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Molecular Mechanism-Based Network-like Similarity Graphs Reveal Relationships between Different Types of Receptor Ligands and Structural Changes that Determine Agonistic, Inverse-Agonistic, and Antagonistic Effects
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/spe.4380211102openalex-snapshot
Graph drawing by force‐directed placement
inferredcites →https://doi.org/10.1016/j.bcp.2006.09.005openalex-snapshot
“Phenotypic” pharmacology: The influence of cellular environment on G protein-coupled receptor antagonist and inverse agonist pharmacology
inferredcites →https://doi.org/10.1016/j.biopha.2005.01.010openalex-snapshot
Mechanistic explanation for the unique pharmacologic properties of receptor partial agonists
inferredcites →https://doi.org/10.1016/j.ejphar.2006.09.032openalex-snapshot
Inverse agonism or neutral antagonism at G-protein coupled receptors: A medicinal chemistry challenge worth pursuing?
inferredcites →https://doi.org/10.1016/j.tips.2004.02.012openalex-snapshot
Principles: Receptor theory in pharmacology
inferredcites →https://doi.org/10.1021/ci900416aopenalex-snapshot
SARANEA: A Freely Available Program To Mine Structure−Activity and Structure−Selectivity Relationship Information in Compound Data Sets
inferredcites →https://doi.org/10.1021/jm100933wopenalex-snapshot
Activity Landscape Representations for Structure−Activity Relationship Analysis
inferredcites →https://doi.org/10.1021/jm800867gopenalex-snapshot
Structure−Activity Relationship Anatomy by Network-like Similarity Graphs and Local Structure−Activity Relationship Indices
inferredcites →https://doi.org/10.1038/nature08144openalex-snapshot
The structure and function of G-protein-coupled receptors
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/9781118618110.ch16openalex-snapshot
Structure–Activity Relationship Data Analysis: Activity Landscapes and Activity Cliffs
inferred← citeshttps://doi.org/10.1002/9781118742785.ch10openalex-snapshot
EXPLORATION OF STRUCTURE–ACTIVITY RELATIONSHIPS (SARs) AND TRANSFER OF KEY ELEMENTS IN LEAD OPTIMIZATION
inferred← citeshttps://doi.org/10.1002/9783527694365.ch6openalex-snapshot
Exploring the Role of Small Molecules in Biological Systems Using Network Approaches
inferred← citeshttps://doi.org/10.1002/wcms.1087openalex-snapshot
Exploring structure–activity data using the landscape paradigm
inferred← citeshttps://doi.org/10.1016/bs.mie.2018.09.022openalex-snapshot
Hit-to-Lead: Hit Validation and Assessment
inferred← citeshttps://doi.org/10.1016/j.drudis.2012.06.010openalex-snapshot
Subtleties in GPCR drug discovery: a medicinal chemistry perspective
inferred← citeshttps://doi.org/10.1016/j.pharmthera.2013.01.016openalex-snapshot
Structure and dynamics of molecular networks: A novel paradigm of drug discovery
inferred← citeshttps://doi.org/10.1021/jm201328eopenalex-snapshot
Latent Hit Series Hidden in High-Throughput Screening Data
inferred← citeshttps://doi.org/10.1021/jm201706bopenalex-snapshot
Exploring Activity Cliffs in Medicinal Chemistry
inferred← citeshttps://doi.org/10.1021/jm301240topenalex-snapshot
Chemical Subtleties in Small-Molecule Modulation of Peptide Receptor Function: The Case of CXCR3 Biaryl-Type Ligands
inferred← citeshttps://doi.org/10.1039/c2md00281gopenalex-snapshot
Mechanism-based bipartite matching molecular series graphs to identify structural modifications of receptor ligands that lead to mechanism hopping
inferred← citeshttps://doi.org/10.1080/17460441.2018.1465926openalex-snapshot
Progress with modeling activity landscapes in drug discovery
inferred← citeshttps://doi.org/10.1186/s13321-021-00526-yopenalex-snapshot
“Molecular Anatomy”: a new multi-dimensional hierarchical scaffold analysis tool
inferred← citeshttps://doi.org/10.1517/17460441.2012.679616openalex-snapshot
Modeling of activity landscapes for drug discovery
inferred← citeshttps://doi.org/10.26434/chemrxiv-2021-czl9popenalex-snapshot
Ensemble learning-based quantitative structure-activity relationship platform predicts binding behavior of RNA-targeted small molecules
inferred← citeshttps://doi.org/10.6084/m9.figshare.15047880openalex-snapshot
Additional file 1 of “Molecular Anatomy”: a new multi-dimensional hierarchical scaffold analysis tool
inferred← citeshttps://doi.org/10.70675/2b63c353z8184z4bbbzbfbcz9ce124edd263openalex-snapshot
New methods of multiscale chemical space analysis : visualization of structure-activity relationships and structural pattern extraction
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