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Application of the Novel Molecular Alignment Method Using the Hopfield Neural Network to 3D-QSAR

https://doi.org/10.1021/ci030005q
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What this work says

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

inferredcites →https://doi.org/10.1002/1521-3838(200004)19:2<127::aid-qsar127>3.0.co;2-popenalex-snapshot
Comparative Molecular Field Analysis of Selective Cyclooxygenase-2 (COX-2) Inhibitors
inferredcites →https://doi.org/10.1007/bf00339943openalex-snapshot
“Neural” computation of decisions in optimization problems
inferredcites →https://doi.org/10.1016/s0893-6080(00)00012-5openalex-snapshot
Improving local minima of Hopfield networks with augmented Lagrange multipliers for large scale TSPs
inferredcites →https://doi.org/10.1021/ci9900682openalex-snapshot
Multiple Flexible Alignment with SEAL: A Study of Molecules Acting on the Colchicine Binding Site
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/jm0002634openalex-snapshot
Flexible Alignment of Small Molecules
inferredcites →https://doi.org/10.1023/a:1008011422113openalex-snapshot
Estimation of active conformations of drugs by a new molecular superposing procedure
inferredcites →https://doi.org/10.1023/a:1008194019144openalex-snapshot
Computational methods for the structural alignment of molecules
inferredcites →https://doi.org/10.1080/10629369808039143openalex-snapshot
3D Structural Information: From Property Prediction to Substructure Recognition with Neural Networks
inferredcites →https://doi.org/10.2751/jcac.1.8openalex-snapshot
Selection of Bioactive Conformations and Alignment Rules by 4way PLS Analysis

What points at this work

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

inferred← citeshttps://doi.org/10.1002/chin.200350232openalex-snapshot
Application of the Novel Molecular Alignment Method Using the Hopfield Neural Network to 3D‐QSAR.
inferred← citeshttps://doi.org/10.1002/minf.201700054openalex-snapshot
Energy‐based Neural Networks as a Tool for Harmony‐based Virtual Screening
inferred← citeshttps://doi.org/10.1002/widm.1052openalex-snapshot
An overview of the use of neural networks for data mining tasks
inferred← citeshttps://doi.org/10.1007/3-540-32370-8_34openalex-snapshot
Neurocomputing for Certain Bioinformatics Tasks
inferred← citeshttps://doi.org/10.1007/978-1-60327-101-1_8openalex-snapshot
Neural Networks in Building QSAR Models
inferred← citeshttps://doi.org/10.1007/s00894-007-0251-2openalex-snapshot
Pattern recognition based on color-coded quantum mechanical surfaces for molecular alignment
inferred← citeshttps://doi.org/10.1016/j.jmgm.2007.03.002openalex-snapshot
Three-dimensional QSAR of HPPD inhibitors, PSA inhibitors, and anxiolytic agents: Effect of tautomerism on the CoMFA models
inferred← citeshttps://doi.org/10.1021/acs.jcim.4c01871openalex-snapshot
Enumeration Approach to Atom-to-Atom Mapping Accelerated by Ising Computing
inferred← citeshttps://doi.org/10.1021/acs.jpcc.0c01106openalex-snapshot
Optimization of Work Function via Bayesian Machine Learning Combined with First-Principles Calculation
inferred← citeshttps://doi.org/10.1049/ip-cds:20045051openalex-snapshot
Bioinformatics in neurocomputing framework
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/10.4018/978-1-59904-996-0.ch018openalex-snapshot
Dynamics of Neural Networks as Nonlinear Systems with Several Equilibria
inferred← citeshttps://doi.org/10.5772/51275openalex-snapshot
Applications of Artificial Neural Networks in Chemical Problems
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