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Designing Molecules with Specific Properties from Intercommunicating Hybrid Systems

https://doi.org/10.1021/ci960022y
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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/etc.5620060704openalex-snapshot
STRUCTURAL FEATURES ASSOCIATED WITH DEGRADABLE AND PERSISTENT CHEMICALS
inferredcites →https://doi.org/10.1002/etc.5620110502openalex-snapshot
PREDICTIVE MODEL FOR AEROBIC BIODEGRADABILITY DEVELOPED FROM A FILE OF EVALUATED BIODEGRADATION DATA
inferredcites →https://doi.org/10.1002/qsar.19930120108openalex-snapshot
New Trends in Structure‐Biodegradability Relationships
inferredcites →https://doi.org/10.1016/0147-6513(89)90019-5openalex-snapshot
Expert systems survey on biodegradation of xenobiotic chemicals
inferredcites →https://doi.org/10.1016/0160-4120(91)90297-4openalex-snapshot
Practical applications of quantitative structure-activity relationships (QSAR) in environmental chemistry and toxicology
inferredcites →https://doi.org/10.1016/0952-1976(95)90014-4openalex-snapshot
Intelligent hybrid systems
inferredcites →https://doi.org/10.1016/b978-0-12-213810-2.x5000-2openalex-snapshot
Genetic Algorithms in Molecular Modeling
inferredcites →https://doi.org/10.1016/b978-0-12-213815-7.x5000-6openalex-snapshot
Neural Networks in QSAR and Drug Design
inferredcites →https://doi.org/10.1016/c2013-0-08304-1openalex-snapshot
Readings in Fuzzy Sets for Intelligent Systems
inferredcites →https://doi.org/10.1017/9781009072205.008openalex-snapshot
Optimization for Machine Learning
inferredcites →https://doi.org/10.1021/es00052a018openalex-snapshot
Group contribution method for predicting probability and rate of aerobic biodegradation
inferredcites →https://doi.org/10.1080/10629369308028829openalex-snapshot
Estimating Pesticide Field Half-lives from a Backpropagation Neural Network

What points at this work

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

inferred← citeshttps://doi.org/10.1002/(sici)1098-1128(199905)19:3<249::aid-med4>3.0.co;2-0openalex-snapshot
Application of neural networks in structure-activity relationships
inferred← citeshttps://doi.org/10.1002/0470845015.cga004openalex-snapshot
Genetic and Evolutionary Algorithms
inferred← citeshttps://doi.org/10.1002/0470845015.cqa006openalex-snapshot
Environmental Chemistry: QSAR
inferred← citeshttps://doi.org/10.1002/9780470125939.ch2openalex-snapshot
Artificial Neural Networks and Their use in Chemistry
inferred← citeshttps://doi.org/10.1002/9783527613168.ch4openalex-snapshot
De Novo Molecular Design
inferred← citeshttps://doi.org/10.1002/qsar.200320004openalex-snapshot
Development of a Genetic Algorithm to Design and Identify Peptides that can Cross the Blood‐Brain Barrier
inferred← citeshttps://doi.org/10.1007/978-1-4419-0197-2_1openalex-snapshot
Artificial Neural Network Modeling of the Environmental Fate and Ecotoxicity of Chemicals
inferred← citeshttps://doi.org/10.1007/978-1-62703-059-5_1openalex-snapshot
Methods for Building QSARs
inferred← citeshttps://doi.org/10.1016/s0040-4020(01)00562-2openalex-snapshot
gasp: a computer program to generate automatically polycyclic structures
inferred← citeshttps://doi.org/10.1016/s0079-6107(98)00026-1openalex-snapshot
Artificial neural networks for computer-based molecular design
inferred← citeshttps://doi.org/10.1016/s0223-5234(99)80052-xopenalex-snapshot
Neural networks in drug discovery: have they lived up to their promise?
inferred← citeshttps://doi.org/10.1016/s0922-3487(03)23002-1openalex-snapshot
Hybrid genetic algorithms
inferred← citeshttps://doi.org/10.1016/s1570-7946(03)80007-xopenalex-snapshot
Genetic Algorithms Based CAMD
inferred← citeshttps://doi.org/10.1021/ci034290popenalex-snapshot
A Graph-Based Genetic Algorithm and Its Application to the Multiobjective Evolution of Median Molecules
inferred← citeshttps://doi.org/10.1023/a:1014389729000openalex-snapshot
A genetic algorithm for structure-based de novo design
inferred← citeshttps://doi.org/10.1023/a:1021928016359openalex-snapshot
Genetic algorithm for the design of molecules with desired properties
inferred← citeshttps://doi.org/10.1039/d4sc02934hopenalex-snapshot
Augmenting genetic algorithms with machine learning for inverse molecular design
inferred← citeshttps://doi.org/10.1109/cibcb.2005.1594906openalex-snapshot
Neuro-fuzzy Prediction of Biological Activity and Rule Extraction for HIV-1 Protease Inhibitors
inferred← citeshttps://doi.org/10.1109/cibcb.2014.6845505openalex-snapshot
Bayesian ARTMAP prediction of biological activities for potential HIV-1 protease inhibitors using a small molecular dataset
inferred← citeshttps://doi.org/10.1109/iama.2011.6049004openalex-snapshot
A fuzzy based approach for prediction of biological activities of HIV -1 protease inhibitor compounds
inferred← citeshttps://doi.org/10.1109/ijcnn.2006.1716622openalex-snapshot
An Integrated Soft Computing Approach for Predicting Biological Activity of Potential HIV-1 Protease Inhibitors
inferred← citeshttps://doi.org/10.1109/tcbb.2009.50openalex-snapshot
Fuzzy ARTMAP Prediction of Biological Activities for Potential HIV-1 Protease Inhibitors Using a Small Molecular Data Set
inferred← citeshttps://doi.org/10.1109/tcbb.2010.100openalex-snapshot
EvoMD: An Algorithm for Evolutionary Molecular Design
inferred← citeshttps://doi.org/10.1385/mb:27:2:139openalex-snapshot
Neural Networks as Robust Tools in Drug Lead Discovery and Development
inferred← citeshttps://doi.org/10.2174/156802610790232305openalex-snapshot
Computational Approaches for Fragment-Based and De Novo Design
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