Home ›
Entities
› academia
› Prediction of Overall In Vitro Microsomal Stability of Drug Candidates Based on Molecular Modeling and Support Vector Machines. Case Study of Novel Arylpiperazines Derivatives
Prediction of Overall In Vitro Microsomal Stability of Drug Candidates Based on Molecular Modeling and Support Vector Machines. Case Study of Novel Arylpiperazines Derivatives
Research article (PLoS ONE, 2015) · cited 24× · AI/ML
Prediction of Overall In Vitro Microsomal Stability of Drug Candidates Based on Molecular Modeling and Support Vector Machines. Case Study of Novel Arylpiperazines Derivatives
Summary
Prediction of Overall In Vitro Microsomal Stability of Drug Candidates Based on Molecular Modeling and Support Vector Machines. Case Study of Novel Arylpiperazines Derivatives is a scholarly article[1].
Key Facts
Prediction of Overall In Vitro Microsomal Stability of Drug Candidates Based on Molecular Modeling and Support Vector Machines. Case Study of Novel Arylpiperazines Derivatives's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Prediction of Overall In Vitro Microsomal Stability of Drug Candidates Based on Molecular Modeling and Support Vector Machines. Case Study of Novel Arylpiperazines Derivatives. Retrieved May 24, 2026, from https://4ort.xyz/entity/prediction-of-overall-in-vitro-microsomal-stability-of-drug-candidates-based-on-molecular-modeling-and-support-vector-ma
MLA“Prediction of Overall In Vitro Microsomal Stability of Drug Candidates Based on Molecular Modeling and Support Vector Machines. Case Study of Novel Arylpiperazines Derivatives.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/prediction-of-overall-in-vitro-microsomal-stability-of-drug-candidates-based-on-molecular-modeling-and-support-vector-ma.
BibTeX@misc{4ortxyz_prediction-of-overall-in-vitro-microsomal-stability-of-drug-candidates-based-on-molecular-modeling-and-support-vector-ma_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Prediction of Overall In Vitro Microsomal Stability of Drug Candidates Based on Molecular Modeling and Support Vector Machines. Case Study of Novel Arylpiperazines Derivatives}}, year = {2026}, url = {https://4ort.xyz/entity/prediction-of-overall-in-vitro-microsomal-stability-of-drug-candidates-based-on-molecular-modeling-and-support-vector-ma}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Prediction of Overall In Vitro Microsomal Stability of Drug Candidates Based on Molecular Modeling and Support Vector Machines. Case Study of Novel Arylpiperazines Derivatives — https://4ort.xyz/entity/prediction-of-overall-in-vitro-microsomal-stability-of-drug-candidates-based-on-molecular-modeling-and-support-vector-ma (retrieved 2026-05-24)
