AIMC Topic: Mycobacterium tuberculosis
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Machine learning and docking models for Mycobacterium tuberculosis topoisomerase I.
Tuberculosis (Edinburgh, Scotland)
Jan 20, 2017
There is a shortage of compounds that are directed towards new targets apart from those targeted by the FDA approved drugs used against Mycobacterium tuberculosis. Topoisomerase I (Mttopo I) is an essential mycobacterial enzyme and a promising target...
Mycobacterium smegmatis
Humans
DNA Topoisomerases, Type I
Machine Learning
Topoisomerase I Inhibitors
Molecular Docking Simulation
Computer-Aided Design
Tuberculosis
Structure-Activity Relationship
Drug Design
Mycobacterium tuberculosis
Bayes Theorem
Dose-Response Relationship, Drug
Molecular Targeted Therapy
Antitubercular Agents
Protein Conformation
Artificial Intelligence and Amikacin Exposures Predictive of Outcomes in Multidrug-Resistant Tuberculosis Patients.
Antimicrobial agents and chemotherapy
Sep 23, 2016
Aminoglycosides such as amikacin continue to be part of the backbone of treatment of multidrug-resistant tuberculosis (MDR-TB). We measured amikacin concentrations in 28 MDR-TB patients in Botswana receiving amikacin therapy together with oral levofl...
Humans
Artificial Intelligence
Female
Male
Middle Aged
Microbial Sensitivity Tests
Adolescent
Models, Theoretical
Aged
Aged, 80 and over
Young Adult
Adult
Tuberculosis, Pulmonary
Mycobacterium tuberculosis
Amikacin
Treatment Outcome
Botswana
Regression Analysis
Antitubercular Agents
Tuberculosis, Multidrug-Resistant
Machine Learning Model Analysis and Data Visualization with Small Molecules Tested in a Mouse Model of Mycobacterium tuberculosis Infection (2014-2015).
Journal of chemical information and modeling
Jul 1, 2016
The renewed urgency to develop new treatments for Mycobacterium tuberculosis (Mtb) infection has resulted in large-scale phenotypic screening and thousands of new active compounds in vitro. The next challenge is to identify candidates to pursue in a ...
Synthesis, identification and in vitro biological evaluation of some novel quinoline incorporated 1,3-thiazinan-4-one derivatives.
Bioorganic & medicinal chemistry letters
Jun 16, 2016
The present study describes the synthesis of two new series of 3-hydroxy-N-(4-oxo-2-phenyl-1,3-thiazinan-3-yl)-8-(trifluoromethyl)quinoline-2-carboxamide derivatives (4a-j) and 3-((7-chloroquinolin-4-ylamino)methyl)-2-phenyl-1,3-thiazinan-4-one deriv...
Gram-Negative Bacteria
Plasmodium falciparum
Quinolines
Antitubercular Agents
Magnetic Resonance Spectroscopy
Antimalarials
Clostridium tetani
Anti-Bacterial Agents
Mycobacterium tuberculosis
Thiazines
Microbial Sensitivity Tests
Spectroscopy, Fourier Transform Infrared
Structure-Activity Relationship
Tuberculous Pericarditis is Multibacillary and Bacterial Burden Drives High Mortality.
EBioMedicine
Sep 21, 2015
BACKGROUND: Tuberculous pericarditis is considered to be a paucibacillary process; the large pericardial fluid accumulation is attributed to an inflammatory response to tuberculoproteins. Mortality rates are high. We investigated the role of clinical...
In vitro antimycobacterial activity of six Cameroonian medicinal plants using microplate alamarBlue assay.
International journal of mycobacteriology
Sep 5, 2015
OBJECTIVE/BACKGROUND: The latest incidence of tuberculosis (TB) (per 100,000 people) in Cameroon was 243.00 as of 2011. Over the past 21 years, the value for this indicator has fluctuated between 112.00 in 1990 and 320.00 in 2003. Worldwide, this inc...
Genomics and Machine Learning for Taxonomy Consensus: The Mycobacterium tuberculosis Complex Paradigm.
PloS one
Jul 8, 2015
Infra-species taxonomy is a prerequisite to compare features such as virulence in different pathogen lineages. Mycobacterium tuberculosis complex taxonomy has rapidly evolved in the last 20 years through intensive clinical isolation, advances in sequ...
Databases, Genetic
Cluster Analysis
Polymorphism, Single Nucleotide
Internet
Genotype
Molecular Epidemiology
Tuberculosis
Computational Biology
Polymorphism, Restriction Fragment Length
DNA, Bacterial
Mycobacterium tuberculosis
Bacterial Typing Techniques
Machine Learning
Polymerase Chain Reaction
Algorithms
Prevalence
Genomics
A tuberculosis ontology for host systems biology.
Tuberculosis (Edinburgh, Scotland)
Jun 30, 2015
A major hurdle facing tuberculosis (TB) investigators who want to utilize a rapidly growing body of data from both systems biology approaches and omics technologies is the lack of a standard vocabulary for data annotation and reporting. Lacking a mea...
Factors contribute to efficiency of specimen concentration of Mycobacterium tuberculosis by centrifugation and magnetic beads.
International journal of mycobacteriology
Jun 25, 2015
BACKGROUND: A concentration of specimen is recommended for the effective recovery of Mycobacterium tuberculosis (MTB), but the bacteriological efficiency is not well evaluated. The present study evaluated the factors contributing to concentration eff...
Use of a convolutional neural network for direct detection of acid-fast bacilli from clinical specimens.
Microbiology spectrum
Aug 5, 2025
Mycobacteria, including (MTB) and non-tuberculosis mycobacteria (NTM), are important causes of infectious disease and cause significant mortality and morbidity globally. Fast detection is extremely important to reduce transmission and mortality asso...
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