Comparison of Quantitative and Qualitative (Q)SAR Models Created for the Prediction of Ki and IC50 Values of Antitarget Inhibitors
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Comparison of Quantitative and Qualitative (Q)SAR Models Created for the Prediction of Ki and IC50 Values of Antitarget Inhibitors
Authors
Keywords
-
Journal
Frontiers in Pharmacology
Volume 9, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2018-10-10
DOI
10.3389/fphar.2018.01136
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Transfer and Multi-task Learning in QSAR Modeling: Advances and Challenges
- (2018) Rodolfo S. Simões et al. Frontiers in Pharmacology
- In silico assessment of adverse drug reactions and associated mechanisms
- (2016) Sergey M. Ivanov et al. DRUG DISCOVERY TODAY
- Trust, but Verify II: A Practical Guide to Chemogenomics Data Curation
- (2016) Denis Fourches et al. Journal of Chemical Information and Modeling
- QSAR Modeling and Prediction of Drug–Drug Interactions
- (2016) Alexey V. Zakharov et al. MOLECULAR PHARMACEUTICS
- The ChEMBL database in 2017
- (2016) Anna Gaulton et al. NUCLEIC ACIDS RESEARCH
- PubChem BioAssay: 2017 update
- (2016) Yanli Wang et al. NUCLEIC ACIDS RESEARCH
- Pharmacogenetics and Predictive Testing of Drug Hypersensitivity Reactions
- (2016) Ruwen Böhm et al. Frontiers in Pharmacology
- Quantitative analysis of structure-activity relationships of tetrahydro-2H-isoindole cyclooxygenase-2 inhibitors
- (2015) V. R. Khayrullina et al. BIOCHEMISTRY-MOSCOW
- Improved Chemical Structure–Activity Modeling Through Data Augmentation
- (2015) Isidro Cortes-Ciriano et al. Journal of Chemical Information and Modeling
- Pred-hERG: A Novel web-Accessible Computational Tool for Predicting Cardiac Toxicity
- (2015) Rodolpho C. Braga et al. Molecular Informatics
- WITHDRAWN—a resource for withdrawn and discontinued drugs
- (2015) Vishal B. Siramshetty et al. NUCLEIC ACIDS RESEARCH
- Prediction of the Biological Activity Spectra of Organic Compounds Using the Pass Online Web Resource
- (2014) D. A. Filimonov et al. Chemistry of Heterocyclic Compounds
- Improving the Use of Ranking in Virtual Screening against HIV-1 Integrase with Triangular Numbers and Including Ligand Profiling with Antitargets
- (2014) Alfonso T. García-Sosa et al. Journal of Chemical Information and Modeling
- Prediction of binding affinity and efficacy of thyroid hormone receptor ligands using QSAR and structure-based modeling methods
- (2014) Regina Politi et al. TOXICOLOGY AND APPLIED PHARMACOLOGY
- Exploratory toxicology as an integrated part of drug discovery. Part I: Why and how
- (2013) Jorrit J. Hornberg et al. DRUG DISCOVERY TODAY
- Quantitative Prediction of Antitarget Interaction Profiles for Chemical Compounds
- (2012) Alexey V. Zakharov et al. CHEMICAL RESEARCH IN TOXICOLOGY
- Reducing safety-related drug attrition: the use of in vitro pharmacological profiling
- (2012) Joanne Bowes et al. NATURE REVIEWS DRUG DISCOVERY
- QSAR Modelling of Rat Acute Toxicity on the Basis of PASS Prediction
- (2011) Alexey Lagunin et al. Molecular Informatics
- QNA-based ‘Star Track’ QSAR approach
- (2009) D.A. Filimonov et al. SAR AND QSAR IN ENVIRONMENTAL RESEARCH
- Computer-aided prediction of QT-prolongation1
- (2008) O. Filz et al. SAR AND QSAR IN ENVIRONMENTAL RESEARCH
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started