Stefan Mordalski

Molecular Biology · 2014–2020

A researcher in the Science corpus: 7 papers; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Molecular Biology — 134 citations into it; #15,215 of 17,773 by trust here, #6,283 by citations
• Cellular and Molecular Neuroscience — 71 citations into it; #2,465 of 2,998 by trust here, #838 by citations
• Computational Theory and Mathematics — 48 citations into it
• Pharmacology — 24 citations into it
• Computational Chemistry & Drug Discovery — 15 citations into it
• Computational Biology & Bioinformatics — 9 citations into it

Whom Stefan Mordalski trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. John J. Irwin
2. Vignir Ísberg
3. Andrej Sali
4. Brian K. Shoichet
5. G. Vriend
6. Niu Huang
7. Christian Munk
8. Anna Gaulton
9. Tunca Dogan
10. Mark A. Hall

Who trusts Stefan Mordalski overall

1. Gáspár Pándy-Szekeres
2. Albert J. Kooistra

Papers from Stefan Mordalski's perspective

Ordered by how strongly the researchers Stefan Mordalski trusts endorse each paper. Same corpus, a different order for every researcher.

1. How many drug targets are there?
2. The ChEMBL bioactivity database: an update
3. The G-protein-coupled receptors in the human genome form five main families. Phylogenetic analysis, paralogon groups, and fingerprints.
4. Crystal structure of opsin in its G-protein-interacting conformation (Nature)
5. Structure-Function of the G-protein-Coupled Receptor Superfamily (Annual Review of Pharmacology and Toxicology)
6. Crystal Structure of the β2Adrenergic Receptor-Gs protein complex (Nature)
7. 5-HT2C Receptor Structures Reveal the Structural Basis of GPCR Polypharmacology
8. SIFTS: Structure Integration with Function, Taxonomy and Sequences resource
9. Generic GPCR Residue Numbers - Aligning Topology Maps Minding The Gaps
10. The RCSB Protein Data Bank: views of structural biology for basic and applied research and education (Nucleic Acids Res.)

Their papers

• Emulating Docking Results Using a Deep Neural Network: A New Perspective for Virtual Screening (2020) — 26 citations
• Generic GPCR Residue Numbers - Aligning Topology Maps Minding The Gaps (2014) — 453 citations
• GPCRdb in 2021: integrating GPCR sequence, structure and function (2020) — 298 citations
• GPCRdb in 2018: adding GPCR structure models and ligands (2017) — 500 citations
• GPCRdb: an information system for G protein-coupled receptors (2015) — 377 citations
• GPCRdb: the G protein‐coupled receptor database – an introduction (2016) — 195 citations
• Multiple conformational states in retrospective virtual screening – homology models vs. crystal structures: beta-2 adrenergic receptor case study (2015) — 13 citations