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Virtual Affinity Fingerprints for Target Fishing: A New Application of Drug Profile Matching

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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A semiempirical free energy force field with charge‐based desolvation
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Risperidone compared with new and reference antipsychotic drugs: in vitro and in vivo receptor binding
inferredcites →https://doi.org/10.1007/bf02311185openalex-snapshot
D4 dopamine receptor binding affinity does not distinguish between typical and atypical antipsychotic drugs
inferredcites →https://doi.org/10.1016/0014-2999(84)90478-3openalex-snapshot
Antagonism by neuroleptics of neurotransmitter receptors of normal human brain in vitro
inferredcites →https://doi.org/10.1016/0304-3940(94)90561-4openalex-snapshot
Competitive antagonism of serotonin (5-HT)2C and 5-HT2A receptormediated phosphoinositide (PI) turnover by clozapine in the rat: A comparison to other antipsychotics
inferredcites →https://doi.org/10.1016/1074-5521(95)90283-xopenalex-snapshot
Predicting ligand binding to proteins by affinity fingerprinting
inferredcites →https://doi.org/10.1016/j.cbpa.2010.06.166openalex-snapshot
Rational approaches to targeted polypharmacology: creating and navigating protein–ligand interaction networks
inferredcites →https://doi.org/10.1016/j.jprot.2011.05.011openalex-snapshot
From in silico target prediction to multi-target drug design: Current databases, methods and applications
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Muscarinic mechanisms of antipsychotic atypicality
inferredcites →https://doi.org/10.1016/s0014-2999(99)00005-9openalex-snapshot
Pharmacological profile of neuroleptics at human monoamine transporters
inferredcites →https://doi.org/10.1016/s0022-3565(24)37262-3openalex-snapshot
Pharmacological Comparison of the Cloned Human and Rat M2 Muscarinic Receptor Genes Expressed in the Murine Fibroblast (B82) Cell Line
inferredcites →https://doi.org/10.1016/s0022-3565(24)38891-3openalex-snapshot
Inverse Agonist Activity of Atypical Antipsychotic Drugs at Human 5-Hydroxytryptamine2C Receptors
inferredcites →https://doi.org/10.1016/s0022-3565(25)11335-9openalex-snapshot
Antagonism by antimuscarinic and neuroleptic compounds at the five cloned human muscarinic cholinergic receptors expressed in Chinese hamster ovary cells.
inferredcites →https://doi.org/10.1016/s0022-3565(25)11452-3openalex-snapshot
Binding of typical and atypical antipsychotic agents to transiently expressed 5-HT1C receptors.
inferredcites →https://doi.org/10.1016/s0022-3565(25)22951-2openalex-snapshot
Neuroleptics and learning: effects of haloperidol, molindone, mesoridazine and thioridazine on the behavior of pigeons under a repeated acquisition procedure.
inferredcites →https://doi.org/10.1016/s0022-3565(25)32494-8openalex-snapshot
Interactions of neuroleptic metabolites with dopaminergic, alpha adrenergic and muscarinic cholinergic receptors.
inferredcites →https://doi.org/10.1016/s0024-3205(00)00911-5openalex-snapshot
Binding of antipsychotic drugs to human brain receptors
inferredcites →https://doi.org/10.1016/s0025-6196(12)65440-8openalex-snapshot
Antipsychotic Drugs: Prediction of Side-Effect Profiles Based on Neuroreceptor Data Derived From Human Brain Tissue
inferredcites →https://doi.org/10.1016/s0026-895x(25)10800-6openalex-snapshot
Properties of [3H]Haloperidol and [3H]Dopamine Binding Associated with Dopamine Receptors in Calf Brain Membranes
inferredcites →https://doi.org/10.1016/s0378-4347(98)00045-0openalex-snapshot
Protein affinity map of chemical space
inferredcites →https://doi.org/10.1016/s0893-133x(96)00187-xopenalex-snapshot
Atypical Neuroleptics Have Low Affinity for Dopamine D2 Receptors or Are Selective for D4 Receptors
inferredcites →https://doi.org/10.1016/s0893-133x(97)00112-7openalex-snapshot
Do Novel Antipsychotics Have Similar Pharmacological Characteristics? A Review of the Evidence
inferredcites →https://doi.org/10.1016/s1359-6446(02)02411-xopenalex-snapshot
Why do we need so many chemical similarity search methods?
inferredcites →https://doi.org/10.1021/ci025596jopenalex-snapshot
Combination of Fingerprint-Based Similarity Coefficients Using Data Fusion
inferredcites →https://doi.org/10.1021/ci2002022openalex-snapshot
Drug Effect Prediction by Polypharmacology-Based Interaction Profiling
inferredcites →https://doi.org/10.1021/ci2003544openalex-snapshot
Exploring Polypharmacology Using a ROCS-Based Target Fishing Approach
inferredcites →https://doi.org/10.1021/ci3001056openalex-snapshot
Contribution of 2D and 3D Structural Features of Drug Molecules in the Prediction of Drug Profile Matching
inferredcites →https://doi.org/10.1021/ci600197yopenalex-snapshot
“Bayes Affinity Fingerprints” Improve Retrieval Rates in Virtual Screening and Define Orthogonal Bioactivity Space: When Are Multitarget Drugs a Feasible Concept?
inferredcites →https://doi.org/10.1021/ci600334uopenalex-snapshot
An Efficient in Silico Screening Method Based on the Protein−Compound Affinity Matrix and Its Application to the Design of a Focused Library for Cytochrome P450 (CYP) Ligands
inferredcites →https://doi.org/10.1021/ci600426eopenalex-snapshot
Evaluating Virtual Screening Methods: Good and Bad Metrics for the “Early Recognition” Problem
inferredcites →https://doi.org/10.1021/ci800079xopenalex-snapshot
Ligand-Target Prediction Using Winnow and Naive Bayesian Algorithms and the Implications of Overall Performance Statistics
inferredcites →https://doi.org/10.1021/ci990439eopenalex-snapshot
Flexsim-X: A Method for the Detection of Molecules with Similar Biological Activity
inferredcites →https://doi.org/10.1021/jm00067a009openalex-snapshot
New pyridobenzodiazepine derivatives as potential antipsychotics: synthesis and neurochemical study
inferredcites →https://doi.org/10.1021/jm00081a018openalex-snapshot
Pyrrole Mannich bases as potential antipsychotic agents
inferredcites →https://doi.org/10.1021/jm00153a010openalex-snapshot
Synthesis and biological evaluation of 1-(1,2-benzisothiazol-3-yl)- and (1,2-benzisoxazol-3-yl)piperazine derivatives as potential antipsychotic agents
inferredcites →https://doi.org/10.1021/jm020938yopenalex-snapshot
Synthesis and Structure−Affinity Relationship Investigations of 5-Heteroaryl-Substituted Analogues of the Antipsychotic Sertindole. A New Class of Highly Selective α1Adrenoceptor Antagonists
inferredcites →https://doi.org/10.1021/jm030480fopenalex-snapshot
Selective Optimization of Side Activities: Another Way for Drug Discovery
inferredcites →https://doi.org/10.1021/jm050480aopenalex-snapshot
Classification of Chemical Compounds by Protein−Compound Docking for Use in Designing a Focused Library
inferredcites →https://doi.org/10.1021/jm060902wopenalex-snapshot
Bridging Chemical and Biological Space: “Target Fishing” Using 2D and 3D Molecular Descriptors
inferredcites →https://doi.org/10.1021/jm950800yopenalex-snapshot
Molecular Similarity Based on DOCK-Generated Fingerprints
inferredcites →https://doi.org/10.1021/jm991005dopenalex-snapshot
New (Sulfonyloxy)piperazinyldibenzazepines as Potential Atypical Antipsychotics: Chemistry and Pharmacological Evaluation
inferredcites →https://doi.org/10.1023/a:1008793325522openalex-snapshot
In vitro and in silico affinity fingerprints: Finding similarities beyond structural classes
inferredcites →https://doi.org/10.1023/a:1016357811882openalex-snapshot
Further development and validation of empirical scoring functions for structure-based binding affinity prediction
inferredcites →https://doi.org/10.1038/nature08506openalex-snapshot
Predicting new molecular targets for known drugs
inferredcites →https://doi.org/10.1038/nbt1284openalex-snapshot
Relating protein pharmacology by ligand chemistry
inferredcites →https://doi.org/10.1038/nchembio.118openalex-snapshot
Network pharmacology: the next paradigm in drug discovery
inferredcites →https://doi.org/10.1038/nrd1346openalex-snapshot
Magic shotguns versus magic bullets: selectively non-selective drugs for mood disorders and schizophrenia
inferredcites →https://doi.org/10.1038/sj.mp.4000336openalex-snapshot
Antipsychotic drugs which elicit little or no Parkinsonism bind more loosely than dopamine to brain D2 receptors, yet occupy high levels of these receptors
inferredcites →https://doi.org/10.1038/sj.npp.1300027openalex-snapshot
H1-Histamine Receptor Affinity Predicts Short-Term Weight Gain for Typical and Atypical Antipsychotic Drugs
inferredcites →https://doi.org/10.1039/b303745bopenalex-snapshot
Can an in silico drug-target search method be used to probe potential mechanisms of medicinal plant ingredients?
inferredcites →https://doi.org/10.1073/pnas.75.12.6290openalex-snapshot
Histamine H1 receptors identified in mammalian brain membranes with [3H]mepyramine.
inferredcites →https://doi.org/10.1080/10629360601054032openalex-snapshot
PASS: identification of probable targets and mechanisms of toxicity
inferredcites →https://doi.org/10.1093/nar/gkl114openalex-snapshot
TarFisDock: a web server for identifying drug targets with docking approach
inferredcites →https://doi.org/10.1093/nar/gkq300openalex-snapshot
PharmMapper server: a web server for potential drug target identification using pharmacophore mapping approach
inferredcites →https://doi.org/10.1111/j.1749-6632.1988.tb42125.xopenalex-snapshot
Neuroleptic Binding to Human Brain Receptors: Relation to Clinical Effectsa
inferredcites →https://doi.org/10.1176/jnp.8.2.223openalex-snapshot
Dopamine receptor binding predicts clinical and pharmacological potencies of antischizophrenic drugs
inferredcites →https://doi.org/10.1186/1752-153x-2-18openalex-snapshot
DOVIS 2.0: an efficient and easy to use parallel virtual screening tool based on AutoDock 4.0
inferredcites →https://doi.org/10.1213/00000539-199105000-00007openalex-snapshot
Droperidol Prevents Serotonin-Induced Bronchospasm in the Guinea Pig

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Polypharmacology in Drug Discovery
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Quantitative Structure‐activity Relationship (QSAR) Models for Docking Score Correction
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Prediction of Protein−compound Binding Energies from Known Activity Data: Docking‐score‐based Method and its Applications
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Web-Based Tools for Polypharmacology Prediction
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Nitrogen oxides (NO and NO2) pollution in the Accra metropolis: Spatiotemporal patterns and the role of meteorology
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Predicted Biological Activity of Purchasable Chemical Space
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A New Approach for Drug Target and Bioactivity Prediction: The Multifingerprint Similarity Search Algorithm (MuSSeL)
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DockScreen: A Database of In Silico Biomolecular Interactions to Support Computational Toxicology
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The polypharmacology browser: a web-based multi-fingerprint target prediction tool using ChEMBL bioactivity data
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QSAR-derived affinity fingerprints (part 2): modeling performance for potency prediction
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Large-Scale Chemical Similarity Networks for Target Profiling of Compounds Identified in Cell-Based Chemical Screens
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Identification of PPARγ ligands with One-dimensional Drug Profile Matching
inferred← citeshttps://doi.org/10.2174/1570163815666180227164028openalex-snapshot
Critical Insight into the Design of PPAR-γ Agonists by Virtual Screening Techniques
inferred← citeshttps://doi.org/10.29356/jmcs.v60i3.100openalex-snapshot
One Drug for Multiple Targets: A Computational Perspective
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NMR-Guided Repositioning of Non-Steroidal Anti-Inflammatory Drugs into Tight Junction Modulators
inferred← citeshttps://doi.org/10.6084/m9.figshare.12617895openalex-snapshot
Additional file 1 of QSAR-derived affinity fingerprints (part 2): modeling performance for potency prediction
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