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Anti-Cancer Agents in Medicinal Chemistry(1)
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scopus(5)
A further development of the QNAR model to pbkp_redict the cellular uptake of nanoparticles by pancreatic cancer cells
ArticleAbstract: Nanotechnology has led to the development of new nanomaterials with unique properties and a wide varPalabras claves:Multiple linear regression method (MLR), Nanomaterials, Quantitative Nanostructure–Activity relationship (QNAR), Radial basis function neural network (RBFNN)Autores:Luan F., Maykel Cruz-Monteagudo, Natalia Dias Soeiro Cordeiro M., Tang L., Zhang L., Zhang S.Fuentes:scopusA ligand-based approach for the in silico discovery of multi-target inhibitors for proteins associated with HIV infection
ArticleAbstract: Acquired immunodeficiency syndrome (AIDS) is a dangerous disease, which damages the immune system cePalabras claves:Autores: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:scopusSilico discovery and virtual screening of multi-target inhibitors for proteins in mycobacterium tuberculosis
ArticleAbstract: Mycobacterium tuberculosis (MTB) is the principal pathogen which causes tuberculosis (TB), a diseasePalabras claves:Anti-TB activity, bioinformatics, chemoinformatics, Fragment contributions, Inhibitors, linear discriminant analysis, mt-QSAR, Protein sequenceAutores: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