On the public citation graph
Ligand-Based Virtual Screening Using Bayesian Networks
0 signed · 97 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.
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known work and none has been retracted — and get a dated CiteStamped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.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/cmdc.200800290openalex-snapshot
Similarity‐Based Virtual Screening with a Bayesian Inference Network
inferredcites →https://doi.org/10.1002/qsar.200330831openalex-snapshot
Approaches to Measure Chemical Similarity – a Review
inferredcites →https://doi.org/10.1002/qsar.200860155openalex-snapshot
Similarity‐Based Virtual Screening Using Bayesian Inference Network: Enhanced Search Using 2D Fingerprints and Multiple Reference Structures
inferredcites →https://doi.org/10.1002/sam.10037openalex-snapshot
Turbo similarity searching: Effect of fingerprint and dataset on virtual‐screening performance
inferredcites →https://doi.org/10.1007/s10822-009-9285-0openalex-snapshot
Analysis and use of fragment-occurrence data in similarity-based virtual screening
inferredcites →https://doi.org/10.1007/s11030-006-8697-1openalex-snapshot
Molecular similarity and diversity in chemoinformatics: From theory to applications
inferredcites →https://doi.org/10.1016/j.ijar.2003.07.011openalex-snapshot
The BNR model: foundations and performance of a Bayesian network-based retrieval model
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/10.1016/s1359-6446(04)02939-3openalex-snapshot
Novel technologies for virtual screening
inferredcites →https://doi.org/10.1021/ci050348jopenalex-snapshot
New Methods for Ligand-Based Virtual Screening: Use of Data Fusion and Machine Learning to Enhance the Effectiveness of Similarity Searching
inferredcites →https://doi.org/10.1021/ci8002649openalex-snapshot
Maximum Unbiased Validation (MUV) Data Sets for Virtual Screening Based on PubChem Bioactivity Data
inferredcites →https://doi.org/10.1021/jm060999mopenalex-snapshot
Prediction of Protein−Ligand Interactions. Docking and Scoring: Successes and Gaps
inferredcites →https://doi.org/10.1039/b409813gopenalex-snapshot
Molecular similarity: a key technique in molecular informatics
inferredcites →https://doi.org/10.1109/icacte.2008.113openalex-snapshot
Inference Networks for Chemical Similarity Searching
inferredcites →https://doi.org/10.1145/125187.125188openalex-snapshot
Evaluation of an inference network-based retrieval model
inferredcites →https://doi.org/10.1145/96749.98006openalex-snapshot
Inference networks for document retrieval
inferredcites →https://doi.org/10.1186/1758-2946-1-5openalex-snapshot
Evaluation of a Bayesian inference network for ligand-based virtual screening
inferredcites →https://doi.org/10.1517/17460441.2.4.423openalex-snapshot
Chemical similarity searches: when is complexity justified?
inferredcites →https://doi.org/10.2307/3498751openalex-snapshot
Nonparametric Statistics for the Behavioral Sciences
inferredcites →https://doi.org/10.5860/choice.41-5919openalex-snapshot
An introduction to chemoinformatics
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/ima.22572openalex-snapshot
Thermal imaging method to evaluate childhood obesity based on machine learning techniques
inferred← citeshttps://doi.org/10.1002/minf.201000100openalex-snapshot
Chemoinformatics as a Theoretical Chemistry Discipline
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.201300004openalex-snapshot
Information Theory and Voting Based Consensus Clustering for Combining Multiple Clusterings of Chemical Structures
inferred← citeshttps://doi.org/10.1002/minf.201700127openalex-snapshot
Classifiers and their Metrics Quantified
inferred← citeshttps://doi.org/10.1007/978-3-030-06170-8_7openalex-snapshot
Artificial Intelligence and Bioinformatics
inferred← citeshttps://doi.org/10.1007/978-3-030-33582-3_25openalex-snapshot
Methods to Improve Ranking Chemical Structures in Ligand-Based Virtual Screening
inferred← citeshttps://doi.org/10.1007/978-3-642-35326-0_25openalex-snapshot
LWDOSM: Language for Writing Descriptors of Outline Shape of Molecules
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/10.1007/978-3-642-35326-0_31openalex-snapshot
Combining Multiple K-Means Clusterings of Chemical Structures Using Cluster-Based Similarity Partitioning Algorithm
inferred← citeshttps://doi.org/10.1007/978-3-642-36543-0_19openalex-snapshot
Combining Multiple Clusterings of Chemical Structures Using Cumulative Voting-Based Aggregation Algorithm
inferred← citeshttps://doi.org/10.1007/978-3-642-36543-0_32openalex-snapshot
Adaptive Cumulative Voting-Based Aggregation Algorithm for Combining Multiple Clusterings of Chemical Structures
inferred← citeshttps://doi.org/10.1007/978-3-642-36543-0_33openalex-snapshot
LINGO-DOSM: LINGO for Descriptors of Outline Shape of Molecules
inferred← citeshttps://doi.org/10.1007/978-981-97-2082-8_11openalex-snapshot
Prediction of Chronic Venous Insufficiency Condition Using Infrared Thermography and Machine Learning
inferred← citeshttps://doi.org/10.1007/978-981-99-1316-9_6openalex-snapshot
Virtual Screening in Lead Discovery
inferred← citeshttps://doi.org/10.1007/s10822-012-9543-4openalex-snapshot
Ligand expansion in ligand-based virtual screening using relevance feedback
inferred← citeshttps://doi.org/10.1007/s10822-012-9608-4openalex-snapshot
A new fingerprint to predict nonribosomal peptides activity
inferred← citeshttps://doi.org/10.1007/s10822-016-0003-4openalex-snapshot
Quantum probability ranking principle for ligand-based virtual screening
inferred← citeshttps://doi.org/10.1007/s10822-020-00336-8openalex-snapshot
Monomer structure fingerprints: an extension of the monomer composition version for peptide databases
inferred← citeshttps://doi.org/10.1007/s10822-021-00383-9openalex-snapshot
LINGO-DL: a text-based approach for molecular similarity searching
inferred← citeshttps://doi.org/10.1007/s10822-021-00440-3openalex-snapshot
Turbo prediction: a new approach for bioactivity prediction
inferred← citeshttps://doi.org/10.1016/b978-0-443-33032-2.00004-6openalex-snapshot
Application of artificial intelligence for drug discovery
inferred← citeshttps://doi.org/10.1016/j.bmc.2012.03.030openalex-snapshot
Chemoinformatics: A view of the field and current trends in method development
inferred← citeshttps://doi.org/10.1016/j.drudis.2014.10.012openalex-snapshot
Machine-learning approaches in drug discovery: methods and applications
inferred← citeshttps://doi.org/10.1016/j.drudis.2022.103356openalex-snapshot
Concepts and applications of chemical fingerprint for hit and lead screening
inferred← citeshttps://doi.org/10.1016/j.eng.2023.01.014openalex-snapshot
Artificial Intelligence in Pharmaceutical Sciences
inferred← citeshttps://doi.org/10.1016/j.protcy.2013.12.264openalex-snapshot
The Influence of Similarity Measures and Fusion Rules Toward Turbo Similarity Searching
inferred← citeshttps://doi.org/10.1016/j.ymeth.2014.11.015openalex-snapshot
Benchmarking methods and data sets for ligand enrichment assessment in virtual screening
inferred← citeshttps://doi.org/10.1021/acs.chemrev.8b00728openalex-snapshot
Concepts of Artificial Intelligence for Computer-Assisted Drug Discovery
inferred← citeshttps://doi.org/10.1021/acs.jcim.0c01489openalex-snapshot
XGraphBoost: Extracting Graph Neural Network-Based Features for a Better Prediction of Molecular Properties
inferred← citeshttps://doi.org/10.1021/acs.jcim.8b00584openalex-snapshot
Exploring Alternative Strategies for the Identification of Potent Compounds Using Support Vector Machine and Regression Modeling
inferred← citeshttps://doi.org/10.1021/acs.jcim.8b00724openalex-snapshot
Accurate Hit Estimation for Iterative Screening Using Venn–ABERS Predictors
inferred← citeshttps://doi.org/10.1021/ci100232hopenalex-snapshot
New Fragment Weighting Scheme for the Bayesian Inference Network in Ligand-Based Virtual Screening
inferred← citeshttps://doi.org/10.1021/ci200303mopenalex-snapshot
Note on Naive Bayes Based on Binary Descriptors in Cheminformatics
inferred← citeshttps://doi.org/10.1021/ci300442uopenalex-snapshot
Consensus Methods for Combining Multiple Clusterings of Chemical Structures
inferred← citeshttps://doi.org/10.1021/ci400331popenalex-snapshot
Predictions of BuChE Inhibitors Using Support Vector Machine and Naive Bayesian Classification Techniques in Drug Discovery
inferred← citeshttps://doi.org/10.1021/ci4004909openalex-snapshot
Prediction of New Bioactive Molecules using a Bayesian Belief Network
inferred← citeshttps://doi.org/10.1039/c8ra06311gopenalex-snapshot
Screening of cytochrome P450 3A4 inhibitors via in silico and in vitro approaches
inferred← citeshttps://doi.org/10.1039/d4pm00323copenalex-snapshot
AI-driven innovations in pharmaceuticals: optimizing drug discovery and industry operations
inferred← citeshttps://doi.org/10.1109/access.2023.3299824openalex-snapshot
Ensemble Transfer Learning on Augmented Domain Resources for Oncological Named Entity Recognition in Chinese Clinical Records
inferred← citeshttps://doi.org/10.1109/ictaacs53298.2021.9715218openalex-snapshot
Machine Learning Methods In Drug Discovery: A Selective Review
inferred← citeshttps://doi.org/10.1111/cbdd.12095openalex-snapshot
Virtual Screening of CB 2 Receptor Agonists from Bayesian Network and High‐Throughput Docking: Structural Insights into Agonist‐Modulated GPCR Features
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/10.11113/jt.v78.9245openalex-snapshot
AN ACTIVITY PREDICTION MODEL USING SHAPE-BASED DESCRIPTOR METHOD
inferred← citeshttps://doi.org/10.1155/2014/286974openalex-snapshot
A New Graph-Based Molecular Descriptor Using the Canonical Representation of the Molecule
inferred← citeshttps://doi.org/10.11606/t.60.2014.tde-31102014-103834openalex-snapshot
Caseína quinase 1 como alvo para o planejamento de fármacos em mal de Alzheimer
inferred← citeshttps://doi.org/10.1177/1087057111416658openalex-snapshot
Implementing Relevance Feedback in Ligand-Based Virtual Screening Using Bayesian Inference Network
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-s1-p50openalex-snapshot
Using graph-based consensus clustering for combining K-means clustering of heterogeneous chemical structures
inferred← citeshttps://doi.org/10.1371/journal.pone.0124600openalex-snapshot
MLViS: A Web Tool for Machine Learning-Based Virtual Screening in Early-Phase of Drug Discovery and Development
inferred← citeshttps://doi.org/10.14569/ijacsa.2018.090235openalex-snapshot
Machine Learning Method To Screen Inhibitors of Virulent Transcription Regulator of Salmonella Typhi
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/10.19026/rjaset.10.1869openalex-snapshot
A Review of Outlier Prediction Techniques in Data Mining
inferred← citeshttps://doi.org/10.19101/ijacr.2019.940150openalex-snapshot
Traditional machine learning and big data analytics in virtual screening: a comparative study
inferred← citeshttps://doi.org/10.2174/1570163817666200806165934openalex-snapshot
Insights into Machine Learning-based Approaches for Virtual Screening in Drug Discovery: Existing Strategies and Streamlining Through FP-CADD
inferred← citeshttps://doi.org/10.2174/1574893614666191119123935openalex-snapshot
Genetic Algorithm-based Feature Selection Approach for Enhancing the Effectiveness of Similarity Searching in Ligand-based Virtual Screening
inferred← citeshttps://doi.org/10.2751/jcac.11.44openalex-snapshot
Development of a Pharmacophore Modeling Method and its Application to Phosphodiesterase-4 Inhibitors
inferred← citeshttps://doi.org/10.3389/fchem.2020.00343openalex-snapshot
Structure-Based Virtual Screening: From Classical to Artificial Intelligence
inferred← citeshttps://doi.org/10.3389/fphar.2018.00011openalex-snapshot
Decoys Selection in Benchmarking Datasets: Overview and Perspectives
inferred← citeshttps://doi.org/10.3390/biom12040508openalex-snapshot
Feature Reduction for Molecular Similarity Searching Based on Autoencoder Deep Learning
inferred← citeshttps://doi.org/10.3390/biom12111719openalex-snapshot
Hybrid-Enhanced Siamese Similarity Models in Ligand-Based Virtual Screen
inferred← citeshttps://doi.org/10.3390/ddc2020017openalex-snapshot
Virtual Screening Algorithms in Drug Discovery: A Review Focused on Machine and Deep Learning Methods
inferred← citeshttps://doi.org/10.3390/molecules201018107openalex-snapshot
A Quantum-Based Similarity Method in Virtual Screening
inferred← citeshttps://doi.org/10.3390/molecules26010128openalex-snapshot
Improved Deep Learning Based Method for Molecular Similarity Searching Using Stack of Deep Belief Networks
inferred← citeshttps://doi.org/10.3844/ajassp.2011.368.373openalex-snapshot
An Enhancement of Bayesian Inference Network for Ligand-Based Virtual Screening using Features Selection
inferred← citeshttps://doi.org/10.4015/s1016237222500521openalex-snapshot
FACIAL EMOTION DETECTION OF THERMAL AND DIGITAL IMAGES BASED ON MACHINE LEARNING TECHNIQUES
inferred← citeshttps://doi.org/10.4018/ijoci.312223openalex-snapshot
A Systematic Literature Review of the Current Status and Future Prospects of Machine Learning Methods and Techniques Applied to Novel Drug Discovery
inferred← citeshttps://doi.org/10.4155/9781909453012openalex-snapshot
In Silico Drug Discovery and Design
inferred← citeshttps://doi.org/10.4155/ebo.12.419openalex-snapshot
Machine learning and similarity-based virtual screening techniques
inferred← citeshttps://doi.org/10.5120/2386-3158openalex-snapshot
Ligandbased Virtual screening using Fuzzy Correlation Coefficient
inferred← citeshttps://doi.org/10.5336/biostatic.2019-64948openalex-snapshot
Small Drug Molecule Classification Using Deep Neural Networks
inferred← citeshttps://doi.org/10.56042/ijbb.v60i11.6067openalex-snapshot
Generating a potent inhibitor against MCF7 breast cancer cell through artificial intelligence based virtual screening and molecular docking studies
inferred← citeshttps://doi.org/10.5808/gi.2018.16.4.e31openalex-snapshot
Metabolic Syndrome Prediction Using Machine Learning Models with Genetic and Clinical Information from a Nonobese Healthy Population
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.