lidocaine has been researched along with flutamide in 13 studies
| Timeframe | Studies, this research(%) | All Research% |
|---|---|---|
| pre-1990 | 0 (0.00) | 18.7374 |
| 1990's | 0 (0.00) | 18.2507 |
| 2000's | 4 (30.77) | 29.6817 |
| 2010's | 9 (69.23) | 24.3611 |
| 2020's | 0 (0.00) | 2.80 |
| Authors | Studies |
|---|---|
| Doman, TN; McGovern, SL; Seidler, J; Shoichet, BK | 1 |
| Johans, C; Kinnunen, PK; Söderlund, T; Suomalainen, P | 1 |
| Ahlin, G; Artursson, P; Bergström, CA; Gustavsson, L; Karlsson, J; Larsson, R; Matsson, P; Norinder, U; Pedersen, JM | 1 |
| González-Díaz, H; Orallo, F; Quezada, E; Santana, L; Uriarte, E; Viña, D; Yáñez, M | 1 |
| Barnes, JC; Bradley, P; Day, NC; Fourches, D; Reed, JZ; Tropsha, A | 1 |
| García-Mera, X; González-Díaz, H; Prado-Prado, FJ | 1 |
| Fisk, L; Greene, N; Naven, RT; Note, RR; Patel, ML; Pelletier, DJ | 1 |
| Glen, RC; Lowe, R; Mitchell, JB | 1 |
| Afshari, CA; Eschenberg, M; Hamadeh, HK; Lee, PH; Lightfoot-Dunn, R; Morgan, RE; Qualls, CW; Ramachandran, B; Trauner, M; van Staden, CJ | 1 |
| Ekins, S; Williams, AJ; Xu, JJ | 1 |
| Afshari, CA; Chen, Y; Dunn, RT; Hamadeh, HK; Kalanzi, J; Kalyanaraman, N; Morgan, RE; van Staden, CJ | 1 |
| Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K | 1 |
| Athersuch, TJ; Bradshaw, PR; Butler, PJ; Dilworth, C; Gill, RU; Wilson, ID | 1 |
1 review(s) available for lidocaine and flutamide
| Article | Year |
|---|---|
DILIrank: the largest reference drug list ranked by the risk for developing drug-induced liver injury in humans.
Topics: Chemical and Drug Induced Liver Injury; Databases, Factual; Drug Labeling; Humans; Pharmaceutical Preparations; Risk | 2016 |
12 other study(ies) available for lidocaine and flutamide
| Article | Year |
|---|---|
Identification and prediction of promiscuous aggregating inhibitors among known drugs.
Topics: Antifungal Agents; beta-Lactamase Inhibitors; Chemical Phenomena; Chemistry, Physical; Chymotrypsin; Enzyme Inhibitors; Kinetics; Light; Malate Dehydrogenase; Models, Molecular; Molecular Conformation; Scattering, Radiation; Structure-Activity Relationship | 2003 |
Surface activity profiling of drugs applied to the prediction of blood-brain barrier permeability.
Topics: Blood-Brain Barrier; Lipid Bilayers; Micelles; Permeability; Pharmaceutical Preparations; Structure-Activity Relationship; Surface Properties | 2004 |
Structural requirements for drug inhibition of the liver specific human organic cation transport protein 1.
Topics: Cell Line; Computer Simulation; Drug Design; Gene Expression Profiling; Humans; Hydrogen Bonding; Liver; Molecular Weight; Organic Cation Transporter 1; Pharmaceutical Preparations; Predictive Value of Tests; Reverse Transcriptase Polymerase Chain Reaction; RNA, Messenger; Structure-Activity Relationship | 2008 |
Quantitative structure-activity relationship and complex network approach to monoamine oxidase A and B inhibitors.
Topics: Computational Biology; Drug Design; Humans; Isoenzymes; Molecular Structure; Monoamine Oxidase; Monoamine Oxidase Inhibitors; Quantitative Structure-Activity Relationship | 2008 |
Cheminformatics analysis of assertions mined from literature that describe drug-induced liver injury in different species.
Topics: Animals; Chemical and Drug Induced Liver Injury; Cluster Analysis; Databases, Factual; Humans; MEDLINE; Mice; Models, Chemical; Molecular Conformation; Quantitative Structure-Activity Relationship | 2010 |
Multi-target spectral moment QSAR versus ANN for antiparasitic drugs against different parasite species.
Topics: Antiparasitic Agents; Molecular Structure; Neural Networks, Computer; Parasitic Diseases; Quantitative Structure-Activity Relationship; Species Specificity; Thermodynamics | 2010 |
Developing structure-activity relationships for the prediction of hepatotoxicity.
Topics: Chemical and Drug Induced Liver Injury; Databases, Factual; Humans; Structure-Activity Relationship; Tetracyclines; Thiophenes | 2010 |
Predicting phospholipidosis using machine learning.
Topics: Animals; Artificial Intelligence; Databases, Factual; Drug Discovery; Humans; Lipidoses; Models, Biological; Phospholipids; Support Vector Machine | 2010 |
Interference with bile salt export pump function is a susceptibility factor for human liver injury in drug development.
Topics: Animals; ATP Binding Cassette Transporter, Subfamily B, Member 11; ATP-Binding Cassette Transporters; Biological Assay; Biological Transport; Cell Line; Cell Membrane; Chemical and Drug Induced Liver Injury; Cytoplasmic Vesicles; Drug Evaluation, Preclinical; Humans; Liver; Rats; Reproducibility of Results; Spodoptera; Transfection; Xenobiotics | 2010 |
A predictive ligand-based Bayesian model for human drug-induced liver injury.
Topics: Bayes Theorem; Chemical and Drug Induced Liver Injury; Humans; Ligands | 2010 |
A multifactorial approach to hepatobiliary transporter assessment enables improved therapeutic compound development.
Topics: Animals; ATP Binding Cassette Transporter, Subfamily B; ATP Binding Cassette Transporter, Subfamily B, Member 11; ATP-Binding Cassette Transporters; Biological Transport; Chemical and Drug Induced Liver Injury; Cluster Analysis; Drug-Related Side Effects and Adverse Reactions; Humans; Liver; Male; Multidrug Resistance-Associated Proteins; Pharmacokinetics; Rats; Rats, Sprague-Dawley; Recombinant Proteins; Risk Assessment; Risk Factors; Toxicity Tests | 2013 |
Metabolic Hydrolysis of Aromatic Amides in Selected Rat, Minipig, and Human In Vitro Systems.
Topics: Acetaminophen; Acetanilides; Amides; Anilides; Animals; Carboxylesterase; Flutamide; Hepatocytes; Humans; Hydrolysis; Lidocaine; Male; Microsomes, Liver; Niclosamide; Nitriles; Prilocaine; Primary Cell Culture; Propanil; Rats; Rats, Sprague-Dawley; Subcellular Fractions; Swine; Swine, Miniature; Tosyl Compounds | 2018 |