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Bioorg Med Chem
Dipartimento di Scienze Farmaceutiche 'Pietro Pratesi', Facoltà di Farmacia, Università degli Studi di Milano, Via Mangiagalli, 25, I-20133 Milano, Italy.
Published: August 2011
Over the last years, considerable progress has been made for the identification and characterization of drug transporters, and several modeling studies have been undertaken to predict their effects on ADME profiling. Thus, this study was focused on the peptide transporter hPepT2, which influences the regional pharmacokinetics in brain, the reabsorption from renal tubular fluid and the pulmonary delivery. A reliable model for hPepT2 was generated by fragments based on the resolved structure of the homologue lactose permease LacY and the structure is made available as Supplementary data. The interaction capacities of such a model were explored by docking a set of 75 known ligands. Docking results underlined the predilection of hPepT2 for highly hydrophobic ligands and the key role of ionic interactions elicited by both charged termini. The docking results were further verified developing a pharmacophore model which clarified the key features required for an optimal hPepT2 affinity and confirmed the main factors governing the hPepT2/hPepT1 selectivity. The soundness of the docking results and the agreement with the pharmacophore mapping afford an encouraging validation for the proposed hPepT2 model and suggest that it can be conveniently exploited to design peptide-like molecules with an improved affinity for this transporter.
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http://dx.doi.org/10.1016/j.bmc.2011.06.027 | DOI Listing |
Nat Commun
March 2025
Key Laboratory of Drug Targeting and Drug Delivery System of Ministry of Education, Department of Medicinal Chemistry, West China School of Pharmacy, Sichuan University, Chengdu, Sichuan, China.
Pharmacophores are abstractions of essential chemical interaction patterns, holding an irreplaceable position in drug discovery. Despite the availability of many pharmacophore tools, the adoption of deep learning for pharmacophore-guided drug discovery remains relatively rare. We herein propose a knowledge-guided diffusion framework for 'on-the-fly' 3D ligand-pharmacophore mapping, named DiffPhore.
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March 2025
Department of Plant Breeding and Genetics, Faculty of Agricultural Sciences, University of the Punjab, Lahore, Pakistan.
Candida albicans (C. albicans) is an opportunistic pathogen in immunocompromised individuals and a normal inhabitant of the oral cavity, throat, gastrointestinal tract, and genitourinary system among health populations. Our study focused on identifying new inhibitors capable of binding to the mutant cytochrome P450 family 51 (CYP-51) protein and intended to be effective against resistant C.
View Article and Find Full Text PDFSci Rep
February 2025
Division of Basic Sciences & Humanities, FoH, SKUAST-Kashmir, Shalimar, Srinagar, Jammu & Kashmir, 190025, India.
Significant implications of glycogen synthase kinase-3β (GSK-3β) have been reported in various neuronal disorders and malignant cancers. GSK-3β modulates diverse protein targets through phosphorylation, and its aberrant activity leads to neurological complications as well as tumour onset. Therefore, inhibiting GSK-3β activity through active-site fitting molecules may offer a favourable strategy for intercepting these disorders.
View Article and Find Full Text PDFIn Silico Pharmacol
January 2025
Laboratory of Drug Discovery and Ecotoxicology, Department of Pharmacy, Guru Ghasidas Vishwavidyalaya, Bilaspur, 495009 India.
Abstract: Alzheimer's disease (AD) and Parkinson's disease (PD) are neurological conditions that primarily impact the elderly having distinctive traits and some similarities in terms of symptoms and progression. The multifactorial nature of AD and PD encourages exploring potentiality of multi-target therapy for addressing these conditions to conventional, the "one drug one target" strategy. This study highlights the searching of potential HDAC4 inhibitors through multiple screening approaches.
View Article and Find Full Text PDFMed Chem
January 2025
Department of Pharmacy, Pisa University, Pisa, Italy.
Background: The rise in the frequency of liver cancer all over the world makes it a prominent area of research in the discovery of new drugs or repurposing of existing drugs.
Methods: This article describes the pharmacophore-based structure-activity relationship (3DQSAR) on the secondary metabolites of Alhagi maurorum to inhibit human liver cancer cell lines Hepatocellular carcinoma (HCC) and hepatoma G2 (HepG2) which represents the molecular level understanding for isolated phytochemicals of Alhagi maurorum. The definite features, such as hydrophobic regions, average shape, and active compounds' electrostatic patterns, were mapped to screen phytochemicals.
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