Topochemical Models for Prediction of Anti-HIV Activity of 4-Benzyl Pyridinone Derivatives
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Summary
Relationship between topochemical indices and anti-HIV activity of 4-Benzyl pyridinone derivatives has been investigated and suitable models offer vast potential for providing lead structures for the development of potent anti-hIV agents.
- Type
- article
- Published
- 2005-01-01
- Cited by
- 2
- References
- 43
- OpenAlex
- https://openalex.org/W1977792453
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:43548376
Keywords
Human immunodeficiency virus (HIV), Adjacency list, Chemistry, Topological index, Combinatorial chemistry
References
- Goodman & Gilman's The Pharmacological Basis of Therapeutics
- Predicting anti-HIV activity: computational approach using a novel topological descriptor
- Predicting anticonvulsant activity of benzamides/benzylamines: computational approach using topological descriptors
- New targets for inhibitors of HIV-1 replication
- Acids Extraction by Amine-Based Extractants: An Analysis of the Effect of Anion Concentration in the Aqueous Phase Using the Donnan Model
- Chemical Applications of Graph Theory: Part I. Fundamentals and Topological Indices.
- Topochemical models for prediction of cyclin-dependent kinase 2 inhibitory activity of indole-2-ones
- Phenethylthiazolethiourea (PETT) compounds, a new class of HIV-1 reverse transcriptase inhibitors. 1. Synthesis and basic structure-activity relationship studies of PETT analogs.
- Synthesis and biological properties of novel pyridinioalkanoyl thiolesters (PATE) as anti-HIV-1 agents that target the viral nucleocapsid protein zinc fingers.
- Rational Combinatorial Library Design. 1. Focus-2D: A New Approach to the Design of Targeted Combinatorial Chemical Libraries
- A novel approach for the virtual screening and rational design of anticancer compounds.
- Structure-Activity Study on Antiviral 5-Vinylpyrimidine Nucleoside Analogs Using Wiener's Topological Index
- Aqueous Solubility Prediction of Drugs Based on Molecular Topology and Neural Network Modeling
- Predicting anti-HIV activity of TIBO derivatives: a computational approach using a novel topological descriptor
- Models for the prediction of adenosine receptors binding activity of 4-amino[1,2,4]triazolo[4,3-a]quinoxalines
- 5-Alkyl-2-(alkylthio)-6-(2,6-dihalophenylmethyl)-3, 4-dihydropyrimidin-4(3H)-ones: novel potent and selective dihydro-alkoxy-benzyl-oxopyrimidine derivatives.
- Novel Chirality Descriptors Derived from Molecular Topology
- Eccentric Connectivity Index: A Novel Highly Discriminating Topological Descriptor for Structure-Property and Structure-Activity Studies
- Applications of combinatorial technologies to drug discovery. 1. Background and peptide combinatorial libraries.
- Eccentric distance sum: A novel graph invariant for predicting biological and physical properties
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