schultz; Martin Hofmann-Apitius; Alpha Tom Kodamullil (Bioinform., 2022)

Design of the formalized and integrated Alzheimer's Disease Ontology and its application in retrieving textual data via text mining. - Bide Zhang; Vanessa Lage-Rupprecht; Philipp Wegner; Astghik Sargsyan; Stephan Gebel; Marc Jacobs 001; Jürgen Klein; Martin Hofmann-Apitius; Alpha Tom Kodamullil (Database J. Biol. Databases Curation, 2023)

INDEX: the Intelligent Data Steward Toolbox. Utilizing Large Language Model embeddings for automated data harmonization. - Tim Adams; Mohamed Aborageh; Yasamin Salimi; Holger Fröhlich; Marc Jacobs 001 (SWAT4HCLS, 2024)

Curating, Collecting, and Cataloguing Global COVID-19 Datasets for the Aim of Predicting Personalized Risk. - Sepehr Golriz Khatami; Astghik Sargsyan; Maria Francesca Russo; Daniel Domingo-Fernández; Andrea Zaliani; Abish Kaladharan; Priya Sethumadhavan; Sarah Mubeen; Yojana Gadiya; Reagon Karki; Stephan Gebel; Ram Kumar Ruppa Surulinathan; et al. (Data, 2024)

Current state of data stewardship tools in life science. - Anna Aksenova; Anoop Johny; Tim Adams; Philip Gribbon; Marc Jacobs 001; Martin Hofmann-Apitius (Frontiers Big Data, 2024)