Self-propelling, protein-bound magnetic nanobots for efficient in vitro drug delivery in triple negative breast cancer cells.

The emergence of self-propelling magnetic nanobots represents a significant advancement in the field of drug delivery. These magneto-nanobots offer precise control over drug targeting and possess the capability to navigate deep into tumor tissues, thereby addressing multiple challenges associated with conventional cancer therapies. Here, Fe-GSH-Protein-Dox, a novel self-propelling magnetic nanobot conjugated with a biocompatible protein surface and loaded with doxorubicin for the treatment of triple-negative breast cancer (TNBC), is reported.

In-silico screening of phytomolecules against multiple targets for wound management.

Chronic wound healing, especially in burns, is a major medical challenge with limited treatments. This study employs computational tools to identify phytomolecules that target multiple pathways involved in wound healing. By utilizing shape analysis, molecular docking, and binding energy calculations, potential compounds are pinpointed,to address the growing problem of chronic wounds.

In-silico Screening of Phytoconstituents on Wound Healing Targets - Approaches and Current Status.

Over recent years, there has been tremendous research focused on the effective utilization of natural products in wound management. Natural or herbal products contain several phytoconstituents that may act on various stages in wound healing and thereby provide a multi-targeted approach especially in the treatment of chronic wounds. Currently, attempts have been made to screen the phytoconstituents present in herbs on various targets involved in wound healing.

Water-powered self-propelled magnetic nanobot for rapid and highly efficient capture of circulating tumor cells.

Nanosized robots with self-propelling and navigating capabilities have become an exciting field of research, attributable to their autonomous motion and specific biomolecular interaction ability for bio-analysis and diagnosis. Here, we report magnesium (Mg)-FeO-based Magneto-Fluorescent Nanorobot ("MFN") that can self-propel in blood without any other additives and can selectively and rapidly isolate cancer cells. The nanobots viz; Mg-FeO-GSH-G4-Cy5-Tf and Mg-FeO-GSH-G4-Cy5-Ab have been designed and synthesized by simple surface modifications and conjugation chemistry to assemble multiple components viz; (i) EpCAM antibody/transferrin, (ii) cyanine 5 NHS (Cy5) dye, (iii) fourth generation (G4) dendrimers for multiple conjugation and (iv) glutathione (GSH) by chemical conjugation onto one side of Mg nanoparticle.

Design, synthesis and evaluation of novel enzalutamide analogues as potential anticancer agents.

The androgen receptor inhibitor, Enzalutamide, proved effective against castration resistance prostate cancer, has demonstrated clinical benefits and increased survival rate in men. However, AR mutation (F876L) converts Enzalutamide from antagonist to agonist indicating a rapid evolution of resistance. Hence, our goal is to overcome this resistance mechanism by designing and developing novel Enzalutamide analogues.

Self-Propelling Targeted Magneto-Nanobots for Deep Tumor Penetration and pH-Responsive Intracellular Drug Delivery.

Self-propelling magnetic nanorobots capable of intrinsic-navigation in biological fluids with enhanced pharmacokinetics and deeper tissue penetration implicates promising strategy in targeted cancer therapy. Here, multi-component magnetic nanobot designed by chemically conjugating magnetic FeO nanoparticles (NPs), anti-epithelial cell adhesion molecule antibody (anti-EpCAM mAb) to multi-walled carbon nanotubes (CNT) loaded with an anticancer drug, doxorubicin hydrochloride (DOX) is reported. Autonomous propulsion of the nanobots and their external magnetic guidance is enabled by enriching FeO NPs with dual catalytic-magnetic functionality.

Pharmacophore model and atom-based 3D quantitative structure activity relationship (QSAR) of human immunodeficiency virus-1 (HIV-1) capsid assembly inhibitors.

A potential anti-Human Immunodeficiency Virus (HIV) agent with novel mode of action is urgently needed to fight against drug resistance HIV. The HIV capsid protein is important for both late and early stages of the viral replication cycle and emerged as a promising target for the developing of small molecule inhibitors of HIV. We design a Pharmacophore and 3D Quantitative structure activity relationship (QSAR) model for HIV Capsid Protein inhibitors, which helps to identify overall aspects of molecular structure that govern activity and for the prediction of novel HIV Capsid inhibitors.

Discovery of new leads against Mycobacterium tuberculosis using scaffold hopping and shape based similarity.

BM212 [1,5-diaryl-2-methyl-3-(4-methylpiperazin-1-yl)-methyl-pyrrole] is a pyrrole derivative with strong inhibitory activity against drug resistant Mycobacterium tuberculosis and mycobacteria residing in macrophages. However, it was not pursued because of its poor pharmacokinetics and toxicity profile. Our goal was to design and synthesize new antimycobacterial BM212 analogs with lower toxicity and better pharmacokinetic profile.

New horizons in antimalarial drug discovery in the last decade by chemoinformatic approaches.

Antimalarial drug discovery process is progressively carried out by a combination of innovation and knowledge based methods that include computational and experimental approaches to achieve potent leads. Among the various computational approaches, chemoinformatics plays a critical role in the discovery of new leads or drug candidates. Chemoinformatics provides researchers tools to derive information on substructures, chemical space, similarity and diversity.