Microsomal cytochrome P450 family 1 enzymes has great importance in the bioactivation of mutagens. P450 catalyzed reactions involve a wide range of substrates, and this versatality is reflected in a structural diversity, evident in the active sites of available P450 structures. This structure offers a template to study further structure-function relationships of alternative substrates and other cytochrome P450 family 1 members. In this paper, we document a homology model of CYP P450 1A1 from Homo sapiens, developed on the basis of template crystal structure of human microsomal P450 1a2 in complex with inhibitor (PDB Id: 2HI4). Homology modeling is performed at the programs, both in the commercial and public realms. We tried to explore CYP1A1 as a potential target for anticancer chemotherapy. To gain an insight into the binding of ligands with enzyme, protein-ligand complex was developed by including information about the known ligand as spatial restraints and optimizing the mutual interactions between the ligand and the binding site. Active site characterization and the study for involvement of specific aminoacids in binding with ligand, facilitates structure based inhibitor design. This study should prove useful in the design and development of potential novel anticancer agents.
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Plant Cell Environ
January 2025
College of Resources and Environmental Sciences, Department of Plant Nutrition, China Agricultural University, Beijing, Haidian, China.
The occurrence of external L-glutamate at the Arabidopsis root tip triggers major changes in root architecture, but the mechanism of -L-Glu sensing is unknown. Members of the family of GLUTAMATE RECEPTOR-LIKE (GLR) proteins are known to act as amino acid-gated Ca-permeable channels and to have signalling roles in diverse plant processes. To investigate the possible role of GLRs in the root architectural response to L-Glu, we screened a collection of mutants with T-DNA insertions in each of the 20 AtGLR genes.
View Article and Find Full Text PDFRSC Chem Biol
January 2025
Department of Chemical and Biological Engineering, University of Wisconsin - Madison Madison Wisconsin 53706 USA
Cyanobacteria are widespread, photosynthetic, gram-negative bacteria that generate numerous bioactive secondary metabolites complex biosynthetic enzymatic machinery. The model cyanobacterium sp. strain PCC 7002, hereafter referred to as PCC 7002, contains a type I polyketide synthase (PKS), termed olefin synthase (OlsWT), that synthesizes 1-nonadecene and 1,14-nonadecadiene: α-olefins that are important for growth at low temperatures.
View Article and Find Full Text PDFFront Antibiot
May 2024
Department of Pharmaceutical Sciences & Technology, Birla Institute of Technology, Ranchi, India.
Introduction: In response to continued public health emergency of antimicrobial resistance (AMR), a significant key strategy is the discovery of novel mycobacterial efflux-pump inhibitors (EPIs) as potential adjuvants in combination drug therapy. Interest in identifying new chemotypes which could potentially synergize with the existing antibiotics and can be deployed as part of a combination therapy. This strategy could delay the emergence of resistance to existing antibiotics and increase their efficacy against resistant strains of mycobacterial species.
View Article and Find Full Text PDFNeuron
January 2025
Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY 10461, USA. Electronic address:
Neurexin cell-adhesion molecules regulate synapse development and function by recruiting synaptic components. Here, we uncover a mechanism for presynaptic assembly that precedes neurexin recruitment, mediated by interactions between cytosolic proteins and membrane phospholipids. Developmental imaging in C.
View Article and Find Full Text PDFiScience
January 2025
Division of Optometry, Health Sciences, City University of London, London EC1V 0HB, UK.
A key property of our environment is the mirror symmetry of many objects, although symmetry is an abstract global property with no definable shape template, making symmetry identification a challenge for standard template-matching algorithms. We therefore ask whether Deep Neural Networks (DNNs) trained on typical natural environmental images develop a selectivity for symmetry similar to that of the human brain. We tested a DNN trained on such typical natural images with object-free random-dot images of 1, 2, and 4 symmetry axes.
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