Publications by authors named "Firoj Hassan"

Leishmania, a protozoan parasite, is responsible for the occurrence of leishmaniasis, a disease that is prevalent in tropical regions. Visceral Leishmaniasis (VL), also known as kala-azar in Asian countries, is one of the most significant forms of VL, along with Cutaneous Leishmaniasis (CL) and Mucocutaneous Leishmaniasis (ML). Management of this condition typically entails the use of chemotherapy as the sole therapeutic option.

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Visceral leishmaniasis (VL) is caused by Leishmania donovani (Ld), and most cases occur in Brazil, East Africa, and India. The treatment for VL is limited and has many adverse effects. The development of safer and more efficacious drugs is urgently needed.

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Pathogenic bacteria, with their innate resistance to drugs, pose a constant threat to human health and well-being and put a persistent strain on the health care system. Development of more effective and safer novel antibacterial drugs is warranted to counter the menace unleashed by pathogenic bacteria. Integration of privileged pharmacophores from various bioactive molecules into a single template is a promising strategy to obtain new leads with unique mechanisms of action to overcome drug resistance.

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Phenanthridines are an essential class of nitrogenous heterocycles with extensive applications in medicinal chemistry. The development of efficient and eco-friendly methods for the preparation of chirally pure dihydropyrrolo[1,2-]phenanthridines (), and their evaluation and modeling studies as potential anticancer, antioxidant and DNA cleavage agents is reported. Compounds were prepared through a facile one-pot synthesis and characterized by infrared, high resolution mass spectrometry, H and C nuclear magnetic resonance.

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This paper deals with in silico evaluation of newly proposed heterocyclic derivatives in search of potential anticancer activity. Best possible drug candidates have been proposed using a rational approach employing a pipeline of computational techniques namely MetaPrint2D prediction, molinspiration, cheminformatics, Osiris Data warrior, AutoDock and iGEMDOCK. Lazar toxicity prediction, AdmetSAR predictions, and targeted docking studies were also performed.

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