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Modeling Complex Metabolic Reactions, Ecological Systems, and Financial and Legal Networks with MIANN Models Based on Markov-Wiener Node Descriptors

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

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Handbook of Molecular Descriptors
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Molecular Descriptors for Chemoinformatics
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Complexity Analysis of Yeast Proteome Network
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Quantum‐connectivity descriptors in modeling solubility of environmentally important organic compounds
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Correlation between components of the Wiener index and partition coefficients of hydrocarbons
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Application of Graph Theory: Relationship of Eccentric Connectivity Index and Wiener's Index with Anti-inflammatory Activity
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Pajek— Analysis and Visualization of Large Networks
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Complexity in Chemistry, Biology, and Ecology
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Virtual Computational Chemistry Laboratory – Design and Description
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Topological models for prediction of anti-inflammatory activity of N-arylanthranilic acids
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Topological model for the prediction of MRP1 inhibitory activity of pyrrolopyrimidines and templates derived from pyrrolopyrimidine
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New Markov–Shannon Entropy models to assess connectivity quality in complex networks: From molecular to cellular pathway, Parasite–Host, Neural, Industry, and Legal–Social networks
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Complex networks: Structure and dynamics
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Structural Determination of Paraffin Boiling Points
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inferred← citeshttps://doi.org/10.3389/fmicb.2017.01216openalex-snapshot
Experimental Study and ANN Dual-Time Scale Perturbation Model of Electrokinetic Properties of Microbiota
inferred← citeshttps://doi.org/10.4155/fmc.14.136openalex-snapshot
Chemoinformatics for Medicinal Chemistry: In Silico Model to Enable the Discovery of Potent and Safer Anti-Cocci Agents
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