AIMC Topic: Mycobacterium tuberculosis
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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...
Mycobacterium tuberculosis
Gram-Negative Bacteria
Structure-Activity Relationship
Quinolines
Plasmodium falciparum
Magnetic Resonance Spectroscopy
Anti-Bacterial Agents
Antitubercular Agents
Clostridium tetani
Microbial Sensitivity Tests
Antimalarials
Thiazines
Spectroscopy, Fourier Transform Infrared
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...
Polymorphism, Restriction Fragment Length
Bacterial Typing Techniques
Mycobacterium tuberculosis
Polymerase Chain Reaction
Molecular Epidemiology
Genotype
Computational Biology
DNA, Bacterial
Databases, Genetic
Cluster Analysis
Internet
Tuberculosis
Algorithms
Prevalence
Genomics
Polymorphism, Single Nucleotide
Machine Learning
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...
Evolutionary accumulation modeling in AMR: machine learning to infer and predict evolutionary dynamics of multi-drug resistance.
mBio
Jun 11, 2025
Can we understand and predict the evolutionary pathways by which bacteria acquire multi-drug resistance (MDR)? These questions have substantial potential impact in basic biology and in applied approaches to address the global health challenge of anti...
Lead Informed Artificial Intelligence Mining of Antitubercular Host Defense Peptides.
Biomacromolecules
May 12, 2025
Identifying host defense peptides (HDPs) that are effective against drug-resistant infections is challenging due to their vast sequence space. Artificial intelligence (AI)-guided design can accelerate HDP discovery, but it traditionally requires larg...
Recent progress in tuberculosis diagnosis: insights into blood-based biomarkers and emerging technologies.
Frontiers in cellular and infection microbiology
Jan 1, 2025
Tuberculosis (TB) remains a global health challenge, with timely and accurate diagnosis being critical for effective disease management and control. Recent advancements in the field of TB diagnostics have focused on the identification and utilization...
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