Music Translation of Tertiary Protein Structure: Auditory Patterns of the Protein Folding

Author(s):  
Riccardo Castagna ◽  
Alessandro Chiolerio ◽  
Valentina Margaria
2015 ◽  
Vol 127 (24) ◽  
pp. 7220-7225 ◽  
Author(s):  
Blake Farrow ◽  
Michelle Wong ◽  
Jacquie Malette ◽  
Bert Lai ◽  
Kaycie M. Deyle ◽  
...  

Author(s):  
Mark Lorch

This chapter examines proteins, the dominant proportion of cellular machinery, and the relationship between protein structure and function. The multitude of biological processes needed to keep cells functioning are managed in the organism or cell by a massive cohort of proteins, together known as the proteome. The twenty amino acids that make up the bulk of proteins produce the vast array of protein structures. However, amino acids alone do not provide quite enough chemical variety to complete all of the biochemical activity of a cell, so the chapter also explores post-translation modifications. It finishes by looking as some dynamic aspects of proteins, including enzyme kinetics and the protein folding problem.


2002 ◽  
Vol 2 ◽  
pp. 84-86
Author(s):  
Ivan Y. Torshin ◽  
Robert W. Harrison ◽  
Irene T. Weber ◽  
John M. Petock

2021 ◽  
Author(s):  
Milot Mirdita ◽  
Konstantin Schütze ◽  
Yoshitaka Moriwaki ◽  
Lim Heo ◽  
Sergey Ovchinnikov ◽  
...  

Abstract ColabFold offers accelerated protein structure and complex predictions by combining the fast homology search of MMseqs2 with AlphaFold2 or RoseTTAFold. ColabFold's 20-30x faster search and optimized model use allows predicting thousands of proteins per day on a server with one GPU. Coupled with Google Colaboratory, ColabFold becomes a free and accessible platform for protein folding. ColabFold is open-source software available at github.com/sokrypton/ColabFold. Its novel environmental databases are available at colabfold.mmseqs.com.


2020 ◽  
Vol 14 ◽  
pp. 174830262094141
Author(s):  
Fengjuan Wang ◽  
Cheng Xu ◽  
Shufeng Jiang ◽  
Fengxia Xu

While the single ant colony algorithm and the fish swarm algorithm have many advantages, they also have various shortcomings. After analyzing the advantages and disadvantages of the ant colony algorithm and the fish swarm algorithm, this paper uses the complementary principle of the two algorithms to effectively fuse the two population intelligent algorithms. The improved swarm intelligence algorithm is applied to the well-considered protein folding prediction problem, and the simplified protein structure Toy model is verified, and the ideal results are obtained. The improved algorithm enhances the search ability, and the computational efficiency is greatly improved, ensuring the accuracy of the operation.


2005 ◽  
Vol 187 (4) ◽  
pp. 1504-1510 ◽  
Author(s):  
Jacqueline Tan ◽  
Ying Lu ◽  
James C. A. Bardwell

ABSTRACT In prokaryotes, disulfides are generated by the DsbA-DsbB system. DsbB functions to generate disulfides by quinone reduction. These disulfides are passed to the DsbA protein and then to folding proteins. To investigate the DsbA-DsbB catalytic system, we performed an in vivo selection for chromosomal dsbA and dsbB mutants. We rediscovered many residues previously shown to be important for the activity of these proteins. In addition, we obtained one novel DsbA mutant (M153R) and four novel DsbB mutants (L43P, H91Y, R133C, and L146R). We also mutated residues that are highly conserved within the DsbB family in an effort to identify residues important for DsbB function. We found classes of mutants that specifically affect the apparent Km of DsbB for either DsbA or quinones, suggesting that quinone and DsbA may interact with different regions of the DsbB protein. Our results are consistent with the interpretation that the residues Q33 and Y46 of DsbB interact with DsbA, Q95 and R48 interact with quinones, and that residue M153 of DsbA interacts with DsbB. All of these interactions could be due to direct amino acid interactions or could be indirect through, for instance, their effect on protein structure. In addition, we find that the DsbB H91Y mutant severely affects the k cat of the reaction between DsbA and DsbB and that the DsbB L43P mutant is inactive, suggesting that both L43 and H91 are important for the activity of DsbB. These experiments help to better define the residues important for the function of these two protein-folding catalysts.


2015 ◽  
Vol 54 (24) ◽  
pp. 7114-7119 ◽  
Author(s):  
Blake Farrow ◽  
Michelle Wong ◽  
Jacquie Malette ◽  
Bert Lai ◽  
Kaycie M. Deyle ◽  
...  

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