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Theoretical and computational approaches to ligand-based drug discovery

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What this work says

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

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Handbook of Molecular Descriptors
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Basic Overview of Chemoinformatics.
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Generating Optimal Linear PLS Estimations (GOLPE): An Advanced Chemometric Tool for Handling 3D‐QSAR Problems
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Methodology and preliminary results
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Automatic search for maximum similarity between molecular electrostatic potential distributions
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OVID and SUPER: Two overlap programs for drug design
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Chemical forces in terms of the electron density
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Chemoinformatics: a new field with a long tradition
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Pattern recognition based on color-coded quantum mechanical surfaces for molecular alignment
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PHASE: a new engine for pharmacophore perception, 3D QSAR model development, and 3D database screening: 1. Methodology and preliminary results
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Pushing the boundaries of 3D-QSAR
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A new method for ligand docking to flexible receptors by dual alanine scanning and refinement (SCARE)
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Papain hydrolysis of X-phenyl-N-methanesulfonyl glycinates: A quantitative structure-activity relationship and molecular graphics analysis
inferredcites →https://doi.org/10.1016/j.drudis.2008.12.006openalex-snapshot
Molecular fields in drug discovery: getting old or reaching maturity?
inferredcites →https://doi.org/10.1016/s0026-895x(25)14861-xopenalex-snapshot
Molecular Orbital Calculation of Preferred Conformations of Acetylcholine, Muscarine, and Muscarone
inferredcites →https://doi.org/10.1016/s0065-7743(08)61101-xopenalex-snapshot
Glossary of Terms Used in Medicinal Chemistry (IUPAC Recommendations 1997)
inferredcites →https://doi.org/10.1016/s0925-2312(03)00431-4openalex-snapshot
The support vector machine under test
inferredcites →https://doi.org/10.1016/s0968-0896(00)00203-0openalex-snapshot
Linking CoMFA and protein homology models of enzyme–inhibitor interactions: an application to non-steroidal aromatase inhibitors
inferredcites →https://doi.org/10.1016/s1367-5931(02)00341-1openalex-snapshot
Protein flexibility and drug design: how to hit a moving target
inferredcites →https://doi.org/10.1021/cc0000388openalex-snapshot
Chemography: The Art of Navigating in Chemical Space
inferredcites →https://doi.org/10.1021/ci0004614openalex-snapshot
A Quantum Mechanical/Neural Net Model for Boiling Points with Error Estimation
inferredcites →https://doi.org/10.1021/ci0503614openalex-snapshot
Structure-Based Pharmacophore Design and Virtual Screening for Novel Angiotensin Converting Enzyme 2 Inhibitors
inferredcites →https://doi.org/10.1021/ci060117sopenalex-snapshot
On Outliers and Activity CliffsWhy QSAR Often Disappoints
inferredcites →https://doi.org/10.1021/ci600387ropenalex-snapshot
Graph-Based Molecular Alignment (GMA)
inferredcites →https://doi.org/10.1021/ci700332kopenalex-snapshot
The Trouble with QSAR (or How I Learned To Stop Worrying and Embrace Fallacy)
inferredcites →https://doi.org/10.1021/ci7004093openalex-snapshot
Structure−Activity Landscape Index: Identifying and Quantifying Activity Cliffs
inferredcites →https://doi.org/10.1021/ci800009uopenalex-snapshot
SAMFA: Simplifying Molecular Description for 3D-QSAR
inferredcites →https://doi.org/10.1021/ci8001414openalex-snapshot
Assessing How Well a Modeling Protocol Captures a Structure−Activity Landscape
inferredcites →https://doi.org/10.1021/ci9000508openalex-snapshot
CAUTION: Popular “Benchmark” Data Sets Do Not Distinguish the Merits of 3D QSAR Methods
inferredcites →https://doi.org/10.1021/ci950273ropenalex-snapshot
Identification of Common Functional Configurations Among Molecules
inferredcites →https://doi.org/10.1021/ci990131nopenalex-snapshot
QM/NN QSPR Models with Error Estimation: Vapor Pressure and LogP
inferredcites →https://doi.org/10.1021/cr950066qopenalex-snapshot
Bioisosterism: A Rational Approach in Drug Design
inferredcites →https://doi.org/10.1021/ja00226a005openalex-snapshot
Comparative molecular field analysis (CoMFA). 1. Effect of shape on binding of steroids to carrier proteins
inferredcites →https://doi.org/10.1021/ja01280a022openalex-snapshot
The Effect of Structure upon the Reactions of Organic Compounds. Benzene Derivatives
inferredcites →https://doi.org/10.1021/jm0002634openalex-snapshot
Flexible Alignment of Small Molecules
inferredcites →https://doi.org/10.1021/jm00042a012openalex-snapshot
Comparative Molecular Field Analysis Using GRID Force-Field and GOLPE Variable Selection Methods in a Study of Inhibitors of Glycogen Phosphorylase b
inferredcites →https://doi.org/10.1021/jm00050a010openalex-snapshot
Molecular Similarity Indices in a Comparative Analysis (CoMSIA) of Drug Molecules to Correlate and Predict Their Biological Activity
inferredcites →https://doi.org/10.1021/jm000986nopenalex-snapshot
Multiple-Conformation and Protonation-State Representation in 4D-QSAR: The Neurokinin-1 Receptor System
inferredcites →https://doi.org/10.1021/jm00113a022openalex-snapshot
Applications of neural networks in quantitative structure-activity relationships of dihydrofolate reductase inhibitors
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/jm00155a005openalex-snapshot
A quantitative structure-activity relationship and molecular graphics analysis of hydrophobic effects in the interactions of inhibitors with alcohol dehydrogenase
inferredcites →https://doi.org/10.1021/jm00334a001openalex-snapshot
A Mathematical Contribution to Structure-Activity Studies
inferredcites →https://doi.org/10.1021/jm00377a009openalex-snapshot
Structure-activity relationship of the ficin hydrolysis of phenyl hippurates. Comparison with papain, actinidin, and bromelain
inferredcites →https://doi.org/10.1021/jm011005popenalex-snapshot
5D-QSAR: The Key for Simulating Induced Fit?
inferredcites →https://doi.org/10.1021/jm020155copenalex-snapshot
Do Structurally Similar Molecules Have Similar Biological Activity?
inferredcites →https://doi.org/10.1021/jm0210616openalex-snapshot
Field Interaction and Geometrical Overlap: A New Simplex and Experimental Design Based Computational Procedure for Superposing Small Ligand Molecules
inferredcites →https://doi.org/10.1021/jm0497141openalex-snapshot
A Comparison of Methods for Modeling Quantitative Structure−Activity Relationships
inferredcites →https://doi.org/10.1021/jm050185qopenalex-snapshot
Combining Protein Modeling and 6D-QSAR. Simulating the Binding of Structurally Diverse Ligands to the Estrogen Receptor
inferredcites →https://doi.org/10.1021/jm060167oopenalex-snapshot
Do Structurally Similar Ligands Bind in a Similar Fashion?
inferredcites →https://doi.org/10.1021/jm8009958openalex-snapshot
Four-Dimensional Docking: A Fast and Accurate Account of Discrete Receptor Flexibility in Ligand Docking
inferredcites →https://doi.org/10.1021/jm900817uopenalex-snapshot
Three-Dimensional Pharmacophore Methods in Drug Discovery
inferredcites →https://doi.org/10.1021/jm970015gopenalex-snapshot
Comparative Molecular Field Analysis of Haptens Docked to the Multispecific Antibody IgE(Lb4)
inferredcites →https://doi.org/10.1021/jm9810607openalex-snapshot
Self-Organizing Molecular Field Analysis: A Tool for Structure−Activity Studies
inferredcites →https://doi.org/10.1021/jp902968mopenalex-snapshot
Efficient Free Energy Calculations for Compounds with Multiple Stable Conformations Separated by High Energy Barriers
inferredcites →https://doi.org/10.1038/nbt1519openalex-snapshot
Protein promiscuity and its implications for biotechnology
inferredcites →https://doi.org/10.1038/nsb1203-980openalex-snapshot
Announcing the worldwide Protein Data Bank
inferredcites →https://doi.org/10.1063/1.2888998openalex-snapshot
Hamiltonian replica exchange molecular dynamics using soft-core interactions
inferredcites →https://doi.org/10.1073/pnas.89.23.11322openalex-snapshot
Drug design by machine learning: the use of inductive logic programming to model the structure-activity relationships of trimethoprim analogues binding to dihydrofolate reductase.
inferredcites →https://doi.org/10.1073/pnas.93.1.438openalex-snapshot
Structure-activity relationships derived by machine learning: the use of atoms and their bond connectivities to predict mutagenicity by inductive logic programming.
inferredcites →https://doi.org/10.1080/10629360008033231openalex-snapshot
Partial Least Squares Modeling and Genetic Algorithm Optimization in Quantitative Structure-Activity Relationships
inferredcites →https://doi.org/10.1080/10629360902949567openalex-snapshot
How not to develop a quantitative structure–activity or structure–property relationship (QSAR/QSPR)
inferredcites →https://doi.org/10.1111/j.1747-0285.2007.00605.xopenalex-snapshot
Atomic Property Fields: Generalized 3D Pharmacophoric Potential for Automated Ligand Superposition, Pharmacophore Elucidation and 3D QSAR
inferredcites →https://doi.org/10.2751/jcac.2.29openalex-snapshot
Novel alignment method of small molecules using Hopfield Neural Network
inferredcites →https://doi.org/10.2751/jcac.3.63openalex-snapshot
Application of novel molecular alignment method using Hopfield Neural Network to 3D-QSAR
inferredcites →https://doi.org/10.3109/10799899909036635openalex-snapshot
Chance Favors the Prepared Mind - From Serendipity to Rational Drug Design

What points at this work

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

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GA(M)E-QSAR: A Novel, Fully Automatic Genetic-Algorithm-(Meta)-Ensembles Approach for Binary Classification in Ligand-Based Drug Design
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3D-QSAR as a Tool for Understanding and Improving Single-Site Polymerization Catalysts. A Review
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Identification of candidate drugs using tensor-decomposition-based unsupervised feature extraction in integrated analysis of gene expression between diseases and DrugMatrix datasets
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Planejamento e sintese de compostos potencialmente ligantes dos receptores 5-HT2C e H4
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Trends in application of advancing computational approaches in GPCR ligand discovery
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Drug candidate identification based on gene expression of treated cells using tensor decomposition-based unsupervised feature extraction for large-scale data
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Computational methods for the design of potent aromatase inhibitors
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Fragment Based Drug Design: From Experimental to Computational Approaches
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Structure-Based Virtual Screening in Tuberculosis Drug Discovery Pharmacological Constraints Failure Modes and Translational Lessons
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Recent Advances on P-Glycoprotein (ABCB1) Transporter Modelling with In Silico Methods
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Focused Chemical Libraries – Design and Enrichment: An Example of Protein–Protein Interaction Chemical Space
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