Compounds > lidocaine

lidocaine and perhexiline

lidocaine has been researched along with perhexiline in 8 studies

Research

Studies (8)

Timeframe	Studies, this research(%)	All Research%
pre-1990	1 (12.50)	18.7374
1990's	0 (0.00)	18.2507
2000's	2 (25.00)	29.6817
2010's	5 (62.50)	24.3611
2020's	0 (0.00)	2.80

Authors

Authors	Studies
Bleich, S; Gulbins, E; Kornhuber, J; Reichel, M; Terfloth, L; Tripal, P; Wiltfang, J	1
Choi, SS; Contrera, JF; Hastings, KL; Kruhlak, NL; Sancilio, LF; Weaver, JL; Willard, JM	1
Fisk, L; Greene, N; Naven, RT; Note, RR; Patel, ML; Pelletier, DJ	1
Glen, RC; Lowe, R; Mitchell, JB	1
Ekins, S; Williams, AJ; Xu, JJ	1
Sen, S; Sinha, N	1
Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K	1
Bergey, JL; McCallum, JD; Nocella, K	1

Reviews

1 review(s) available for lidocaine and perhexiline

Article	Year
DILIrank: the largest reference drug list ranked by the risk for developing drug-induced liver injury in humans. Drug discovery today, 2016, Volume: 21, Issue:4 Topics: Chemical and Drug Induced Liver Injury; Databases, Factual; Drug Labeling; Humans; Pharmaceutical Preparations; Risk	2016

Other Studies

7 other study(ies) available for lidocaine and perhexiline

Article	Year
Identification of new functional inhibitors of acid sphingomyelinase using a structure-property-activity relation model. Journal of medicinal chemistry, 2008, Jan-24, Volume: 51, Issue:2 Topics: Algorithms; Animals; Cell Line; Cell Line, Tumor; Chemical Phenomena; Chemistry, Physical; Enzyme Inhibitors; Humans; Hydrogen-Ion Concentration; Molecular Conformation; Quantitative Structure-Activity Relationship; Rats; Sphingomyelin Phosphodiesterase	2008
Development of a phospholipidosis database and predictive quantitative structure-activity relationship (QSAR) models. Toxicology mechanisms and methods, 2008, Volume: 18, Issue:2-3 Topics:	2008
Developing structure-activity relationships for the prediction of hepatotoxicity. Chemical research in toxicology, 2010, Jul-19, Volume: 23, Issue:7 Topics: Chemical and Drug Induced Liver Injury; Databases, Factual; Humans; Structure-Activity Relationship; Tetracyclines; Thiophenes	2010
Predicting phospholipidosis using machine learning. Molecular pharmaceutics, 2010, Oct-04, Volume: 7, Issue:5 Topics: Animals; Artificial Intelligence; Databases, Factual; Drug Discovery; Humans; Lipidoses; Models, Biological; Phospholipids; Support Vector Machine	2010
A predictive ligand-based Bayesian model for human drug-induced liver injury. Drug metabolism and disposition: the biological fate of chemicals, 2010, Volume: 38, Issue:12 Topics: Bayes Theorem; Chemical and Drug Induced Liver Injury; Humans; Ligands	2010
Predicting hERG activities of compounds from their 3D structures: development and evaluation of a global descriptors based QSAR model. European journal of medicinal chemistry, 2011, Volume: 46, Issue:2 Topics: Computer Simulation; Ether-A-Go-Go Potassium Channels; Humans; Molecular Structure; Organic Chemicals; Quantitative Structure-Activity Relationship	2011
Antiarrhythmic evaluation of verapamil, nifedipine, perhexiline and skf 525-A in four canine models of cardiac arrhythmias. European journal of pharmacology, 1981, Mar-26, Volume: 70, Issue:3 Topics: Animals; Anti-Arrhythmia Agents; Arrhythmias, Cardiac; Blood Pressure; Calcium; Dogs; Female; Heart Rate; Lidocaine; Male; Myocardial Contraction; Nifedipine; Perhexiline; Piperidines; Proadifen; Pyridines; Verapamil	1981