On the public citation graph

Virtual Screening Data Fusion Using Both Structure- and Ligand-Based Methods

0 signed · 121 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/cmdc.200800129openalex-snapshot
Integrating Structure‐ and Ligand‐Based Virtual Screening: Comparison of Individual, Parallel, and Fused Molecular Docking and Similarity Search Calculations on Multiple Targets
inferredcites →https://doi.org/10.1002/cmdc.200900314openalex-snapshot
Comparison of Structure‐ and Ligand‐Based Virtual Screening Protocols Considering Hit List Complementarity and Enrichment Factors
inferredcites →https://doi.org/10.1002/qsar.200610084openalex-snapshot
Enhancing the Effectiveness of Ligand‐Based Virtual Screening Using Data Fusion
inferredcites →https://doi.org/10.1007/978-3-642-66626-1_4openalex-snapshot
Three-Dimensional Pharmacophoric Pattern Searching
inferredcites →https://doi.org/10.1007/s10822-006-9087-6openalex-snapshot
PHASE: a new engine for pharmacophore perception, 3D QSAR model development, and 3D database screening: 1. Methodology and preliminary results
inferredcites →https://doi.org/10.1007/s10822-007-9133-zopenalex-snapshot
Epik: a software program for pK a prediction and protonation state generation for drug-like molecules
inferredcites →https://doi.org/10.1007/s10822-007-9167-2openalex-snapshot
Optimization of CAMD techniques 3. Virtual screening enrichment studies: a help or hindrance in tool selection?
inferredcites →https://doi.org/10.1007/s10822-008-9189-4openalex-snapshot
Community benchmarks for virtual screening
inferredcites →https://doi.org/10.1016/j.bmc.2007.08.049openalex-snapshot
Virtual screening and bioassay study of novel inhibitors for dengue virus mRNA cap (nucleoside-2′O)-methyltransferase
inferredcites →https://doi.org/10.1016/j.jmgm.2007.11.005openalex-snapshot
Is it possible to increase hit rates in structure-based virtual screening by pharmacophore filtering? An investigation of the advantages and pitfalls of post-filtering
inferredcites →https://doi.org/10.1016/s0169-409x(96)00423-1openalex-snapshot
Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings
inferredcites →https://doi.org/10.1016/s1093-3263(02)00204-8openalex-snapshot
Assessing the performance of OMEGA with respect to retrieving bioactive conformations
inferredcites →https://doi.org/10.1021/ci010025xopenalex-snapshot
How Does Consensus Scoring Work for Virtual Library Screening? An Idealized Computer Experiment
inferredcites →https://doi.org/10.1021/ci034234oopenalex-snapshot
Conditional Probability: A New Fusion Method for Merging Disparate Virtual Screening Results
inferredcites →https://doi.org/10.1021/ci0496144openalex-snapshot
Analysis of Data Fusion Methods in Virtual Screening: Similarity and Group Fusion
inferredcites →https://doi.org/10.1021/ci049615wopenalex-snapshot
Analysis of Data Fusion Methods in Virtual Screening: Theoretical Model
inferredcites →https://doi.org/10.1021/ci050283kopenalex-snapshot
Comparison of Consensus Scoring Strategies for Evaluating Computational Models of Protein−Ligand Complexes
inferredcites →https://doi.org/10.1021/ci050296yopenalex-snapshot
The Use of Consensus Scoring in Ligand-Based Virtual Screening
inferredcites →https://doi.org/10.1021/ci050407topenalex-snapshot
Ligand Bias of Scoring Functions in Structure-Based Virtual Screening
inferredcites →https://doi.org/10.1021/ci100221gopenalex-snapshot
FLAP: GRID Molecular Interaction Fields in Virtual Screening. Validation using the DUD Data Set
inferredcites →https://doi.org/10.1021/ci700376copenalex-snapshot
Optimization of High Throughput Virtual Screening by Combining Shape-Matching and Docking Methods
inferredcites →https://doi.org/10.1021/ci800110popenalex-snapshot
FieldScreen: Virtual Screening Using Molecular Fields. Application to the DUD Data Set
inferredcites →https://doi.org/10.1021/ci900212vopenalex-snapshot
Novel Method for Generating Structure-Based Pharmacophores Using Energetic Analysis
inferredcites →https://doi.org/10.1021/ci900364wopenalex-snapshot
The Effect of Ligand-Based Tautomer and Protomer Prediction on Structure-Based Virtual Screening
inferredcites →https://doi.org/10.1021/jm020503aopenalex-snapshot
Kinases, Homology Models, and High Throughput Docking
inferredcites →https://doi.org/10.1021/jm0306430openalex-snapshot
Glide: A New Approach for Rapid, Accurate Docking and Scoring. 1. Method and Assessment of Docking Accuracy
inferredcites →https://doi.org/10.1021/jm030644sopenalex-snapshot
Glide: A New Approach for Rapid, Accurate Docking and Scoring. 2. Enrichment Factors in Database Screening
inferredcites →https://doi.org/10.1021/jm060763iopenalex-snapshot
Contribution of Conformer Focusing to the Uncertainty in Predicting Free Energies for Protein−Ligand Binding
inferredcites →https://doi.org/10.1021/jm0608356openalex-snapshot
Benchmarking Sets for Molecular Docking
inferredcites →https://doi.org/10.1021/jm060999mopenalex-snapshot
Prediction of Protein−Ligand Interactions. Docking and Scoring: Successes and Gaps
inferredcites →https://doi.org/10.1021/jm1013677openalex-snapshot
A Unified, Probabilistic Framework for Structure- and Ligand-Based Virtual Screening
inferredcites →https://doi.org/10.1021/jm7016144openalex-snapshot
Identification of Plasmodium falciparum Spermidine Synthase Active Site Binders through Structure-Based Virtual Screening
inferredcites →https://doi.org/10.1021/jm801569zopenalex-snapshot
Integration of Ligand and Structure-Based Virtual Screening for the Identification of the First Dual Targeting Agent for Heat Shock Protein 90 (Hsp90) and Tubulin
inferredcites →https://doi.org/10.1039/c0cp00151aopenalex-snapshot
Scoring functions and their evaluation methods for protein–ligand docking: recent advances and future directions
inferredcites →https://doi.org/10.1093/bib/bbp023openalex-snapshot
Recent advances in computer-aided drug design
inferredcites →https://doi.org/10.1093/nar/28.1.235openalex-snapshot
The Protein Data Bank
inferredcites →https://doi.org/10.1126/science.1096361openalex-snapshot
The Many Roles of Computation in Drug Discovery
inferredcites →https://doi.org/10.1517/17460441.3.8.841openalex-snapshot
What has virtual screening ever done for drug discovery?

What points at this work

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

inferred← citeshttps://doi.org/10.1002/9781119564782.ch12openalex-snapshot
Virtual Screening and Bioactivity Modeling for G Protein‐Coupled Receptors
inferred← citeshttps://doi.org/10.1002/9781394159338.ch3openalex-snapshot
Quantum Computing and Its Promise in Drug Discovery
inferred← citeshttps://doi.org/10.1002/cmdc.201700754openalex-snapshot
3D‐e‐Chem: Structural Cheminformatics Workflows for Computer‐Aided Drug Discovery
inferred← citeshttps://doi.org/10.1002/jmr.2471openalex-snapshot
Improvements, trends, and new ideas in molecular docking: 2012–2013 in review
inferred← citeshttps://doi.org/10.1002/med.21995openalex-snapshot
Advances in machine intelligence‐driven virtual screening approaches for big‐data
inferred← citeshttps://doi.org/10.1002/minf.201200110openalex-snapshot
Graph‐Based Consensus Clustering for Combining Multiple Clusterings of Chemical Structures
inferred← citeshttps://doi.org/10.1002/minf.201300143openalex-snapshot
eFindSite: Enhanced Fingerprint‐Based Virtual Screening Against Predicted Ligand Binding Sites in Protein Models
inferred← citeshttps://doi.org/10.1002/minf.201501021openalex-snapshot
Best Matching Protein Conformations and Docking Programs for a Virtual Screening Campaign Against SMO Receptor
inferred← citeshttps://doi.org/10.1002/minf.202200103openalex-snapshot
Critical Assessment of State‐of‐the‐Art Ligand‐Based Virtual Screening Methods
inferred← citeshttps://doi.org/10.1007/978-1-0716-0150-1_7openalex-snapshot
Use of Machine Learning and Classical QSAR Methods in Computational Ecotoxicology
inferred← citeshttps://doi.org/10.1007/978-1-4939-7465-8_11openalex-snapshot
Methods for Virtual Screening of GPCR Targets: Approaches and Challenges
inferred← citeshttps://doi.org/10.1007/978-1-4939-7465-8_18openalex-snapshot
Ligand-Based Methods in GPCR Computer-Aided Drug Design
inferred← citeshttps://doi.org/10.1007/978-3-642-35326-0_28openalex-snapshot
Combining Multiple Individual Clusterings of Chemical Structures Using Cluster-Based Similarity Partitioning Algorithm
inferred← citeshttps://doi.org/10.1007/978-981-10-7242-0_22openalex-snapshot
Prediction of New Bioactive Molecules of Chemical Compound Using Boosting Ensemble Methods
inferred← citeshttps://doi.org/10.1007/978-981-99-2423-3_6openalex-snapshot
Drug Design Methods to Regulate Protein–Protein Interactions
inferred← citeshttps://doi.org/10.1007/s00894-018-3820-7openalex-snapshot
Receptor pharmacophore ensemble (REPHARMBLE): a probabilistic pharmacophore modeling approach using multiple protein-ligand complexes
inferred← citeshttps://doi.org/10.1007/s10822-015-9856-1openalex-snapshot
Ligand- and receptor-based docking with LiBELa
inferred← citeshttps://doi.org/10.1007/s11356-017-0437-9openalex-snapshot
Identification of potential aryl hydrocarbon receptor ligands by virtual screening of industrial chemicals
inferred← citeshttps://doi.org/10.1007/s13238-021-00885-0openalex-snapshot
Drug target inference by mining transcriptional data using a novel graph convolutional network framework
inferred← citeshttps://doi.org/10.1007/s40203-023-00158-0openalex-snapshot
Target validation and structure-based virtual screening to Discover potential lead molecules against the oncogenic NSD1 histone methyltransferase
inferred← citeshttps://doi.org/10.1016/b978-0-12-819132-3.00014-2openalex-snapshot
Virtual screening in drug discovery: a precious tool for a still-demanding challenge
inferred← citeshttps://doi.org/10.1016/j.chemosphere.2020.129099openalex-snapshot
Improvement in the screening performance of potential aryl hydrocarbon receptor ligands by using supervised machine learning
inferred← citeshttps://doi.org/10.1016/j.crstbi.2020.10.001openalex-snapshot
A two-stage computational approach to predict novel ligands for a chemosensory receptor
inferred← citeshttps://doi.org/10.1016/j.ddtec.2013.02.002openalex-snapshot
Combination of ligand- and structure-based methods in virtual screening
inferred← citeshttps://doi.org/10.1016/j.drudis.2013.01.007openalex-snapshot
The holistic integration of virtual screening in drug discovery
inferred← citeshttps://doi.org/10.1016/j.ejmech.2014.12.030openalex-snapshot
Identification and optimization of Escherichia coli GlmU inhibitors: An in silico approach with validation thereof
inferred← citeshttps://doi.org/10.1016/j.ejmech.2015.04.017openalex-snapshot
Prospective performance evaluation of selected common virtual screening tools. Case study: Cyclooxygenase (COX) 1 and 2
inferred← citeshttps://doi.org/10.1016/j.ejmech.2024.117162openalex-snapshot
Combined usage of ligand- and structure-based virtual screening in the artificial intelligence era
inferred← citeshttps://doi.org/10.1016/j.jsbmb.2013.07.004openalex-snapshot
Integration of ligand and structure-based virtual screening for identification of leading anabolic steroids
inferred← citeshttps://doi.org/10.1016/j.ymeth.2014.07.007openalex-snapshot
Hierarchical virtual screening approaches in small molecule drug discovery
inferred← citeshttps://doi.org/10.1021/acs.jcim.0c00116openalex-snapshot
Rigorous Free Energy Simulations in Virtual Screening
inferred← citeshttps://doi.org/10.1021/acs.jcim.1c00589openalex-snapshot
Pharmacoprint: A Combination of a Pharmacophore Fingerprint and Artificial Intelligence as a Tool for Computer-Aided Drug Design
inferred← citeshttps://doi.org/10.1021/acs.jcim.2c00644openalex-snapshot
Virtual Screening in the Cloud Identifies Potent and Selective ROS1 Kinase Inhibitors
inferred← citeshttps://doi.org/10.1021/acs.jcim.2c01544openalex-snapshot
Exploration of a Large Virtual Chemical Space: Identification of Potent Inhibitors of Lactate Dehydrogenase-A against Pancreatic Cancer
inferred← citeshttps://doi.org/10.1021/acs.jcim.5b00134openalex-snapshot
VS-APPLE: A Virtual Screening Algorithm Using Promiscuous Protein–Ligand Complexes
inferred← citeshttps://doi.org/10.1021/acs.jcim.5b00275openalex-snapshot
HybridDock: A Hybrid Protein–Ligand Docking Protocol Integrating Protein- and Ligand-Based Approaches
inferred← citeshttps://doi.org/10.1021/acs.jcim.9b01191openalex-snapshot
Assessing the Performance of Mixed Strategies To Combine Lipophilic Molecular Similarity and Docking in Virtual Screening
inferred← citeshttps://doi.org/10.1021/acs.jmedchem.9b02126openalex-snapshot
Computational Chemistry on a Budget: Supporting Drug Discovery with Limited Resources
inferred← citeshttps://doi.org/10.1021/acschemneuro.0c00627openalex-snapshot
Recent Advances in Virtual Screening for Cholinesterase Inhibitors
inferred← citeshttps://doi.org/10.1021/acsomega.4c05433openalex-snapshot
Bridging Structure- and Ligand-Based Virtual Screening through Fragmented Interaction Fingerprint
inferred← citeshttps://doi.org/10.1021/ci200481copenalex-snapshot
Virtual Drug Screen Schema Based on Multiview Similarity Integration and Ranking Aggregation
inferred← citeshttps://doi.org/10.1021/ci3002638openalex-snapshot
Integrating Ligand-Based and Protein-Centric Virtual Screening of Kinase Inhibitors Using Ensembles of Multiple Protein Kinase Genes and Conformations
inferred← citeshttps://doi.org/10.1021/ci300463gopenalex-snapshot
Boosting Virtual Screening Enrichments with Data Fusion: Coalescing Hits from Two-Dimensional Fingerprints, Shape, and Docking
inferred← citeshttps://doi.org/10.1021/ci300514vopenalex-snapshot
Identification of Novel Androgen Receptor Antagonists Using Structure- and Ligand-Based Methods
inferred← citeshttps://doi.org/10.1021/ci300547gopenalex-snapshot
Combination of Similarity Rankings Using Data Fusion
inferred← citeshttps://doi.org/10.1021/ci400059popenalex-snapshot
Hit Expansion Approaches Using Multiple Similarity Methods and Virtualized Query Structures
inferred← citeshttps://doi.org/10.1021/ci400382ropenalex-snapshot
Development and Evaluation of an Integrated Virtual Screening Strategy by Combining Molecular Docking and Pharmacophore Searching Based on Multiple Protein Structures
inferred← citeshttps://doi.org/10.1021/ci4005496openalex-snapshot
SABRE: Ligand/Structure-Based Virtual Screening Approach Using Consensus Molecular-Shape Pattern Recognition
inferred← citeshttps://doi.org/10.1021/ci500025ropenalex-snapshot
Novel Mycosin Protease MycP1 Inhibitors Identified by Virtual Screening and 4D Fingerprints
inferred← citeshttps://doi.org/10.1021/ci5005465openalex-snapshot
Toward a Benchmarking Data Set Able to Evaluate Ligand- and Structure-based Virtual Screening Using Public HTS Data
inferred← citeshttps://doi.org/10.1021/ci500694copenalex-snapshot
Combinatorial Consensus Scoring for Ligand-Based Virtual Fragment Screening: A Comparative Case Study for Serotonin 5-HT3A, Histamine H1, and Histamine H4Receptors
inferred← citeshttps://doi.org/10.1021/ct500189sopenalex-snapshot
Leveraging Data Fusion Strategies in Multireceptor Lead Optimization MM/GBSA End-Point Methods
inferred← citeshttps://doi.org/10.1021/jm3001482openalex-snapshot
Identification of Novel Antimalarial Chemotypes via Chemoinformatic Compound Selection Methods for a High-Throughput Screening Program against the Novel Malarial Target, PfNDH2: Increasing Hit Rate via Virtual Screening Methods
inferred← citeshttps://doi.org/10.1038/srep28288openalex-snapshot
Function-specific virtual screening for GPCR ligands using a combined scoring method
inferred← citeshttps://doi.org/10.1039/d5md00317bopenalex-snapshot
Allosteric targeting of RIPK1: discovery of novel inhibitors via parallel virtual screening and structure-guided optimization
inferred← citeshttps://doi.org/10.1080/10799893.2019.1638401openalex-snapshot
Discovery of human autophagy initiation kinase ULK1 inhibitors by multi-directionalin silicoscreening strategies
inferred← citeshttps://doi.org/10.1080/17460441.2016.1174688openalex-snapshot
Computational modeling in melanoma for novel drug discovery
inferred← citeshttps://doi.org/10.1093/bib/bbaa410openalex-snapshot
Accuracy or novelty: what can we gain from target-specific machine-learning-based scoring functions in virtual screening?
inferred← citeshttps://doi.org/10.1093/bib/bbab135openalex-snapshot
Systematic comparison of ligand-based and structure-based virtual screening methods on poly (ADP-ribose) polymerase-1 inhibitors
inferred← citeshttps://doi.org/10.1093/bib/bbaf620openalex-snapshot
Evaluation of single-template ligand-based methods for the discovery of small-molecule nucleic acid binders
inferred← citeshttps://doi.org/10.1101/2020.04.01.019166openalex-snapshot
Computational target fishing by mining transcriptional data using a novel Siamese spectral-based graph convolutional network
inferred← citeshttps://doi.org/10.1111/1755-0998.12326openalex-snapshot
‘True’ null allele detection in microsatellite loci: a comparison of methods, assessment of difficulties and survey of possible improvements
inferred← citeshttps://doi.org/10.11113/jt.v63.1166openalex-snapshot
Using Soft Consensus Clustering for Combining Multiple Clusterings of Chemical Structures
inferred← citeshttps://doi.org/10.11606/t.60.2015.tde-17042015-094002openalex-snapshot
Planejamento, ensaio e otimização in silico de novos protótipos inibidores da enzima acetilcolinesterase
inferred← citeshttps://doi.org/10.1186/1758-2946-4-37openalex-snapshot
Voting-based consensus clustering for combining multiple clusterings of chemical structures
inferred← citeshttps://doi.org/10.1186/1758-2946-5-2openalex-snapshot
Enhanced ranking of PknB Inhibitors using data fusion methods
inferred← citeshttps://doi.org/10.1371/journal.pone.0084510openalex-snapshot
A Linear Combination of Pharmacophore Hypotheses as a New Tool in Search of New Active Compounds – An Application for 5-HT1A Receptor Ligands
inferred← citeshttps://doi.org/10.1504/ijcbdd.2014.058584openalex-snapshot
Combining multiple clusterings of chemical structures using cluster-based similarity partitioning algorithm
inferred← citeshttps://doi.org/10.2174/09298673130110openalex-snapshot
Multi-Aspect Candidates for Repositioning: Data Fusion Methods Using Heterogeneous Information Sources
inferred← citeshttps://doi.org/10.2174/0929867324666170712115411openalex-snapshot
Rational Drug Design of Antineoplastic Agents Using 3D-QSAR, Cheminformatic, and Virtual Screening Approaches
inferred← citeshttps://doi.org/10.2174/1570163816666191112122047openalex-snapshot
In Silico Drug-designing Studies on Sulforaphane Analogues: Pharmacophore Mapping, Molecular Docking and QSAR Modeling
inferred← citeshttps://doi.org/10.26434/chemrxiv-2024-dkvf8openalex-snapshot
3D-Pharma, A Ligand-based Virtual Screening toolusing 3D Pharmacophore Fingerprints
inferred← citeshttps://doi.org/10.3389/fnins.2016.00265openalex-snapshot
Drug Design for CNS Diseases: Polypharmacological Profiling of Compounds Using Cheminformatic, 3D-QSAR and Virtual Screening Methodologies
inferred← citeshttps://doi.org/10.3389/fphar.2018.00864openalex-snapshot
Discovery and Identification of Pyrazolopyramidine Analogs as Novel Potent Androgen Receptor Antagonists
inferred← citeshttps://doi.org/10.3390/bioengineering9080335openalex-snapshot
Emerging Promise of Computational Techniques in Anti-Cancer Research: At a Glance
inferred← citeshttps://doi.org/10.3390/ijms222413423openalex-snapshot
A Search for Cyclin-Dependent Kinase 4/6 Inhibitors by Pharmacophore-Based Virtual Screening, Molecular Docking, and Molecular Dynamic Simulations
inferred← citeshttps://doi.org/10.3390/ijms24087360openalex-snapshot
Identification of Potential p38γ Inhibitors via In Silico Screening, In Vitro Bioassay and Molecular Dynamics Simulation Studies
inferred← citeshttps://doi.org/10.3390/molecules22101588openalex-snapshot
Novel FXa Inhibitor Identification through Integration of Ligand- and Structure-Based Approaches
inferred← citeshttps://doi.org/10.3390/molecules25204723openalex-snapshot
Merging Ligand-Based and Structure-Based Methods in Drug Discovery: An Overview of Combined Virtual Screening Approaches
inferred← citeshttps://doi.org/10.3390/molecules28093938openalex-snapshot
Identification of Small Molecule Inhibitors of Human Cytomegalovirus pUL89 Endonuclease Using Integrated Computational Approaches
inferred← citeshttps://doi.org/10.34172/bi.2023.29951openalex-snapshot
Thiazolo-pyridopyrimidines: An in silico evaluation as a lead for CDK4/6 inhibition, synthesis and cytotoxicity screening against breast cancer cell lines
inferred← citeshttps://doi.org/10.4155/fmc.14.4openalex-snapshot
Early Repositioning Through Compound Set Enrichment Analysis: A Knowledge-Recycling Strategy
inferred← citeshttps://doi.org/10.52711/0974-360x.2025.00079openalex-snapshot
Search for Lead Compounds and In Vitro Assay of Potential Inhibitors of Plasmodium falciparum Prolyl-tRNA Synthetase from Natural Compound Database
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.