Virtually every biological process involves protein-protein contact but relatively few protein-protein complexes have been solved by X-ray crystallography. As more individual protein structures become available, computational methods are likely to play increasingly important roles in defining these interactions. Tubulin folding and dimer formation are complex processes requiring a variety of protein cofactors. One of these is cofactor A, which interacts with beta-tubulin prior to assembly of the alpha-tubulin-beta-tubulin heterodimer. In the yeast Saccharomyces cerevisiae, beta-tubulin is encoded by TUB2 and cofactor A by RBL2. We have used computational docking and site-directed mutagenesis to generate a model of the Rbl2-Tub2 complex from the solved structures of these two proteins. Residues in the N termini and the loops of the Rbl2 homodimer appear to mediate binding to beta-tubulin. These interact with beta-tubulin residues in the region that contains helices H9 and H10. Rbl2 and alpha-tubulin share overlapping binding sites on the beta-tubulin molecule providing a structural explanation for the mutually exclusive binding of Rbl2 and alpha-tubulin to beta-tubulin.
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http://dx.doi.org/10.1016/j.jmb.2004.06.081 | DOI Listing |
Cell
January 2025
Program in Bioinformatics, Boston University, Boston, MA 02215, USA; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada; Center for Network Systems Biology, Boston University, Boston, MA 02218, USA; Department of Chemistry, Boston University, Boston, MA 02215, USA; Department of Chemical Physiology and Biochemistry, Division of Oncological Sciences, Knight Cancer Institute, Oregon Health and Science University, Portland, OR, USA. Electronic address:
Knowledge of protein-metabolite interactions can enhance mechanistic understanding and chemical probing of biochemical processes, but the discovery of endogenous ligands remains challenging. Here, we combined rapid affinity purification with precision mass spectrometry and high-resolution molecular docking to precisely map the physical associations of 296 chemically diverse small-molecule metabolite ligands with 69 distinct essential enzymes and 45 transcription factors in the gram-negative bacterium Escherichia coli. We then conducted systematic metabolic pathway integration, pan-microbial evolutionary projections, and independent in-depth biophysical characterization experiments to define the functional significance of ligand interfaces.
View Article and Find Full Text PDFComput Biol Chem
January 2025
Department of Biostatistics and Bioinformatics, ICMR-National Institute for Research in Environmental Health, Bhopal, Madhya Pradesh, India. Electronic address:
Plastics play an essential role in modern fisheries and their degradation releases micro- and nano-sized plastic particles which further causes ecological and human health hazards through various environmental contamination pathways and toxicity mechanisms, which can cause respiratory problems, cancer, reproductive toxicity, endocrine disruption and neurological effects in humans. This study utilized various bioinformatics tools through multi-step computational analyses to investigate the interactions between prevalent fisheries microplastics and the key protein receptor acetylcholinesterase (AChE), which is associated with neurotoxicity, as it can interfere with nerve impulses and muscle control. Our results indicate that the binding of seven polymers within AChE's active site, with dodecane and polypropylene exhibited highest affinity with hydrogen bonding were observed through Molecular docking of different program (PyRx) and servers (CB-Dock, eDock) then the stability of AChE-dodecane and AChE-polypropylene complexes were observed through MD simulations for 100 ns.
View Article and Find Full Text PDFJ Chem Theory Comput
January 2025
State Key Laboratory of Physical Chemistry of Solid Surfaces and Fujian Provincial Key Laboratory of Theoretical and Computational Chemistry, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, P. R. China.
Molecular docking is a crucial technique for elucidating protein-ligand interactions. Machine learning-based docking methods offer promising advantages over traditional approaches, with significant potential for further development. However, many current machine learning-based methods face challenges in ensuring the physical plausibility of generated docking poses.
View Article and Find Full Text PDFNat Prod Res
January 2025
Department of Bioengineering and Biotechnology, Birla Institute of Technology, Ranchi, Jharkhand, India.
Current study investigates the medicinal applications of (Palash), the state flower of Jharkhand, India, focusing on synthesising biomodified copper oxide nanoparticles (CuO-NPs) and its antifungal properties. Flavonoid content in the flower extract was quantified by aluminium chloride colorimetric analysis. CuO-NPs were synthesised via co-precipitation method and then modified with methanolic flower extract.
View Article and Find Full Text PDFPharmaceuticals (Basel)
January 2025
Department of Pharmaceutical Chemistry, College of Pharmacy, Jouf University, Sakaka 72388, Saudi Arabia.
Fructose-driven metabolic disorders, such as obesity, non-alcoholic fatty liver disease (NAFLD), dyslipidemia, and type 2 diabetes, are significant global health challenges. Ketohexokinase C (KHK-C), a key enzyme in fructose metabolism, is a promising therapeutic target. α-Mangostin, a naturally occurring prenylated xanthone, has been identified as an effective KHK-C inhibitor, prompting exploration of its analogs for enhanced efficacy.
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