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Anti-Cancer Agents in Medicinal Chemistry(2)
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scopus(6)
Chemoinformatics in multi-target drug discovery for anti-cancer therapy: In silico design of potent and versatile anti-brain tumor agents
ArticleAbstract: A brain tumor (BT) constitutes a neoplasm located in the brain or the central spinal canal. The numbPalabras claves:Anti-BT activity, Atom-centered fragments, brain tumor, BT cell lines, chemoinformatics, Drug-receptor interactions, Fragment, Functional group counts, Linear additivity, linear discriminant analysis, Multi-target QSAR, quantitative contributions, ROC curve, Spectral moments, Substructural alertsAutores:Alejandro Speck-Planche, Kleandrova V.V., Luan F., Natalia Dias Soeiro Cordeiro M.Fuentes:scopusDiscovery of Anti-Alzheimer agents: Current Ligand-Based approaches toward the design of acetylcholinesterase inhibitors
ArticleAbstract: Alzheimer's disease (AD) is a neurodegenerative disorder characterized by progressive dementia and lPalabras claves:3D-QSAR, AChE inhibitors, Fragments, linear discriminant analysis, QSARAutores:Alejandro Speck-Planche, Luan F., Natalia Dias Soeiro Cordeiro M.Fuentes:scopusMulti-target drug discovery in anti-cancer therapy: Fragment-based approach toward the design of potent and versatile anti-prostate cancer agents
ArticleAbstract: Prostate cancer (PCa) is the second-leading cause of cancer deaths among men in the around the worldPalabras claves:Fragments, linear discriminant analysis, Multi-target QSAR, Prostate cancer, quantitative contributionsAutores:Alejandro Speck-Planche, Kleandrova V.V., Luan F., Natalia Dias Soeiro Cordeiro M.Fuentes:scopusUnified multi-target approach for the rational in silico design of anti-bladder cancer agents
ArticleAbstract: Bladder cancer (BLC) is a very dangerous and common disease which is characterized by an uncontrollePalabras claves:artificial neural networks, bladder cancer, Fragments, In silico design, linear discriminant analysis, Molecular descriptors, Mt- QSAR, quantitative contributionsAutores:Alejandro Speck-Planche, Kleandrova V.V., Luan F., Natalia Dias Soeiro Cordeiro M.Fuentes:scopusRational drug design for anti-cancer chemotherapy: Multi-target QSAR models for the in silico discovery of anti-colorectal cancer agents
ArticleAbstract: The discovery of new and more potent anti-cancer agents constitutes one of the most active fields ofPalabras claves:Anti-CRC activity, Artificial Neural Network, CRC cell lines, In silico design, linear discriminant analysis, mt-QSAR, quantitative contributionsAutores:Alejandro Speck-Planche, Kleandrova V.V., Luan F., Natalia Dias Soeiro Cordeiro M.Fuentes:scopusRole of Ligand-Based Drug Design methodologies toward the discovery of new anti-Alzheimer agents: Futures perspectives in fragment-based ligand design
ArticleAbstract: Alzheimer's disease (AD), a degenerative disease affecting the brain, is the single most common sourPalabras claves:Alzheimer's disease (AD), Amyloid β-A4 protein, Anti-AD agents, Fragment-Based Drug Discovery, Glycogen synthase kinase-3β, Ligand-Based Drug Design, linear discriminant analysis, Monoamine Oxidase B, Multi-target inhibitors, QSAR, quantitative contributionsAutores:Alejandro Speck-Planche, Luan F., Natalia Dias Soeiro Cordeiro M.Fuentes:scopus