M. Schroeder
Molecular Biology · Nucleic Acids Res. · 2005–2021
A researcher in the Science corpus: 6 papers; trusts 8 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 49 citations into it; #2,667 of 17,773 by trust here, #7,384 by citations
- Computational Theory and Mathematics — 15 citations into it; #3,120 of 12,182 by trust here, #2,689 by citations
- Materials Chemistry — 9 citations into it
- Computational Biology & Bioinformatics — 5 citations into it
Whom M. Schroeder trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts M. Schroeder overall
- Olivier Bodenreider
- David K. Johnson
- John Karanicolas
- Abdo A. Elfiky
- Daniel B. Roche
- Karen R. Khar
- Jian Yu
- Zhiyong Lu
- John A. Capra
- Zhuguo Li
Papers from M. Schroeder's perspective
Ordered by how strongly the researchers M. Schroeder trusts endorse each paper. Same corpus, a different order for every researcher.
- ConSurf: an algorithmic tool for the identification of functional regions in proteins by surface mapping of phylogenetic information. (Journal of Molecular Biology)
- The PyMOL Molecular Graphics System
- Fast prediction and visualization of protein binding pockets with PASS
- Principles of docking: An overview of search algorithms and a guide to scoring functions
- Textpresso: An Ontology-Based Information Retrieval and Extraction System for Biological Literature
- A new test set for validating predictions of protein–ligand interaction (Proteins: Structure, Function, and Bioinformatics)
- Rate4Site: an algorithmic tool for the identification of functional regions in proteins by surface mapping of evolutionary determinants within their homologues (Intelligent Systems in Molecular Biology)
- CASTp: Computed Atlas of Surface Topography of proteins (Nucleic Acids Res.)
- SwissDock, a protein-small molecule docking web service based on EADock DSS
- Latest developments in molecular docking: 2010–2011 in review (Journal of Molecular Recognition)
Their papers
- LIGSITEcsc: predicting ligand binding sites using the Connolly surface and degree of conservation (2006) — 451 citations
- GoPubMed: exploring PubMed with the Gene Ontology (2005) — 593 citations
- PLIP: fully automated protein–ligand interaction profiler (2015) — 2,042 citations
- An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition (2015) — 831 citations
- Google Goes Cancer: Improving Outcome Prediction for Cancer Patients by Network-Based Ranking of Marker Genes (2012) — 196 citations
- PLIP 2021: expanding the scope of the protein–ligand interaction profiler to DNA and RNA (2021) — 1,705 citations