AIMC Journal:
Folia microbiologica

Showing 1 to 4 of 4 articles

Machine learning-guided discovery of spirocyclic inhibitors targeting Mycobacterium tuberculosis FtsZ.

Folia microbiologica
Tuberculosis continues to pose serious threats to global public health and calls for the design of new drugs that can target key bacterial proteins. This research used an integrated approach involving computational techniques to discover new drugs th...

Silver nanoparticles in biomedicine: green synthesis, precision theranostics, and future clinical translation.

Folia microbiologica
Silver nanoparticles (AgNPs) are widely explored in biomedical sciences due to their unique physicochemical properties and high surface reactivity, enabling diverse applications in diagnostics and therapeutics. This review highlights recent advances ...

Structure-based and machine learning-assisted identification of natural phytochemicals targeting Mycobacterium leprae InhA for anti-mycobacterial therapeutics.

Folia microbiologica
Mycobacterium leprae (M. leprae) is the bacterium that causes leprosy. It is a public health problem in many regions, especially in developing countries. The situation is getting worse and worse as drug resistance spreads. InhA is one of the most imp...