Cargando…

Predicting new drug indications for prostate cancer: The integration of an in silico proteochemometric network pharmacology platform with patient‐derived primary prostate cells

BACKGROUND: Drug repurposing enables the discovery of potential cancer treatments using publically available data from over 4000 published Food and Drug Administration approved and experimental drugs. However, the ability to effectively evaluate the drug's efficacy remains a challenge. Impedime...

Descripción completa

Detalles Bibliográficos
Autores principales:	Naeem, Aisha, Dakshanamurthy, Sivanesan, Walthieu, Henry, Parasido, Erika, Avantaggiati, Maria, Tricoli, Lucas, Kumar, Deepak, Lee, Richard J., Feldman, Adam, Noon, Muhammad S., Byers, Stephen, Rodriguez, Olga, Albanese, Chris
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2020
Materias:	Original Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7540414/ https://www.ncbi.nlm.nih.gov/pubmed/32761925 http://dx.doi.org/10.1002/pros.24050

Ejemplares similares

Characterization of the effects of defined, multidimensional culture conditions on conditionally reprogrammed primary human prostate cells
por: Tricoli, Lucas, et al.
Publicado: (2017)

DrugGenEx-Net: a novel computational platform for systems pharmacology and gene expression-based drug repurposing
por: Issa, Naiem T., et al.
Publicado: (2016)

The induction of the p53 tumor suppressor protein bridges the apoptotic and autophagic signaling pathways to regulate cell death in prostate cancer cells
por: Ringer, Lymor, et al.
Publicado: (2014)

The p53 tumor suppressor protein protects against chemotherapeutic stress and apoptosis in human medulloblastoma cells
por: Waye, Sarah, et al.
Publicado: (2015)

A novel chemo-phenotypic method identifies mixtures of salpn, vitamin D3, and pesticides involved in the development of colorectal and pancreatic cancer
por: Issa, Naiem T., et al.
Publicado: (2022)

Regulation of Chemosensitivity in Human Medulloblastoma Cells by p53 and the PI3 Kinase Signaling Pathway
por: Naeem, Aisha, et al.
Publicado: (2022)

ES-Screen: A Novel Electrostatics-Driven Method for Drug Discovery Virtual Screening
por: Issa, Naiem T., et al.
Publicado: (2022)

Proteochemometric modeling of HIV protease susceptibility
por: Lapins, Maris, et al.
Publicado: (2008)

Proteochemometric modeling in a Bayesian framework
por: Cortes-Ciriano, Isidro, et al.
Publicado: (2014)

Unsupervised Representation Learning for Proteochemometric Modeling
por: Kim, Paul T., et al.
Publicado: (2021)

Clinicopathologic and prognostic significance of LGR5, a cancer stem cell marker in patients with colorectal cancer
por: Ihemelandu, Chukwuemeka, et al.
Publicado: (2019)

Retinoic Acid Mediates Regulation of Network Formation by COUP-TFII and VE-Cadherin Expression by TGFβ Receptor Kinase in Breast Cancer Cells
por: Prahalad, Priya, et al.
Publicado: (2010)

Linking the Resource Description Framework to cheminformatics and proteochemometrics
por: Willighagen, Egon L, et al.
Publicado: (2011)

Screening of selective histone deacetylase inhibitors by proteochemometric modeling
por: Wu, Dingfeng, et al.
Publicado: (2012)

Origin of aromatase inhibitory activity via proteochemometric modeling
por: Simeon, Saw, et al.
Publicado: (2016)

Application of fourier transform and proteochemometrics principles to protein engineering
por: Cadet, Frédéric, et al.
Publicado: (2018)

Proteochemometric Method for pIC50 Prediction of Flaviviridae
por: Singh, Divye, et al.
Publicado: (2022)

Unbiased descriptor and parameter selection confirms the potential of proteochemometric modelling
por: Freyhult, Eva, et al.
Publicado: (2005)

Prediction of the potency of mammalian cyclooxygenase inhibitors with ensemble proteochemometric modeling
por: Cortes-Ciriano, Isidro, et al.
Publicado: (2015)

Balancing Data on Deep Learning-Based Proteochemometric Activity Classification
por: Lopez-del Rio, Angela, et al.
Publicado: (2021)

Proteochemometric Modeling Identifies Chemically Diverse Norepinephrine Transporter Inhibitors
por: Bongers, Brandon J., et al.
Publicado: (2023)

Proteochemometric modelling coupled to in silico target prediction: an integrated approach for the simultaneous prediction of polypharmacology and binding affinity/potency of small molecules
por: Paricharak, Shardul, et al.
Publicado: (2015)

IntegralVac: A Machine Learning-Based Comprehensive Multivalent Epitope Vaccine Design Method
por: Suri, Sadhana, et al.
Publicado: (2022)

A New Hybrid Neural Network Deep Learning Method for Protein–Ligand Binding Affinity Prediction and De Novo Drug Design
por: Limbu, Sarita, et al.
Publicado: (2022)

Predicting Chemical Carcinogens Using a Hybrid Neural Network Deep Learning Method
por: Limbu, Sarita, et al.
Publicado: (2022)

Predicting Dose-Dependent Carcinogenicity of Chemical Mixtures Using a Novel Hybrid Neural Network Framework and Mathematical Approach
por: Limbu, Sarita, et al.
Publicado: (2023)

Applications of proteochemometrics - from species extrapolation to cell line sensitivity modelling
por: Cortes-Ciriano, Isidro, et al.
Publicado: (2015)

Predicting the binding type of compounds on the 4 adenosine receptors using proteochemometric models
por: van den Hoven, Olaf, et al.
Publicado: (2010)

A Unified Proteochemometric Model for Prediction of Inhibition of Cytochrome P450 Isoforms
por: Lapins, Maris, et al.
Publicado: (2013)

Identification of Allosteric Modulators of Metabotropic Glutamate 7 Receptor Using Proteochemometric Modeling
por: Tresadern, Gary, et al.
Publicado: (2017)

A New Epitope Selection Method: Application to Design a Multi-Valent Epitope Vaccine Targeting HRAS Oncogene in Squamous Cell Carcinoma
por: Savsani, Kush, et al.
Publicado: (2021)

Single-Cell and Bulk RNASeq Profiling of COVID-19 Patients Reveal Immune and Inflammatory Mechanisms of Infection-Induced Organ Damage
por: Bass, Alexandrea, et al.
Publicado: (2021)

Predicting Dose-Range Chemical Toxicity using Novel Hybrid Deep Machine-Learning Method
por: Limbu, Sarita, et al.
Publicado: (2022)

SARS-CoV-2 Omicron (BA.1 and BA.2) specific novel CD8+ and CD4+ T cell epitopes targeting spike protein
por: Parn, Simone, et al.
Publicado: (2022)

A Peptide Vaccine Design Targeting KIT Mutations in Acute Myeloid Leukemia
por: Kim, Minji, et al.
Publicado: (2023)

“Teaching old drugs to kill new bugs”: structure-based discovery of anti-SARS drugs
por: Rajnarayanan, Rajendram V., et al.
Publicado: (2004)

Proteochemometric Modeling of the Susceptibility of Mutated Variants of the HIV-1 Virus to Reverse Transcriptase Inhibitors
por: Junaid, Muhammad, et al.
Publicado: (2010)

An Analysis of Proteochemometric and Conformal Prediction Machine Learning Protein-Ligand Binding Affinity Models
por: Parks, Conor, et al.
Publicado: (2020)

Inhibition of the mitochondrial citrate carrier, Slc25a1, reverts steatosis, glucose intolerance, and inflammation in preclinical models of NAFLD/NASH
por: Tan, Mingjun, et al.
Publicado: (2020)

The SLC25A1-p53 mutant crosstalk
por: Albanese, Chris, et al.
Publicado: (2015)

Cannot write session to /tmp/vufind_sessions/sess_918lppj82fobeckq0iaj38d4f9