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Anti-Cancer Agents in Medicinal Chemistry(1)
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scopus(7)
3D-QSAR methodologies and molecular modeling in bioinformatics for the search of novel anti-HIV therapies: Rational design of entry inhibitors
ReviewAbstract: Human immunodeficiency virus (HIV) is the responsible causal agent of acquired immunodeficiency syndPalabras claves:3D-QSAR, Anti-HIV, CCR5, CXCR4, Fragments, Gp120, Homology modeling, linear discriminant analysis, Molecular docking, QSAR, quantitative contributionsAutores:Alejandro Speck-Planche, Kleandrova V.V., Natalia Dias Soeiro Cordeiro M., Scotti M.T.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: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: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:scopusPtml modeling for alzheimer’s disease: Design and pbkp_rediction of virtual multi-target inhibitors of GSK3B, HDAC1, and HDAC6
ArticleAbstract: Background: Alzheimer’s disease is characterized by a progressive pattern of cognitive and functionaPalabras claves:Alzheimer's, Box-Jenkins approach, Molecular fragment, multi-target, PTML-ANN model, virtual designAutores:Alejandro Speck-Planche, Kleandrova V.V.Fuentes:scopus