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Improving Quantitative Structure−Activity Relationships through Multiobjective Optimization

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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/jcc.20994openalex-snapshot
Desirability‐based multiobjective optimization for global QSAR studies: Application to the design of novel NSAIDs with improved analgesic, antiinflammatory, and ulcerogenic profiles
inferredcites →https://doi.org/10.1002/prot.10465openalex-snapshot
Improved protein–ligand docking using GOLD
inferredcites →https://doi.org/10.1002/qsar.19930120103openalex-snapshot
Generating Optimal Linear PLS Estimations (GOLPE): An Advanced Chemometric Tool for Handling 3D‐QSAR Problems
inferredcites →https://doi.org/10.1002/qsar.200390007openalex-snapshot
The Importance of Being Earnest: Validation is the Absolute Essential for Successful Application and Interpretation of QSPR Models
inferredcites →https://doi.org/10.1002/qsar.200960029openalex-snapshot
Investigating Enzyme Selectivity and Hit Enrichment by Automatically Interfacing Ligand‐ and Structure‐Based Molecular Design
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Development and validation of a genetic algorithm for flexible docking 1 1Edited by F. E. Cohen
inferredcites →https://doi.org/10.1007/0-306-46883-2_15openalex-snapshot
Evaluation of reactant-based and product-based approaches to the design of combinatorial libraries
inferredcites →https://doi.org/10.1007/s10822-004-4068-0openalex-snapshot
3D-QSAR illusions
inferredcites →https://doi.org/10.1007/s10822-006-9086-7openalex-snapshot
Incorporating partial matches within multiobjective pharmacophore identification
inferredcites →https://doi.org/10.1007/s10822-007-9156-5openalex-snapshot
A knowledge-based approach to generating diverse but energetically representative ensembles of ligand conformers
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Similarity-based virtual screening using 2D fingerprints
inferredcites →https://doi.org/10.1016/s0169-7439(01)00156-3openalex-snapshot
Some recent developments in PLS modeling
inferredcites →https://doi.org/10.1016/s1074-5521(00)00122-8openalex-snapshot
Simulated molecular evolution in a full combinatorial library
inferredcites →https://doi.org/10.1017/cbo9781107359895.005openalex-snapshot
Some recent developments
inferredcites →https://doi.org/10.1021/ci0203794openalex-snapshot
Partially Unified Multiple Property Recursive Partitioning (PUMP-RP): A New Method for Predicting and Understanding Drug Selectivity
inferredcites →https://doi.org/10.1021/ci050293lopenalex-snapshot
QSAR and QSPR Studies of a Highly Structured Physicochemical Domain
inferredcites →https://doi.org/10.1021/ci6005646openalex-snapshot
Generating Conformer Ensembles Using a Multiobjective Genetic Algorithm
inferredcites →https://doi.org/10.1021/ci700119ropenalex-snapshot
Screening of Matrix Metalloproteinases Available from the Protein Data Bank: Insights into Biological Functions, Domain Organization, and Zinc Binding Groups
inferredcites →https://doi.org/10.1021/ci700424bopenalex-snapshot
Fragment-Based de Novo Ligand Design by Multiobjective Evolutionary Optimization
inferredcites →https://doi.org/10.1021/ci800015sopenalex-snapshot
An Integrated Approach to Ligand- and Structure-Based Drug Design: Development and Application to a Series of Serine Protease Inhibitors
inferredcites →https://doi.org/10.1021/ci800051hopenalex-snapshot
Evolving Interpretable Structure−Activity Relationship Models. 2. Using Multiobjective Optimization To Derive Multiple Models
inferredcites →https://doi.org/10.1021/jm00145a002openalex-snapshot
A computational procedure for determining energetically favorable binding sites on biologically important macromolecules
inferredcites →https://doi.org/10.1021/jm020919oopenalex-snapshot
Multiobjective Optimization in Quantitative Structure−Activity Relationships: Deriving Accurate and Interpretable QSARs
inferredcites →https://doi.org/10.1021/jm060350hopenalex-snapshot
Comparative Binding Energy Analysis Considering Multiple Receptors: A Step toward 3D-QSAR Models for Multiple Targets
inferredcites →https://doi.org/10.1021/jm0608356openalex-snapshot
Benchmarking Sets for Molecular Docking
inferredcites →https://doi.org/10.1021/jm9608016openalex-snapshot
Smart Region Definition: A New Way To Improve the Predictive Ability and Interpretability of Three-Dimensional Quantitative Structure−Activity Relationships
inferredcites →https://doi.org/10.1021/jm981062ropenalex-snapshot
Three-Dimensional Quantitative Structure−Activity Relationship Analyses Using Comparative Molecular Field Analysis and Comparative Molecular Similarity Indices Analysis To Elucidate Selectivity Differences of Inhibitors Binding to Trypsin, Thrombin, and Factor Xa
inferredcites →https://doi.org/10.1023/a:1008797526431openalex-snapshot
Evaluation of reactant-based and product-based approaches to the design of combinatorial libraries
inferredcites →https://doi.org/10.1038/nrd1549openalex-snapshot
Docking and scoring in virtual screening for drug discovery: methods and applications
inferredcites →https://doi.org/10.1093/nar/28.1.235openalex-snapshot
The Protein Data Bank
inferredcites →https://doi.org/10.1145/331499.331504openalex-snapshot
Data clustering
inferredcites →https://doi.org/10.5281/zenodo.2555798openalex-snapshot
Molecular Optimization Using Computational Multi-Objective Methods

What points at this work

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

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Supramolecular Anchoring of NCN‐Pincer Palladium Complexes into a β‐Barrel Protein Host: Molecular‐Docking and Reactivity Insights
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Prioritizing Hits with Appropriate Trade‐Offs Between HIV‐1 Reverse Transcriptase Inhibitory Efficacy and MT4 Blood Cells Toxicity Through Desirability‐Based Multiobjective Optimization and Ranking
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Multitarget Drug Design for Neurodegenerative Diseases
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Informed Use of 3D-QSAR for the Rational Design of Coumarin Derivatives as Potent and Selective MAO B Inhibitors
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On Exploring Structure–Activity Relationships
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Virtual screening of potentially endocrine-disrupting chemicals against nuclear receptors and its application to identify PPARγ-bound fatty acids
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Machine learning resources for drug design
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Design, synthesis and biological evaluation of 5-hydroxy, 5-substituted-pyrimidine-2,4,6-triones as potent inhibitors of gelatinases MMP-2 and MMP-9
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In silico design of novel 2H-chromen-2-one derivatives as potent and selective MAO-B inhibitors
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LEADOPT: An automatic tool for structure-based lead optimization, and its application in structural optimizations of VEGFR2 and SYK inhibitors
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Novel chemotypes targeting tubulin at the colchicine binding site and unbiasing P-glycoprotein
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Biarylmethoxy isonipecotanilides as potent and selective inhibitors of blood coagulation factor Xa
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De Novo Drug Design of Targeted Chemical Libraries Based on Artificial Intelligence and Pair-Based Multiobjective Optimization
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Predictive Structure-Based Toxicology Approaches To Assess the Androgenic Potential of Chemicals
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3D-QSAR and docking studies on adenosine A2Areceptor antagonists by the CoMFA method
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Ligand efficiency metrics in drug discovery: the pros and cons from a practical perspective
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Multi-objective optimization methods in novel drug design
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Evolutionary Computation and QSAR Research
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First-in-Class Isonipecotamide-Based Thrombin and Cholinesterase Dual Inhibitors with Potential for Alzheimer Disease
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Docking Studies, Synthesis and Evaluation of Novel Pyrimidin-2-one Derivatives As a Dipeptidyl Peptidase IV Inhibitors
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