Validating the predictions of murburn model for oxygenic photosynthesis: Analyses of ligand-binding to protein complexes and cross-system comparisons

Author(s):  
Kelath Murali Manoj ◽  
Daniel Andrew Gideon ◽  
Abhinav Parashar ◽  
Vijay Nirusimhan ◽  
Pushparaj Annadurai ◽  
...  
2009 ◽  
Vol 87 (10) ◽  
pp. 1480-1484 ◽  
Author(s):  
Jian Li ◽  
Charles. H. Reynolds

Linear-scaling quantum mechanical method was applied to calculate binding affinities of six stromelysin-1 (MMP-3) inhibitors with two different zinc binding groups (ZBGs). The entire protein and ligand–protein complexes were calculated using PM5 Hamiltonian, which enables the treatment of metal ion coordination, bond forming/breaking, and proton/charge transfers associated with the ligand binding process by the self-consistent field method. The calculated binding energies reproduce the binding-affinity trend observed experimentally.


eLife ◽  
2020 ◽  
Vol 9 ◽  
Author(s):  
Pengqi Xu ◽  
Volha U Chukhutsina ◽  
Wojciech J Nawrocki ◽  
Gert Schansker ◽  
Ludwik W Bielczynski ◽  
...  

Carotenoids are essential in oxygenic photosynthesis: they stabilize the pigment–protein complexes, are active in harvesting sunlight and in photoprotection. In plants, they are present as carotenes and their oxygenated derivatives, xanthophylls. While mutant plants lacking xanthophylls are capable of photoautotrophic growth, no plants without carotenes in their photosystems have been reported so far, which has led to the common opinion that carotenes are essential for photosynthesis. Here, we report the first plant that grows photoautotrophically in the absence of carotenes: a tobacco plant containing only the xanthophyll astaxanthin. Surprisingly, both photosystems are fully functional despite their carotenoid-binding sites being occupied by astaxanthin instead of β-carotene or remaining empty (i.e. are not occupied by carotenoids). These plants display non-photochemical quenching, despite the absence of both zeaxanthin and lutein and show that tobacco can regulate the ratio between the two photosystems in a very large dynamic range to optimize electron transport.


2019 ◽  
Vol 36 (8) ◽  
pp. 1711-1727 ◽  
Author(s):  
György Abrusán ◽  
Joseph A Marsh

Abstract The structure of ligand-binding sites has been shown to profoundly influence the evolution of function in homomeric protein complexes. Complexes with multichain binding sites (MBSs) have more conserved quaternary structure, more similar binding sites and ligands between homologs, and evolve new functions slower than homomers with single-chain binding sites (SBSs). Here, using in silico analyses of protein dynamics, we investigate whether ligand-binding-site structure shapes allosteric signal transduction pathways, and whether the structural similarity of binding sites influences the evolution of allostery. Our analyses show that: 1) allostery is more frequent among MBS complexes than in SBS complexes, particularly in homomers; 2) in MBS homomers, semirigid communities and critical residues frequently connect interfaces and thus they are characterized by signal transduction pathways that cross protein–protein interfaces, whereas SBS homomers usually not; 3) ligand binding alters community structure differently in MBS and SBS homomers; and 4) except MBS homomers, allosteric proteins are more likely to have homologs with similar binding site than nonallosteric proteins, suggesting that binding site similarity is an important factor driving the evolution of allostery.


2012 ◽  
Vol 84 (9) ◽  
pp. 3867-3870 ◽  
Author(s):  
Amr El-Hawiet ◽  
Elena N. Kitova ◽  
Denis Arutyunov ◽  
David J. Simpson ◽  
Christine M. Szymanski ◽  
...  

2020 ◽  
Author(s):  
Asad Ahmed ◽  
Bhavika Mam ◽  
Ramanathan Sowdhamini

AbstractProtein-ligand binding prediction has extensive biological significance. Binding affinity helps in understanding the degree of protein-ligand interactions and has wide protein applications. Protein-ligand docking using virtual screening and molecular dynamic simulations are required to predict the binding affinity of a ligand to its cognate receptor. In order to perform such analyses, it requires intense computational power and it becomes impossible to cover the entire chemical space of small molecules. Recent developments using deep learning has enabled us to make sense of massive amounts of complex datasets where the ability of the model to “learn” intrinsic patterns in a complex plane of data is the strength of the approach. Here, we have incorporated Convolutional Neural Networks to find spatial relationships amongst data to help us predict affinity of binding of proteins in whole superfamilies towards a diverse set of ligands without the need of a docked pose or complex as input. The models were trained and validated using a detailed methodology for feature extraction. We have also tested DEELIG on protein complexes relevant to the current public health scenario. Our approach to network construction and training on protein-ligand dataset prepared in-house has yielded novel insights.


2021 ◽  
Vol 22 (7) ◽  
pp. 3733
Author(s):  
Jana Knoppová ◽  
Jianfeng Yu ◽  
Jan Janouškovec ◽  
Petr Halada ◽  
Peter J. Nixon ◽  
...  

Photochemical energy conversion during oxygenic photosynthesis is performed by membrane-embedded chlorophyll-binding protein complexes. The biogenesis and maintenance of these complexes requires auxiliary protein factors that optimize the assembly process and protect nascent complexes from photodamage. In cyanobacteria, several lipoproteins contribute to the biogenesis and function of the photosystem II (PSII) complex. They include CyanoP, CyanoQ, and Psb27, which are all attached to the lumenal side of PSII complexes. Here, we show that the lumenal Ycf48 assembly factor found in the cyanobacterium Synechocystis sp. PCC 6803 is also a lipoprotein. Detailed mass spectrometric analysis of the isolated protein supported by site-directed mutagenesis experiments indicates lipidation of the N-terminal C29 residue of Ycf48 and removal of three amino acids from the C-terminus. The lipobox sequence in Ycf48 contains a cysteine residue at the −3 position compared to Leu/Val/Ile residues found in the canonical lipobox sequence. The atypical Ycf48 lipobox sequence is present in most cyanobacteria but is absent in eukaryotes. A possible role for lipoproteins in the coordinated assembly of cyanobacterial PSII is discussed.


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