scholarly journals High-Performance Deep Learning Toolbox for Genome-Scale Prediction of Protein Structure and Function

Author(s):  
Mu Gao ◽  
Peik Lund-Andersen ◽  
Alex Morehead ◽  
Sajid Mahmud ◽  
Chen Chen ◽  
...  
2013 ◽  
Vol 35 (1) ◽  
pp. 4-8
Author(s):  
Paul Curnow

The potential for nanotechnology to transform modern life has been appreciated for several years. Generally, nanotechnology involves objects with at least one dimension of less than 100 nm. Such stuff is abundant in the natural world, and one of the most exciting current areas in nanoscience research is the use of proteins as nanoscale components of high-performance devices and as nanosized tools in their own right. Biochemists, with our relatively sophisticated and mature toolkit for understanding protein structure and function, are now saddling up to explore the wild frontiers of biological nanotechnology.


2021 ◽  
Author(s):  
Pengshuo Yang ◽  
Wei Zheng ◽  
Kang Ning ◽  
Yang Zhang

Information extracted from microbiome sequences through deep-learning techniques can significantly improve protein structure and function modeling. However, the model training and metagenome search were largely blind with low efficiency. Built on 4.25 billion microbiome sequences from four major biomes (Gut, Lake, Soil and Fermentor), we proposed a MetaSource model to decode the inherent link of microbial niches with protein homologous families. Large-scale protein family folding experiments showed that a targeted approach using predicted biomes significantly outperform combined metagenome datasets in both speed of MSA collection and accuracy of deep-learning structure assembly. These results revealed the important link of biomes with protein families and provided a useful bluebook to guide future microbiome sequence database and modeling development for protein structure and function prediction.


2020 ◽  
Author(s):  
Khondker Rufaka Hossain ◽  
Daniel Clayton ◽  
Sophia C Goodchild ◽  
Alison Rodger ◽  
Richard James Payne ◽  
...  

Membrane protein structure and function are modulated via interactions with their lipid environment. This is particularly true for the integral membrane pumps, the P-type ATPases. These ATPases play vital roles...


2017 ◽  
Vol 6 (1) ◽  
pp. 75-92 ◽  
Author(s):  
Elka R. Georgieva

AbstractCellular membranes and associated proteins play critical physiological roles in organisms from all life kingdoms. In many cases, malfunction of biological membranes triggered by changes in the lipid bilayer properties or membrane protein functional abnormalities lead to severe diseases. To understand in detail the processes that govern the life of cells and to control diseases, one of the major tasks in biological sciences is to learn how the membrane proteins function. To do so, a variety of biochemical and biophysical approaches have been used in molecular studies of membrane protein structure and function on the nanoscale. This review focuses on electron paramagnetic resonance with site-directed nitroxide spin-labeling (SDSL EPR), which is a rapidly expanding and powerful technique reporting on the local protein/spin-label dynamics and on large functionally important structural rearrangements. On the other hand, adequate to nanoscale study membrane mimetics have been developed and used in conjunction with SDSL EPR. Primarily, these mimetics include various liposomes, bicelles, and nanodiscs. This review provides a basic description of the EPR methods, continuous-wave and pulse, applied to spin-labeled proteins, and highlights several representative applications of EPR to liposome-, bicelle-, or nanodisc-reconstituted membrane proteins.


2021 ◽  
Vol 28 (1) ◽  
Author(s):  
Kavita Sharma ◽  
Kanipakam Hema ◽  
Naveen Kumar Bhatraju ◽  
Ritushree Kukreti ◽  
Rajat Subhra Das ◽  
...  

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