pkCSM: Predicting Small-Molecule Pharmacokinetic and Toxicity Properties Using Graph-Based Signatures
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Summary
A novel approach (pkCSM) which uses graph-based signatures to develop predictive models of central ADMET properties for drug development and performs as well or better than current methods.
- Type
- article
- Published
- 2015-04-10
- Cited by
- 5,067
- References
- 85
- Access
- Open access
- OpenAlex
- https://openalex.org/W2009867031
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:12305064
Keywords
Pharmacokinetics, Chemistry, Toxicity, Attrition, Graph
References
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- admetSAR: A Comprehensive Source and Free Tool for Assessment of Chemical ADMET Properties
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- DESIGN, IN-SILICO DOCKING AND PREDICTIVE ADME PROPERTIES OF SOME THIAZOLIDINE-2, 4-DIONES DERIVATIVES AS PPARγ MODULATORS
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- CSM-lig: a web server for assessing and comparing protein–small molecule affinities
- Discovery of ERBB3 inhibitors for non-small cell lung cancer (NSCLC) via virtual screening
- mCSM-AB: a web server for predicting antibody–antigen affinity changes upon mutation with graph-based signatures
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- Molecular docking, MM/GBSA and 3D-QSAR studies on EGFR inhibitors
- Discovery and development of natural product oridonin-inspired anticancer agents
- Structure-Based Design of 3-(4-Aryl-1H-1,2,3-triazol-1-yl)-Biphenyl Derivatives as P2Y14 Receptor Antagonists
- mCSM-lig: quantifying the effects of mutations on protein-small molecule affinity in genetic disease and emergence of drug resistance
- Variation in Human Cytochrome P-450 Drug-Metabolism Genes: A Gateway to the Understanding of Plasmodium vivax Relapses
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- Gliptins in managing diabetes - Reviewing computational strategy.
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