Jiansong Sheng, Ph.D.

Affiliations: 
NINDS National Institutes of Health, Bethesda, MD 
Area:
Synaptic Transmission
Google:
"Jiansong Sheng"
Mean distance: 14.74 (cluster 6)
 
SNBCP
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Publications

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Shen D, Zhang Q, Zhang Z, et al. (2020) Enhanced Dielectric and Hydrophobic Properties of Poly(vinylidene fluoride-trifluoroethylene)/TiO Nanowire Arrays Composite Film Surface Modified by Electrospinning. Polymers. 13
Tran PN, Sheng J, Randolph AL, et al. (2020) Mechanisms of QT prolongation by buprenorphine cannot be explained by direct hERG channel block. Plos One. 15: e0241362
Han X, Samieegohar M, Ridder BJ, et al. (2020) A general procedure to select calibration drugs for lab-specific validation and calibration of proarrhythmia risk prediction models: An illustrative example using the CiPA model. Journal of Pharmacological and Toxicological Methods. 106890
Ridder BJ, Leishman DJ, Bridgland-Taylor M, et al. (2020) Corrigendum to "A systematic strategy for estimating hERG block potency and its implications in a new cardiac safety paradigm" [Toxicology and Applied Pharmacology volume 394C (2020) 114961]. Toxicology and Applied Pharmacology. 114983
Ridder BJ, Leishman DJ, Bridgland-Taylor M, et al. (2020) A systematic strategy for estimating hERG block potency and its implications in a new cardiac safety paradigm. Toxicology and Applied Pharmacology. 114961
Wu M, Tran PN, Sheng J, et al. (2019) Drug potency on inhibiting late Na current is sensitive to gating modifier and current region where drug effects were measured. Journal of Pharmacological and Toxicological Methods. 106605
Li Z, Ridder BJ, Han X, et al. (2018) Assessment of an In Silico Mechanistic Model for Proarrhythmia Risk Prediction Under the CiPA Initiative. Clinical Pharmacology and Therapeutics
Dutta S, Chang KC, Beattie KA, et al. (2017) Corrigendum: Optimization of an In silico Cardiac Cell Model for Proarrhythmia Risk Assessment. Frontiers in Physiology. 8: 1025
Chang KC, Dutta S, Mirams GR, et al. (2017) Uncertainty Quantification Reveals the Importance of Data Variability and Experimental Design Considerations for in Silico Proarrhythmia Risk Assessment. Frontiers in Physiology. 8: 917
Dutta S, Chang KC, Beattie KA, et al. (2017) Optimization of an In silico Cardiac Cell Model for Proarrhythmia Risk Assessment. Frontiers in Physiology. 8: 616
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