Cargando…

Machine Learning for Discovery of New ADORA Modulators

Adenosine (ADO) is an extracellular signaling molecule generated locally under conditions that produce ischemia, hypoxia, or inflammation. It is involved in modulating a range of physiological functions throughout the brain and periphery through the membrane-bound G protein-coupled receptors, called...

Descripción completa

Detalles Bibliográficos
Autores principales:	Puhl, Ana C., Gao, Zhan-Guo, Jacobson, Kenneth A., Ekins, Sean
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Pharmacology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9257522/ https://www.ncbi.nlm.nih.gov/pubmed/35814244 http://dx.doi.org/10.3389/fphar.2022.920643

Ejemplares similares

Machine Learning for Discovery of GSK3β Inhibitors
por: Vignaux, Patricia A., et al.
Publicado: (2020)

Alternative adenosine Receptor activation: The netrin-Adora2b link
por: Yuan, Xiaoyi, et al.
Publicado: (2022)

Association of the ADORA2A receptor and CD73 polymorphisms with epilepsy
por: Shi, Nan-Rui, et al.
Publicado: (2023)

Validation of Acetylcholinesterase Inhibition Machine Learning Models for Multiple Species
por: Vignaux, Patricia A., et al.
Publicado: (2023)

Limits of Prediction for Machine Learning in Drug Discovery
por: von Korff, Modest, et al.
Publicado: (2022)

Using Bibliometric Analysis and Machine Learning to Identify Compounds Binding to Sialidase-1
por: Klein, Jennifer J., et al.
Publicado: (2021)

Correction to “Using Bibliometric Analysis and Machine Learning to Identify Compounds Binding to Sialidase-1”
por: Klein, Jennifer J., et al.
Publicado: (2021)

Purinergic Signaling in Mast Cell Degranulation and Asthma
por: Gao, Zhan-Guo, et al.
Publicado: (2017)

Poria cum Radix Pini Rescues Barium Chloride-Induced Arrhythmia by Regulating the cGMP-PKG Signalling Pathway Involving ADORA1 in Zebrafish
por: Yang, Ning-Juan, et al.
Publicado: (2021)

ADORA2A variation and adenosine A(1) receptor availability in the human brain with a focus on anxiety-related brain regions: modulation by ADORA1 variation
por: Hohoff, Christa, et al.
Publicado: (2020)

Discovery of PL(pro) and M(pro) Inhibitors for SARS-CoV-2
por: Puhl, Ana C., et al.
Publicado: (2023)

Specific gene module pair-based target identification and drug discovery
por: Li, Peng, et al.
Publicado: (2023)

Association of ADORA1 rs2228079 and ADORA2A rs5751876 Polymorphisms with Gilles de la Tourette Syndrome in the Polish Population
por: Janik, Piotr, et al.
Publicado: (2015)

The Association of ADORA2A and ADORA2B Polymorphisms with the Risk and Severity of Chronic Heart Failure: A Case-Control Study of a Northern Chinese Population
por: Zhai, Ya-Jing, et al.
Publicado: (2015)

Introduction to the BioChemical Library (BCL): An Application-Based Open-Source Toolkit for Integrated Cheminformatics and Machine Learning in Computer-Aided Drug Discovery
por: Brown, Benjamin P., et al.
Publicado: (2022)

Integrating Machine Learning-Based Virtual Screening With Multiple Protein Structures and Bio-Assay Evaluation for Discovery of Novel GSK3β Inhibitors
por: Zhu, Jingyu, et al.
Publicado: (2020)

Cardioprotective role of APIP in myocardial infarction through ADORA2B
por: Lim, Bitna, et al.
Publicado: (2019)

The resurgence of the Adora2b receptor as an immunotherapeutic target in pancreatic cancer
por: Strickland, Lincoln N., et al.
Publicado: (2023)

Machine learning models for rat multigeneration reproductive toxicity prediction
por: Liu, Jie, et al.
Publicado: (2022)

Machine Learning-Based Prediction Method for Tremors Induced by Tacrolimus in the Treatment of Nephrotic Syndrome
por: Shao, Bing, et al.
Publicado: (2022)

Navigating bioactivity space in anti-tubercular drug discovery through the deployment of advanced machine learning models and cheminformatics tools: a molecular modeling based retrospective study
por: Bhowmik, Ratul, et al.
Publicado: (2023)

From Genome to Drugs: New Approaches in Antimicrobial Discovery
por: Serral, Federico, et al.
Publicado: (2021)

Machine Learning in Antibacterial Drug Design
por: Jukič, Marko, et al.
Publicado: (2022)

Machine Learning Models and Pathway Genome Data Base for Trypanosoma cruzi Drug Discovery
por: Ekins, Sean, et al.
Publicado: (2015)

A Machine Learning Strategy for Drug Discovery Identifies Anti-Schistosomal Small Molecules
por: Zorn, Kimberley M., et al.
Publicado: (2021)

Identification of Novel Antibacterials Using Machine Learning Techniques
por: Ivanenkov, Yan A., et al.
Publicado: (2019)

New Hypoglycemic Drugs: Combination Drugs and Targets Discovery
por: Ni, Xiayun, et al.
Publicado: (2022)

Combining Metabolite-Based Pharmacophores with Bayesian Machine Learning Models for Mycobacterium tuberculosis Drug Discovery
por: Ekins, Sean, et al.
Publicado: (2015)

Pruned Machine Learning Models to Predict Aqueous Solubility
por: Perryman, Alexander L., et al.
Publicado: (2020)

AMTDB: A comprehensive database of autophagic modulators for anti-tumor drug discovery
por: Fu, Jiahui, et al.
Publicado: (2022)

Machine learning-driven new material discovery
por: Cai, Jiazhen, et al.
Publicado: (2020)

An individualized medication model of sodium valproate for patients with bipolar disorder based on machine learning and deep learning techniques
por: Zheng, Ping, et al.
Publicado: (2022)

Predicting Drug-Induced Liver Injury Using Machine Learning on a Diverse Set of Predictors
por: Adeluwa, Temidayo, et al.
Publicado: (2021)

Big data- and machine learning-based analysis of a global pharmacovigilance database enables the discovery of sex-specific differences in the safety profile of dual IL4/IL13 blockade
por: Sharif, Kassem, et al.
Publicado: (2023)

Discovery of New Inhibitors of Toxoplasma gondii via the Pathogen Box
por: Spalenka, Jérémy, et al.
Publicado: (2018)

Editorial: New Paradigms in Neuroscience and Related Targets for Drug Discovery
por: Salomone, Salvatore
Publicado: (2020)

Organoids and Microphysiological Systems: New Tools for Ophthalmic Drug Discovery
por: Bai, Jing, et al.
Publicado: (2020)

The Impact of Genetic Variations in ADORA2A in the Association between Caffeine Consumption and Sleep
por: Erblang, Mégane, et al.
Publicado: (2019)

ADORA2A C Allele Carriers Exhibit Ergogenic Responses to Caffeine Supplementation
por: Grgic, Jozo, et al.
Publicado: (2020)

Editorial: The Potential of Machine Learning in Pharmacogenetics, Pharmacogenomics and Pharmacoepidemiology
por: Garcia-Agundez, Augusto, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_2utt4ud4oc18ve1ahrog6hbsfa