Mostrando 7 resultados de: 7
Filtros aplicados
Subtipo de publicación
Article(7)
Publisher
Anti-Cancer Agents in Medicinal Chemistry(2)
Bioorganic and Medicinal Chemistry(2)
Biomedicines(1)
European Journal of Pharmaceutical Sciences(1)
SAR and QSAR in Environmental Research(1)
Área temáticas
Farmacología y terapéutica(5)
Enfermedades(3)
Medicina y salud(2)
Fisiología humana(1)
Fisiología y materias afines(1)
Área de conocimiento
Descubrimiento de fármacos(4)
Relación cuantitativa estructura-actividad(2)
Bioquímica(1)
Simulación por computadora(1)
Origen
scopus(7)
Chemoinformatics in anti-cancer chemotherapy: Multi-target QSAR model for the in silico discovery of anti-breast cancer agents
ArticleAbstract: The discovery of new and more efficient anti-cancer chemotherapies is a field of research in expansiPalabras claves:Anti-BC activity, BC 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:scopusChemoinformatics 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:scopusCell-based multi-target QSAR model for design of virtual versatile inhibitors of liver cancer cell lines
ArticleAbstract: Liver cancers are one of the leading fatal diseases among malignant neoplasms. Current chemotherapeuPalabras claves:ANTICANCER, Artificial Neural Network, Fragment, Liver cancer, multi-target, QSAR, virtual designAutores:Alejandro Speck-Planche, Kleandrova V.V., Nayarisseri A., Scotti L., Scotti M.T.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:scopusPTML Modeling for Pancreatic Cancer Research: In Silico Design of Simultaneous Multi-Protein and Multi-Cell Inhibitors
ArticleAbstract: Pancreatic cancer (PANC) is a dangerous type of cancer that is a major cause of mortality worldwidePalabras claves:Caspase-1, cell line, Fragment, IGF1R, MLP, multi-target, pancreatic cancer, TNF-alpha, virtual designAutores:Alejandro Speck-Planche, Kleandrova V.V.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:scopus