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Rationalizing Promiscuity Cliffs
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/3527603743openalex-snapshot
Chemoinformatics in Drug Discovery
inferredcites →https://doi.org/10.1002/cmdc.200900300openalex-snapshot
From Structure–Activity to Structure–Selectivity Relationships: Quantitative Assessment, Selectivity Cliffs, and Key Compounds
inferredcites →https://doi.org/10.1002/cmdc.201500340openalex-snapshot
Systematic Assessment of Molecular Selectivity at the Level of Targets, Bioactive Compounds, and Structural Analogues
inferredcites →https://doi.org/10.1016/j.drudis.2006.05.014openalex-snapshot
Screening in a spirit haunted world
inferredcites →https://doi.org/10.1016/j.drudis.2013.03.002openalex-snapshot
Compound promiscuity: what can we learn from current data?
inferredcites →https://doi.org/10.1021/cb1002976openalex-snapshot
Small Molecule Probes of Cellular Pathways and Networks
inferredcites →https://doi.org/10.1021/ci060117sopenalex-snapshot
On Outliers and Activity CliffsWhy QSAR Often Disappoints
inferredcites →https://doi.org/10.1021/ci3001138openalex-snapshot
MMP-Cliffs: Systematic Identification of Activity Cliffs on the Basis of Matched Molecular Pairs
inferredcites →https://doi.org/10.1021/ci900450mopenalex-snapshot
Computationally Efficient Algorithm to Identify Matched Molecular Pairs (MMPs) in Large Data Sets
inferredcites →https://doi.org/10.1021/jm201706bopenalex-snapshot
Exploring Activity Cliffs in Medicinal Chemistry
inferredcites →https://doi.org/10.1021/jm301292aopenalex-snapshot
Matched Molecular Pair Analysis of Small Molecule Microarray Data Identifies Promiscuity Cliffs and Reveals Molecular Origins of Extreme Compound Promiscuity
inferredcites →https://doi.org/10.1021/jm401120gopenalex-snapshot
Recent Progress in Understanding Activity Cliffs and Their Utility in Medicinal Chemistry
inferredcites →https://doi.org/10.1021/jm5006463openalex-snapshot
Polypharmacology: Challenges and Opportunities in Drug Discovery
inferredcites →https://doi.org/10.1038/513481aopenalex-snapshot
Chemistry: Chemical con artists foil drug discovery
inferredcites →https://doi.org/10.1038/nbt1228openalex-snapshot
Global mapping of pharmacological space
inferredcites →https://doi.org/10.1038/nrd.2017.111openalex-snapshot
Opportunities and challenges in phenotypic drug discovery: an industry perspective
inferredcites →https://doi.org/10.1039/c3md00105aopenalex-snapshot
Promiscuity profiles of bioactive compounds: potency range and difference distributions and the relation to target numbers and families
inferredcites →https://doi.org/10.1039/c6ra27247aopenalex-snapshot
Identification and analysis of promiscuity cliffs formed by bioactive compounds and experimental implications
inferredcites →https://doi.org/10.1208/s12248-017-0066-8openalex-snapshot
Structure-Promiscuity Relationship Puzzles—Extensively Assayed Analogs with Large Differences in Target Annotations
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-04998-9_14openalex-snapshot
Polypharmacology in Predicting Drug Toxicity: Drug Promiscuity
inferred← citeshttps://doi.org/10.1007/s10822-019-00198-9openalex-snapshot
Systematic computational identification of promiscuity cliff pathways formed by inhibitors of the human kinome
inferred← citeshttps://doi.org/10.1007/s10822-019-00266-0openalex-snapshot
Data structures for computational compound promiscuity analysis and exemplary applications to inhibitors of the human kinome
inferred← citeshttps://doi.org/10.1007/s10822-020-00315-zopenalex-snapshot
Advances in exploring activity cliffs
inferred← citeshttps://doi.org/10.1016/j.bmc.2019.115238openalex-snapshot
Exploring structure-promiscuity relationships using dual-site promiscuity cliffs and corresponding single-site analogs
inferred← citeshttps://doi.org/10.1021/acs.jmedchem.8b00929openalex-snapshot
Optimization of N-Substituted Oseltamivir Derivatives as Potent Inhibitors of Group-1 and -2 Influenza A Neuraminidases, Including a Drug-Resistant Variant
inferred← citeshttps://doi.org/10.1021/acsomega.3c07920openalex-snapshot
Cheminformatics Analysis of the Multitarget Structure–Activity Landscape of Environmental Chemicals Binding to Human Endocrine Receptors
inferred← citeshttps://doi.org/10.1021/acsomega.8b02998openalex-snapshot
Computational Analysis of Kinase Inhibitors Identifies Promiscuity Cliffs across the Human Kinome
inferred← citeshttps://doi.org/10.1021/acsomega.9b00492openalex-snapshot
Prediction of Different Classes of Promiscuous and Nonpromiscuous Compounds Using Machine Learning and Nearest Neighbor Analysis
inferred← citeshttps://doi.org/10.1080/13543776.2018.1438410openalex-snapshot
Current insights into anti-HIV drug discovery and development: a review of recent patent literature (2014–2017)
inferred← citeshttps://doi.org/10.1093/nar/gkaa1061openalex-snapshot
PROMISCUOUS 2.0: a resource for drug-repositioning
inferred← citeshttps://doi.org/10.1101/2023.10.06.561266openalex-snapshot
Cheminformatics analysis of multi-target structure-activity landscape of environmental chemicals binding to human endocrine receptors
inferred← citeshttps://doi.org/10.3389/fchem.2026.1988344openalex-snapshot
Cytochrome P450 inhibitors: friends or foes?
inferred← citeshttps://doi.org/10.3390/molecules24224185openalex-snapshot
Identifying Promiscuous Compounds with Activity against Different Target Classes
inferred← citeshttps://doi.org/10.4155/fdd-2020-0014openalex-snapshot
Compounds With Multitarget Activity: Structure-Based Analysis and Machine Learning
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