Discovery of Novel Diesters Incorporating Kojic Acid With NSAIDs and Palmitic Acid as Dual Inhibitor of Melanogenesis and Inflammation.

Our study focuses on creating hybrid compounds and assessing their suitability for use in skincare products. The synergistic combination of Kojic acid, NSAIDs, and Palmitic acid proved to be an effective approach in inhibiting melanin production, making it a promising solution for individuals with hyperpigmentation concerns with Kojic acid (KA) Ibuprofen monoester (IBUM) and Ibuprofen-Kojic acid-Palmitic acid diester (IBUD) exhibiting a potential tyrosinase (38 % and 49 % inhibition at 200 µM) and anti-melanogenesis activity (77 % and 79 % inhibition at 100 µM). Furthermore, these compounds exhibited potent anti-inflammatory effects, Kojic acid-Diclofenac monoester (DICM) and Diclofenac-Kojic acid-Palmitic acid diester (DICD) offering potential benefits for inflammation by lowering the paw volume. A stability study under chemical conditions and enzymatic conditions was also performed, wherein DICM and DICD showed a better half-life of 515, 593 h under chemical stability and 6.3, 7.5 h under enzymatic stability studies respectively. The diester hybrids IBUD, DICD, Naproxen-Kojic acid-Palmitic acid diester (NAPD) showed a better permeation and penetration profiles compared to their parent drugs. In-vitro cell line studies were conducted to assess the safety and efficacy of these hybrid esters, with promising results. The dual inhibitor demonstrated minimal cytotoxicity and remarkable anti-melanogenic and anti-inflammatory activities, showing its potential as a versatile agent in addressing both melanogenesis and inflammation.

Design, synthesis, pharmacological evaluation and computational studies of 1-(biphenyl-4-yl)-2-[4-(substituted phenyl)-piperazin-1-yl]ethanones as potential antipsychotics.

This article describes the design of biphenyl moiety linked with aryl piperazine and syntheses of fourteen 1-(biphenyl-4-yl)-2-[4-(substituted phenyl)-piperazin-1-yl]ethanone derivatives along with their pharmacological evaluation for antipsychotic activity and computational studies including quantitative structure activity relationship (QSAR) and descriptor based similarity study. All compounds were found to exhibit considerable anti-dopaminergic and anti-serotonergic activity in behavioural models. Among all derivatives, compound 1-(biphenyl-4-yl)-2-[4-(2-methoxyphenyl)-piperazin-1-yl]ethanone (3c) and 1-(biphenyl-4-yl)-2-[4-(2,3-dichlorophenyl)-piperazin-1-yl]ethanone (3k) showed impressive antipsychotic profile with lower potency for catalepsy induction. These results were found to be sturdily matching with docking study in designing of compounds with homology model of human dopamine D2 receptor. Also the QSAR study strongly supports the obtained results.

Design, synthesis, pharmacological evaluation and descriptor based similarities study of N,N-diphenyl-2-[4-(substituted phenyl)piperazin-1-yl]acetamides as potential antipsychotics.

A series of novel N,N-diphenyl-2-[4-(substituted phenyl)piperazin-1-yl]acetamides was designed, synthesized and evaluated for anti-dopaminergic activity, anti-serotonergic activity and catalepsy induction studies in mice as an approach to novel potential antipsychotic agent. Antipsychotic activity of these compounds in terms of blocking of dopaminergic transmission was evaluated by their ability to inhibit apomorphine induced climbing behavior in mice and antiserotonergic activity of synthesized compounds was assessed by studying inhibition of 5-HTP induced head twitches. All the synthesized compounds were found to exhibit anti-dopaminergic and anti-serotonergic activity in behavioral models. The compound 3f showed better antipsychotic potential among the different synthesized compounds. The descriptor based similarities study for blood brain permeation established a good similarity between the synthesized compounds with standard atypical antipsychotics.

Scaffold hopping for identification of novel D(2) antagonist based on 3D pharmacophore modelling of illoperidone analogs.

The dopamine D(2) receptor is involved in the etiology of a number of disorders, such as Parkinson's disease, Huntington's Chorea, tardive dyskinesia and schizophrenia. Antagonism of D(2) receptors is implicated in the treatment of various psychiatric disorders. In order to understand essential structural features required for D(2) antagonism, this research article elaborates on the generation of a four-point 3D pharmacophore model which was extracted from a series of 45 novel 3-[[(aryloxy)alkyl]piperidinyl]-1,2-benzisoxazole derivatives. The best pharmacophore model generated consisted of four PRRR features: a positively charged group (P), and three aromatic rings (R). Based on the model generated, a statistically valid 3D-QSAR with good predictability (Q(2) = 0.756) was derived. For the validation of the pharmacophore hypothesis, active compounds were docked against the 3D structure of the D(2) receptor which was constructed through homology modeling. Further, the derived pharmacophore was used as a query to search the Zinc 'clean drug-like' database. Hits retrieved were passed progressively through filters, such as fitness score, predicted activity and docking scores. The resulting hits present new scaffolds with a strong potential for D(2) antagonist.

Exploration of new scaffolds as potential MAO-A inhibitors using pharmacophore and 3D-QSAR based in silico screening.

Monoamine oxidase-A (MAO-A) inhibitors are of particular importance in the treatment of depressive disorders. Herein described is pharmacophore generation and atom-based 3D-QSAR analysis of previously reported pyrrole based MAO-A inhibitors in order to get insight into their structural requirements responsible for high affinity. The best pharmacophore model generated consisted of four features DHHR: a hydrogen bond donor (D), two hydrophobic groups (H) and an aromatic ring (R). Based on model generated, a statistically valid 3D-QSAR with good predictability was developed. Derived pharmacophore was used as a query to search Zinc 'clean drug-like' database. Hits retrieved were passed progressively through filters like fitness score, predicted activity and docking scores. The survived hits present new scaffolds with a potential for MAO-A inhibition.