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PARM: A Genetic Evolved Algorithm To Predict Bioactivity
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Genetic algorithms as a strategy for feature selection
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The computer program LUDI: A new method for the de novo design of enzyme inhibitors
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Comparative molecular field analysis (CoMFA). 1. Effect of shape on binding of steroids to carrier proteins
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p-σ-π Analysis. A Method for the Correlation of Biological Activity and Chemical Structure
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Receptor Surface Models. 1. Definition and Construction
inferredcites →https://doi.org/10.1021/jm00042a006openalex-snapshot
Genetically Evolved Receptor Models: A Computational Approach to Construction of Receptor Models
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Ligand‐Based Molecular Design Using Pseudoreceptors
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ChemInform Abstract: PARM: A Genetic Evolved Algorithm to Predict Bioactivity.
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Bond‐based 3D‐chiral linear indices: Theory and QSAR applications to central chirality codification
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Global Performance and Trend of QSAR/QSPR Research: A Bibliometric Analysis
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Applications of Bond‐Based 3D‐Chiral Quadratic Indices in QSAR Studies Related to Central Chirality Codification
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Application of PARM to Constructing and Comparing 5-HT1A and α1 Receptor Models
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5-HT1A Receptors Mapping by Conformational Analysis (2D NOESY/MM) and “Three Way Modelling” (HASL, CoMFA, PARM)
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Rough Sets for Selection of Molecular Descriptors to Predict Biological Activity of Molecules
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Rough Set-Based Feature Selection: Criteria of Max-Dependency, Max-Relevance, and Max-Significance
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Drug Discovery: An In Silico Approach
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3D-chiral Atom, Atom-type, and Total Non-stochastic and Stochastic Molecular Linear Indices and their Applications to Central Chirality Codification
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Side-chain conformational space analysis (SCSA): A multi conformation-based QSAR approach for modeling and prediction of protein–peptide binding affinities
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3D-chiral (2.5) atom-based TOMOCOMD-CARDD descriptors: theory and QSAR applications to central chirality codification
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Evolutionary Algorithms in Drug Design
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Three dimensional holographic vector of atomic interaction field (3D-HoVAIF)
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Pseudo receptor probes: A novel pseudo receptor-based QSAR method and application into studies on a new kind of selective vascular endothelial growth factor-2 receptor inhibitors
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Atom-based stochastic and non-stochastic 3D-chiral bilinear indices and their applications to central chirality codification
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Structure–activity relationship (SAR) studies of the tripos benchmark steroids
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Application of (quantitative) structure–activity relationships to progestagens: from serendipity to structure-based design
inferred← citeshttps://doi.org/10.1016/s1093-3263(00)00104-2openalex-snapshot
PARM: a practical utility for drug design
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QSAR Modeling Using Chirality Descriptors Derived from Molecular Topology
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Ligand intramolecular motions in ligand-protein interaction: ALPHA, a novel dynamic descriptor and a QSAR study with extended steroid benchmark dataset
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Pseudoreceptor models in drug design: bridging ligand- and receptor-based virtual screening
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Improving the performance of SOMFA by use of standard multivariate methods
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Parallel Implementation of the Global Optimization Algorithm Based on Uniform Distributional Design and Powell Method
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Rough Sets for Selection of Molecular Descriptors to Predict Biological Activity of Molecules
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Examining the predictive accuracy of the novel 3D N-linear algebraic molecular codifications on benchmark datasets
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Pseudoreceptor: Concept and an Overview
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3D-QSAR in Drug Design - A Review
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Reviewing Ligand-Based Rational Drug Design: The Search for an ATP Synthase Inhibitor
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