Precompetitive preclinical ADME/Tox data: set it free on the web to facilitate computational model building and assist drug development
about
Open PHACTS: semantic interoperability for drug discoveryLinking the Resource Description Framework to cheminformatics and proteochemometricsFirst Universities Allied for Essential Medicines (UAEM) Neglected Diseases and Innovation SymposiumWhy open drug discovery needs four simple rules for licensing data and modelsLooking back to the future: predicting in vivo efficacy of small molecules versus Mycobacterium tuberculosisOpen Source Bayesian Models. 1. Application to ADME/Tox and Drug Discovery DatasetsBigger data, collaborative tools and the future of predictive drug discoveryDispensing processes impact apparent biological activity as determined by computational and statistical analyses.Analysis and hit filtering of a very large library of compounds screened against Mycobacterium tuberculosis.Exploiting PubChem for Virtual Screening.A Database Developed with Information Extracted from Chemotherapy Drug Package Inserts to Enhance Future Prescriptions.A substrate pharmacophore for the human organic cation/carnitine transporter identifies compounds associated with rhabdomyolysis.BCRP Inhibition: from Data Collection to Ligand-Based Modeling.Modeling and predicting clinical efficacy for drugs targeting the tumor milieu.Collaborative drug discovery for More Medicines for Tuberculosis (MM4TB).Standardized workflows for increasing efficiency and productivity in discovery stage bioanalysis.In-silico designing of a potent analogue against HIV-1 Nef protein and protease by predicting its interaction network with host cell proteinsDiscovery of novel antimalarial compounds enabled by QSAR-based virtual screening.Role of open chemical data in aiding drug discovery and design.Comparison of Deep Learning With Multiple Machine Learning Methods and Metrics Using Diverse Drug Discovery Data Sets.Pharmacophore modeling, 3D-QSAR studies, and in-silico ADME prediction of pyrrolidine derivatives as neuraminidase inhibitors.OPERA models for predicting physicochemical properties and environmental fate endpoints.Current and Future Challenges for Collaborative Computational Technologies for the Life SciencesPioneering Use of the Cloud for Development of Collaborative Drug Discovery (CDD) DatabaseQSAR and Molecular Modeling Approaches for Prediction of Drug Metabolism
P2860
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P2860
Precompetitive preclinical ADME/Tox data: set it free on the web to facilitate computational model building and assist drug development
description
2010 nî lūn-bûn
@nan
2010 թուականին հրատարակուած գիտական յօդուած
@hyw
2010 թվականին հրատարակված գիտական հոդված
@hy
2010年の論文
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2010年論文
@yue
2010年論文
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2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
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name
Precompetitive preclinical ADM ...... ng and assist drug development
@ast
Precompetitive preclinical ADM ...... ng and assist drug development
@en
type
label
Precompetitive preclinical ADM ...... ng and assist drug development
@ast
Precompetitive preclinical ADM ...... ng and assist drug development
@en
prefLabel
Precompetitive preclinical ADM ...... ng and assist drug development
@ast
Precompetitive preclinical ADM ...... ng and assist drug development
@en
P2860
P356
P1433
P1476
Precompetitive preclinical ADM ...... ng and assist drug development
@en
P2860
P356
10.1039/B917760B
P577
2010-01-01T00:00:00Z