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Anti-Cancer Agents in Medicinal Chemistry(1)
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scopus(5)
Abelson tyrosine-protein kinase 1 as principal target for drug discovery against leukemias role of the current computer-aided drug design methodologies
ArticleAbstract: The discovery of anti-cancer agents is an area which continues in accelerated expansion. Leukemias (Palabras claves:artificial neural networks, Fragments, In silico design, Inhibitors, Kinase, Leukemias, linear discriminant analysis, Molecular docking, QSAR, quantitative contributionsAutores:Alejandro Speck-Planche, Luan F., Natalia Dias Soeiro Cordeiro M.Fuentes:scopusFragment-based QSAR model toward the selection of versatile anti-sarcoma leads
ArticleAbstract: A sarcoma is a type of cancer which is originated from the connective tissue cells. With the time, sPalabras claves:Anti-sarcoma activity, Fragments, linear discriminant analysis, Multi-target QSARAutores: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:scopus