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Last update 08 May 2025

Morinamide

Last update 08 May 2025

Overview

R&D Status

Clinical Result

Translational Medicine

Overview

Basic Info

Drug Type

Small molecule drug

Synonyms

Morinamide (INN)

Target-

Action-

Mechanism-

Therapeutic Areas

Infectious DiseasesRespiratory Diseases

Active Indication

Pulmonary Tuberculosis

Inactive Indication-

Originator Organization-

Active Organization-

Inactive Organization-

License Organization-

Drug Highest PhaseApproved

First Approval Date-

Regulation-

Structure/Sequence

Molecular FormulaC10H14N4O2

InChIKeyGVTLAVKAVSKBKK-UHFFFAOYSA-N

CAS Registry952-54-5

100 Clinical Results associated with Morinamide

100 Translational Medicine associated with Morinamide

100 Patents (Medical) associated with Morinamide

Literatures (Medical) associated with Morinamide

01 Jul 2022·Pharmaceutical Chemistry Journal

Synthesis and Antimycobacterial Activity of Some New Pyrazinamide Derivatives

Author: Halawi, Mustafa ; Asif, Mohammad ; Almehmadi, Mazen

Some pyrazinamide derivatives I (n = 1, 2, 3; X = S, NH, O, etc.) were synthesized and evaluated as antimycobacterial agents against Mycobacterium tuberculosis H37Rv strain.These pyrazinamide derivatives were designed by structural modification of pyrazinamide with alkyl chains and six-membered hetereocylic rings, resp.The title pyrazinamide derivatives I were synthesized using pyrazinamide as the starting material for haloakylation, and then halo-alkylpyrazinamides II were reacted with appropriate heterocyclic rings.The activity of pyrazinamide derivatives I was assayed using microplate alamar blue assay (MABA) and characterized by min. inhibitory concentrations (MICs).Results showed that the obtained pyrazinamide derivatives I exhibited high inhibitory effect on M. tuberculosis.The antimycobacterial activity of pyrazinamide derivatives I (n = 2; X = NH, O, S) was the best among all compounds tested, and their MIC values were about 6.25 mμ/mL.These compounds have ethylene chain between pyrazinamide moiety and six-membered hetereocylic rings.

01 Jan 2019·Journal of The Electrochemical Society

Magnetic Nanosensor Design and Assay of an Anti-Tuberculosis Drug

Author: Imanzadeh, Hamideh ; Habibi, Biuck ; Ozkan, Sibel A. ; Bakirhan, Nurgul K.

In the present work, an anti-tuberculosis drug, morphazinamide HCl (MRA) was investigated at ultra-trace level in real sample for the first time.Iron (III) oxide nanoparticles (Fe2O3NPs) were casted on a glassy carbon electrode (GCE) for the determination of MRA.Cyclic voltammetry, electrochem. impedance spectroscopy, transmission electron microscopy, SEM and energy-dispersive X-ray spectroscopy were employed for morphol. characterization of the electrode surface.The results displayed a higher surface area and greater conductivity for the Fe2O3NPs modified glassy carbon electrode (Fe2O3NPs/GCE) than bare GCE.The square wave voltammetry response of the Fe2O3NPs/GCE was linear with MRA concentration in the range of 1 μM to 100 μM under optimized conditions (0.1M phosphate buffer solution at pH 3.0; drop-casting volume 10 μL; accumulation time 15 s; accumulation potential -0.3 V), with a detection limit of 0.21 nM.Also, the proposed procedure was very efficient for MRA determination from human serum sample with high recoveries.

01 Jan 2012·Chemometrics and Intelligent Laboratory Systems

Classification of central nervous system agents by least squares support vector machine based on their structural descriptors: A comparative study

Author: Mohammad Hossein Fatemi ; Mehdi Ghorbanzad'e

Linear and quadratic discriminant anal. and least squares support vector machine (LS-SVM) were used to classify a data set of 326 central nervous system (CNS) drugs as active or inactive CNS agents according to their permeation into the blood-brain barrier.A pool of descriptors was calculated by DRAGON software and nine of them were selected based on Wilk's lambda and classification accuracy and used for classification of drugs in data set.The classification models were validated based on accuracy, sensitivity, specificity, Matthew's correlation coefficient and Cohen's kappa values.The developed LS-SVM model, as the superior model has the accuracy of 96.5% and 96.0%, Matthew's correlation coefficient of 0.930 and 0.920, Cohen's kappa value of 0.963 and 0.917, and area under recursive operating characteristic curve of 0.95 and 0.98 for training and test sets, resp.The results of this study indicated the applicability of LS-SVM in classification of CNS drugs based on their structural descriptors.

100 Deals associated with Morinamide

External Link

KEGG	Wiki	ATC	Drug Bank
D07248	Morinamide	J04AK04	DB13417

R&D Status

10 top approved records.

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Indication	Country/Location	Organization	Date
Pulmonary Tuberculosis	-	-	-

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