scholarly article | Q13442814 |
P8978 | DBLP publication ID | journals/jcheminf/MordalskiWSRB15 |
P6179 | Dimensions Publication ID | 1045426152 |
P356 | DOI | 10.1186/S13321-015-0062-X |
P932 | PMC publication ID | 4420846 |
P698 | PubMed publication ID | 25949744 |
P5875 | ResearchGate publication ID | 275230316 |
P50 | author | Sabina Smusz | Q56084692 |
Andrzej Bojarski | Q57198570 | ||
Stefan Mordalski | Q43370869 | ||
P2093 | author name string | Jagna Witek | |
Krzysztof Rataj | |||
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High-resolution crystal structure of an engineered human beta2-adrenergic G protein-coupled receptor | Q24657484 | ||
ZINC--a free database of commercially available compounds for virtual screening | Q27656255 | ||
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Structure-based discovery of beta2-adrenergic receptor ligands | Q33426241 | ||
Molecular and genetic basis of beta2-adrenergic receptor function | Q33714810 | ||
Do crystal structures obviate the need for theoretical models of GPCRs for structure-based virtual screening? | Q34049826 | ||
An overview on GPCRs and drug discovery: structure-based drug design and structural biology on GPCRs | Q34985885 | ||
Structure, function, and regulation of adrenergic receptors | Q36278165 | ||
Molecular mechanisms of beta2-adrenergic receptor function and regulation | Q36305301 | ||
Impact of template choice on homology model efficiency in virtual screening | Q44032359 | ||
An application of machine learning methods to structural interaction fingerprints--a case study of kinase inhibitors. | Q45957982 | ||
P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
P6216 | copyright status | copyrighted | Q50423863 |
P433 | issue | 1 | |
P921 | main subject | crystal structure | Q895901 |
virtual screening | Q4112105 | ||
P304 | page(s) | 13 | |
P577 | publication date | 2015-01-01 | |
P1433 | published in | Journal of Cheminformatics | Q6294930 |
P1476 | title | Multiple conformational states in retrospective virtual screening – homology models vs. crystal structures: beta-2 adrenergic receptor case study | |
P478 | volume | 7 |
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Q112169729 | Computational Modeling of Drugs for Alzheimer’s Disease: Design of Serotonin 5-HT6 Antagonists |
Q99632613 | Emulating Docking Results Using a Deep Neural Network: A New Perspective for Virtual Screening |
Q96225900 | Homology Modeling of the Human P-glycoprotein (ABCB1) and Insights into Ligand Binding through Molecular Docking Studies |
Q35864805 | Inexpensive Method for Selecting Receptor Structures for Virtual Screening. |
Q100542689 | Molecular Modeling of µ Opioid Receptor Ligands with Various Functional Properties: PZM21, SR-17018, Morphine, and Fentanyl-Simulated Interaction Patterns Confronted with Experimental Data |
Q55260255 | Spectrum-Effect Relationships Between the Bioactive Ingredient of Syringa oblata Lindl. Leaves and Its Role in Inhibiting the Biofilm Formation of Streptococcus suis. |
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