Gáspár Pándy-Szekeres
Molecular Biology · 2017–2022
A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 77 citations into it
- Cellular and Molecular Neuroscience — 35 citations into it
- Computational Biology & Bioinformatics — 9 citations into it
- Structural Biology — 7 citations into it
- Surfaces, Coatings and Films — 6 citations into it
Whom Gáspár Pándy-Szekeres trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Christian Munk
- Vignir Ísberg
- Alexander Sebastian Hauser
- David E. Gloriam
- Anna Gaulton
- Kasper Harpsøe
- Albert J. Kooistra
- Stefan Mordalski
- Sunghwan Kim
- Tunca Dogan
Who trusts Gáspár Pándy-Szekeres overall
Papers from Gáspár Pándy-Szekeres's perspective
Ordered by how strongly the researchers Gáspár Pándy-Szekeres trusts endorse each paper. Same corpus, a different order for every researcher.
- The ChEMBL bioactivity database: an update
- Trends in GPCR drug discovery: new agents, targets and indications
- Selectivity determinants of GPCR-G protein binding
- ChEMBL web services: streamlining access to drug discovery data and utilities
- SIFTS: Structure Integration with Function, Taxonomy and Sequences resource
- The Multiplicity of Serotonin Receptors: Uselessly Diverse Molecules or an Embarrassment of Riches?
- 5-HT2C Receptor Structures Reveal the Structural Basis of GPCR Polypharmacology
- The FAIR Guiding Principles for scientific data management and stewardship
- Biopython: freely available Python tools for computational molecular biology and bioinformatics
- PDBe: improved findability of macromolecular structure data in the PDB
Their papers
- GPCRdb in 2021: integrating GPCR sequence, structure and function (2020) — 298 citations
- GPCRdb in 2018: adding GPCR structure models and ligands (2017) — 500 citations
- Structure of the class D GPCR Ste2 dimer coupled to two G proteins (2020) — 70 citations
- GPCRdb in 2023: state-specific structure models using AlphaFold2 and new ligand resources (2022) — 165 citations