Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Marlene T Kim

Showing results (1-10 of 15) with videos related to

Pageof 2
Sort By:
Pharmaceutical Research|April 12, 2015
Developing Enhanced Blood-Brain Barrier Permeability Models: Integrating External Bio-Assay Data in QSAR ModelingWenyi Wang, Marlene T Kim, Alexander Sedykh, et al.
Methods in Molecular Biology (Clifton, N.J.)|August 13, 2016
Curating and Preparing High-Throughput Screening Data for Quantitative Structure-Activity Relationship ModelingMarlene T Kim, Wenyi Wang, Alexander Sedykh, et al.
Frontiers in Environmental Science|September 20, 2016
Predictive Modeling of Estrogen Receptor Binding Agents Using Advanced Cheminformatics Tools and Massive Public DataKathryn Ribay, Marlene T Kim, Wenyi Wang, et al.
Pharmaceutical Research|December 6, 2013
Critical evaluation of human oral bioavailability for pharmaceutical drugs by using various cheminformatics approachesMarlene T Kim, Alexander Sedykh, Suman K Chakravarti, et al.
Chemical Research in Toxicology|September 9, 2014
Big data in chemical toxicity research: the use of high-throughput screening assays to identify potential toxicantsHao Zhu, Jun Zhang, Marlene T Kim, et al.
Plos One|May 26, 2018
Predicting opioid receptor binding affinity of pharmacologically unclassified designer substances using molecular dockingChristopher R Ellis, Naomi L Kruhlak, Marlene T Kim, et al.
Frontiers in Pharmacology|November 7, 2022
Development of QSAR models to predict blood-brain barrier permeabilitySadegh Faramarzi, Marlene T Kim, Donna A Volpe, et al.
Regulatory Toxicology and Pharmacology : RTP|October 7, 2019
Transitioning to composite bacterial mutagenicity models in ICH M7 (Q)SAR analysesCurran Landry, Marlene T Kim, Naomi L Kruhlak, et al.
Bioinformatics (Oxford, England)|February 8, 2017
CIIPro: a new read-across portal to fill data gaps using public large-scale chemical and biological dataDaniel P Russo, Marlene T Kim, Wenyi Wang, et al.
Clinical Pharmacology and Therapeutics|April 9, 2019
Assessing the Structural and Pharmacological Similarity of Newly Identified Drugs of Abuse to Controlled Substances Using Public Health Assessment via Structural EvaluationChristopher R Ellis, Rebecca Racz, Naomi L Kruhlak, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Pharmaceutical Research|April 12, 2015
Developing Enhanced Blood-Brain Barrier Permeability Models: Integrating External Bio-Assay Data in QSAR ModelingWenyi Wang, Marlene T Kim, Alexander Sedykh, et al.
Methods in Molecular Biology (Clifton, N.J.)|August 13, 2016
Curating and Preparing High-Throughput Screening Data for Quantitative Structure-Activity Relationship ModelingMarlene T Kim, Wenyi Wang, Alexander Sedykh, et al.
Frontiers in Environmental Science|September 20, 2016
Predictive Modeling of Estrogen Receptor Binding Agents Using Advanced Cheminformatics Tools and Massive Public DataKathryn Ribay, Marlene T Kim, Wenyi Wang, et al.
Pharmaceutical Research|December 6, 2013
Critical evaluation of human oral bioavailability for pharmaceutical drugs by using various cheminformatics approachesMarlene T Kim, Alexander Sedykh, Suman K Chakravarti, et al.
Chemical Research in Toxicology|September 9, 2014
Big data in chemical toxicity research: the use of high-throughput screening assays to identify potential toxicantsHao Zhu, Jun Zhang, Marlene T Kim, et al.
Plos One|May 26, 2018
Predicting opioid receptor binding affinity of pharmacologically unclassified designer substances using molecular dockingChristopher R Ellis, Naomi L Kruhlak, Marlene T Kim, et al.
Frontiers in Pharmacology|November 7, 2022
Development of QSAR models to predict blood-brain barrier permeabilitySadegh Faramarzi, Marlene T Kim, Donna A Volpe, et al.
Regulatory Toxicology and Pharmacology : RTP|October 7, 2019
Transitioning to composite bacterial mutagenicity models in ICH M7 (Q)SAR analysesCurran Landry, Marlene T Kim, Naomi L Kruhlak, et al.
Bioinformatics (Oxford, England)|February 8, 2017
CIIPro: a new read-across portal to fill data gaps using public large-scale chemical and biological dataDaniel P Russo, Marlene T Kim, Wenyi Wang, et al.
Clinical Pharmacology and Therapeutics|April 9, 2019
Assessing the Structural and Pharmacological Similarity of Newly Identified Drugs of Abuse to Controlled Substances Using Public Health Assessment via Structural EvaluationChristopher R Ellis, Rebecca Racz, Naomi L Kruhlak, et al.
Pageof 2