On the public citation graph

Using Pharmacophore Models To Gain Insight into Structural Binding and Virtual Screening: An Application Study with CDK2 and Human DHFR

0 signed · 62 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1002/prot.10599openalex-snapshot
A pharmacophore docking algorithm and its application to the cross‐docking of 18 HIV‐NNRTI's in their binding pockets
inferredcites →https://doi.org/10.1016/j.tips.2005.01.001openalex-snapshot
A possible common pharmacophore in the non-peptide antagonists of the bradykinin B1 receptor
inferredcites →https://doi.org/10.1021/ci049753lopenalex-snapshot
Comparative Analysis of Protein-Bound Ligand Conformations with Respect to Catalyst's Conformational Space Subsampling Algorithms
inferredcites →https://doi.org/10.1021/jm0100032openalex-snapshot
Indenopyrazoles as Novel Cyclin Dependent Kinase (CDK) Inhibitors
inferredcites →https://doi.org/10.1021/jm010360copenalex-snapshot
Pharmacophore Mapping of a Series of 2,4-Diamino-5-deazapteridine Inhibitors of Mycobacterium avium Complex Dihydrofolate Reductase
inferredcites →https://doi.org/10.1021/jm010458ropenalex-snapshot
Identification of Novel Cyclooxygenase-2 Selective Inhibitors Using Pharmacophore Models
inferredcites →https://doi.org/10.1021/jm0493818openalex-snapshot
Ph4Dock: Pharmacophore-Based Protein−Ligand Docking
inferredcites →https://doi.org/10.1021/jm9708691openalex-snapshot
Pharmacophores Incorporating Numerous Excluded Volumes Defined by X-ray Crystallographic Structure in Three-Dimensional Database Searching: Application to the Thyroid Hormone Receptor
inferredcites →https://doi.org/10.1023/a:1008191129541openalex-snapshot
Refinement of Catalyst hypotheses using simplex optimisation
inferredcites →https://doi.org/10.1023/a:1016399411208openalex-snapshot
Flexible docking under pharmacophore type constraints
inferredcites →https://doi.org/10.2174/0929867013372481openalex-snapshot
Pharmacophore Modeling and Three-dimensional Database Searching for Drug Design Using Catalyst
inferredcites →https://doi.org/10.2174/0929867043456287openalex-snapshot
Predicting Molecular Interactions in silico: I. A Guide to Pharmacophore Identification and its Applications to Drug Design
inferredcites →https://doi.org/10.2174/1389557033488088openalex-snapshot
Application of Pharmacophore Models for the Design and Synthesis of New Anticonvulsant Drugs
inferredcites →https://doi.org/10.2174/1568026023392940openalex-snapshot
History and Evolution of the Pharmacophore Concept in Computer-Aided Drug Design

What points at this work

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

inferred← citeshttps://doi.org/10.1002/9781394249190.ch8openalex-snapshot
Pharmacophore Modeling in Drug Design
inferred← citeshttps://doi.org/10.1002/9783527674381.ch10openalex-snapshot
Pharmacophore Generation for Multiple Ligands
inferred← citeshttps://doi.org/10.1002/qsar.200810050openalex-snapshot
Pharmacophore Mapping for Kv1.5 Potassium Channel Blockers
inferred← citeshttps://doi.org/10.1007/978-3-031-81728-1_20openalex-snapshot
Role of Pharmacophores in Virtual Screening and Drug Discovery
inferred← citeshttps://doi.org/10.1007/978-981-10-3573-9_11openalex-snapshot
High-Throughput and In Silico Screening in Drug Discovery
inferred← citeshttps://doi.org/10.1007/978-981-15-8127-4_23openalex-snapshot
Phytotherapeutics: The Rising Role of Drug Transporters in Herb-Drug Interactions with Botanical Supplements
inferred← citeshttps://doi.org/10.1007/s00044-013-0571-yopenalex-snapshot
The discovery of potential cyclin A/CDK2 inhibitors: a combination of 3D QSAR pharmacophore modeling, virtual screening, and molecular docking studies
inferred← citeshttps://doi.org/10.1007/s00894-010-0690-zopenalex-snapshot
Pharmacophore modeling of human adenosine receptor A2A antagonists
inferred← citeshttps://doi.org/10.1007/s10822-014-9771-xopenalex-snapshot
Ensemble pharmacophore meets ensemble docking: a novel screening strategy for the identification of RIPK1 inhibitors
inferred← citeshttps://doi.org/10.1007/s10822-026-00895-2openalex-snapshot
QSAR, molecular dynamics, and biological evaluation of novel myeloperoxidase inhibitors via ligand-based pharmacophore modeling as potential anticancer agents
inferred← citeshttps://doi.org/10.1007/s11030-017-9745-8openalex-snapshot
Identification of a novel putative inhibitor of the Plasmodium falciparum purine nucleoside phosphorylase: exploring the purine salvage pathway to design new antimalarial drugs
inferred← citeshttps://doi.org/10.1007/s11426-012-4606-xopenalex-snapshot
Comparative pharmacophore modeling of human adenosine receptor A1 and A3 antagonists
inferred← citeshttps://doi.org/10.1007/s12195-013-0304-9openalex-snapshot
Target-Bound Generated Pharmacophore Model to Improve the Pharmacophore-Based Virtual Screening: Identification of G-Protein Coupled Human CCR2 Receptors Inhibitors as Anti-Inflammatory Drugs
inferred← citeshttps://doi.org/10.1016/b978-0-12-809633-8.20276-8openalex-snapshot
Pharmacophore Development
inferred← citeshttps://doi.org/10.1016/b978-0-12-820546-4.00009-xopenalex-snapshot
Ligand-based pharmacophore modeling: A technique utilized for virtual screening of commercial databases
inferred← citeshttps://doi.org/10.1016/b978-0-323-90608-1.00002-2openalex-snapshot
Pharmacophore modeling in drug design
inferred← citeshttps://doi.org/10.1016/b978-0-323-91172-6.00023-6openalex-snapshot
Pharmacophore mapping and modeling approaches for drug development
inferred← citeshttps://doi.org/10.1016/j.addr.2015.03.006openalex-snapshot
In silico methods for predicting drug–drug interactions with cytochrome P-450s, transporters and beyond
inferred← citeshttps://doi.org/10.1016/j.bmcl.2015.12.040openalex-snapshot
Discovery of potent and orally bioavailable inhibitors of Human Uric Acid Transporter 1 (hURAT1) and binding mode prediction using homology model
inferred← citeshttps://doi.org/10.1016/j.cbi.2006.12.006openalex-snapshot
Computer-aided drug discovery and development (CADDD): In silico-chemico-biological approach
inferred← citeshttps://doi.org/10.1016/j.drudis.2010.03.013openalex-snapshot
Pharmacophore modeling and applications in drug discovery: challenges and recent advances
inferred← citeshttps://doi.org/10.1016/j.ejmech.2017.07.067openalex-snapshot
Recent advances on CDK inhibitors: An insight by means of in silico methods
inferred← citeshttps://doi.org/10.1016/j.jmgm.2008.07.004openalex-snapshot
Towards more accurate pharmacophore modeling: Multicomplex-based comprehensive pharmacophore map and most-frequent-feature pharmacophore model of CDK2
inferred← citeshttps://doi.org/10.1016/j.jmgm.2023.108434openalex-snapshot
Application of computational methods for class A GPCR Ligand discovery
inferred← citeshttps://doi.org/10.1016/j.jtbi.2017.11.021openalex-snapshot
Exploration of Mycobacterium tuberculosis structural proteome: An in-silico approach
inferred← citeshttps://doi.org/10.1016/j.molstruc.2008.10.065openalex-snapshot
A three-dimensional pharmacophore model for RXRα agonists
inferred← citeshttps://doi.org/10.1021/acsomega.4c03376openalex-snapshot
Pharmacophore Virtual Screening Identifies Riboflavin as an Inhibitor of the Schistosome Cathepsin B1 Protease with Antiparasitic Activity
inferred← citeshttps://doi.org/10.1021/ci7000082openalex-snapshot
3D QSAR Methods: Phase and Catalyst Compared
inferred← citeshttps://doi.org/10.1021/ci700024qopenalex-snapshot
Fast and Efficient in Silico 3D Screening: Toward Maximum Computational Efficiency of Pharmacophore-Based and Shape-Based Approaches
inferred← citeshttps://doi.org/10.1021/ci800174copenalex-snapshot
Approved Drug Mimics of Short Peptide Ligands from Protein Interaction Motifs
inferred← citeshttps://doi.org/10.1021/ci900294xopenalex-snapshot
Discovery of Small Molecule Inhibitors of Protein−Protein Interactions Using Combined Ligand and Target Score Normalization
inferred← citeshttps://doi.org/10.1021/ci900356mopenalex-snapshot
Comparison of Three Preprocessing Filters Efficiency in Virtual Screening: Identification of New Putative LXRβ Regulators As a Test Case
inferred← citeshttps://doi.org/10.1021/ed500195dopenalex-snapshot
Using Free Computational Resources To Illustrate the Drug Design Process in an Undergraduate Medicinal Chemistry Course
inferred← citeshttps://doi.org/10.1021/jm701519hopenalex-snapshot
Identification of Novel Cannabinoid CB1 Receptor Antagonists by Using Virtual Screening with a Pharmacophore Model
inferred← citeshttps://doi.org/10.1021/mp900163dopenalex-snapshot
Computational Models for Drug Inhibition of the Human Apical Sodium-Dependent Bile Acid Transporter
inferred← citeshttps://doi.org/10.1080/1062936x.2017.1398782openalex-snapshot
A QSAR and molecular modelling study towards new lead finding: polypharmacological approach to Mycobacterium tuberculosis
inferred← citeshttps://doi.org/10.1134/s1070363210120248openalex-snapshot
Computational methods and software in computer-aided combinatorial library design
inferred← citeshttps://doi.org/10.1186/2191-2858-2-7openalex-snapshot
In silico identification of novel lead compounds with AT1 receptor antagonist activity: successful application of chemical database screening protocol
inferred← citeshttps://doi.org/10.1371/journal.pone.0060470openalex-snapshot
An Innovative Strategy for Dual Inhibitor Design and Its Application in Dual Inhibition of Human Thymidylate Synthase and Dihydrofolate Reductase Enzymes
inferred← citeshttps://doi.org/10.1517/17460441.2013.767795openalex-snapshot
Recent advances in pharmacophore modeling and its application to anti-influenza drug discovery
inferred← citeshttps://doi.org/10.1517/17460441003592072openalex-snapshot
Pharmacophore-based virtual screening: a review of recent applications
inferred← citeshttps://doi.org/10.2174/1568026611313090006openalex-snapshot
Methods and Applications of Structure Based Pharmacophores in Drug Discovery
inferred← citeshttps://doi.org/10.3389/fchem.2021.700802openalex-snapshot
Non-Extensive Fragmentation of Natural Products and Pharmacophore-Based Virtual Screening as a Practical Approach to Identify Novel Promising Chemical Scaffolds
inferred← citeshttps://doi.org/10.4236/ijoc.2021.112007openalex-snapshot
Pharmacophore Based Virtual Screening for Identification of Novel CDK2 Inhibitors
inferred← citeshttps://doi.org/10.5012/bkcs.2007.28.4.561openalex-snapshot
Adenosine Kinase Inhibitor Design Based on Pharmacophore Modeling
inferred← citeshttps://doi.org/10.5497/wjp.v3.i4.162openalex-snapshot
Pharmacophore approaches in protein kinase inhibitors design
inferred← citeshttps://doi.org/10.6026/97320630008498openalex-snapshot
An alphabetic code based atomic level molecular similarity search in databases
inferred← citeshttps://doi.org/10.82308/17726openalex-snapshot
From desktop to benchtop - Developing computational tools for organic and medicinal chemistry
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.