Mutational studies of protein structures and their stabilities

1992 ◽  
Vol 25 (2) ◽  
pp. 205-250 ◽  
Author(s):  
David Shortle

The fundamental relationship between structure and function has served to guide investigations into the workings of living systems at all levels - from the whole organism to individual cells on down to individual molecules. When X-ray crystallography began to reveal the three-dimensional structures of proteins like myoglobin, lysozyme and RNase A, protein chemists were well prepared to draw inferences about functional mechanisms from the precise positioning of amino acid residues they could see. The close proximity between an amino acid side chain and a chemical group on a bound ligand strongly suggests a functional role for that side chain in binding affinity and specificity. Likewise, the nearly universal finding of large clusters of hydrophobic side chains buried in the core of proteins strongly supports a major functional role of hydrophobic interactions in protein folding and stability. Even though eminently plausible hypotheses like these, grounded in the most fundamental principles of chemistry and the logic of structure–function relationships, become widely accepted and make their way into textbooks, protein chemists have felt compelled to search for ways to test them and put them on a more quantitative basis.

2018 ◽  
Author(s):  
Jörn M. Schmiedel ◽  
Ben Lehner

SummaryDetermining the three dimensional structures of macromolecules is a major goal of biological research because of the close relationship between structure and function. Structure determination usually relies on physical techniques including x-ray crystallography, NMR spectroscopy and cryo-electron microscopy. Here we present a method that allows the high-resolution three-dimensional structure of a biological macromolecule to be determined only from measurements of the activity of mutant variants of the molecule. This genetic approach to structure determination relies on the quantification of genetic interactions (epistasis) between mutations and the discrimination of direct from indirect interactions. This provides a new experimental strategy for structure determination, with the potential to reveal functional and in vivo structural conformations at low cost and high throughput.


Entropy ◽  
2020 ◽  
Vol 22 (4) ◽  
pp. 472 ◽  
Author(s):  
Fernando Fontove ◽  
Gabriel Del Rio

Proteins are characterized by their structures and functions, and these two fundamental aspects of proteins are assumed to be related. To model such a relationship, a single representation to model both protein structure and function would be convenient, yet so far, the most effective models for protein structure or function classification do not rely on the same protein representation. Here we provide a computationally efficient implementation for large datasets to calculate residue cluster classes (RCCs) from protein three-dimensional structures and show that such representations enable a random forest algorithm to effectively learn the structural and functional classifications of proteins, according to the CATH and Gene Ontology criteria, respectively. RCCs are derived from residue contact maps built from different distance criteria, and we show that 7 or 8 Å with or without amino acid side-chain atoms rendered the best classification models. The potential use of a unified representation of proteins is discussed and possible future areas for improvement and exploration are presented.


2020 ◽  
Vol 22 (5) ◽  
pp. 3008-3016 ◽  
Author(s):  
Sandra Mónica Vieira Pinto ◽  
Nicola Tasinato ◽  
Vincenzo Barone ◽  
Andrea Amadei ◽  
Laura Zanetti-Polzi ◽  
...  

Infrared (IR) spectroscopy is commonly utilized for the investigation of protein structures and protein-mediated processes.


2015 ◽  
Vol 112 (24) ◽  
pp. 7489-7494 ◽  
Author(s):  
Charles W. Carter ◽  
Richard Wolfenden

Aminoacyl-tRNA synthetases recognize tRNA anticodon and 3′ acceptor stem bases. Synthetase Urzymes acylate cognate tRNAs even without anticodon-binding domains, in keeping with the possibility that acceptor stem recognition preceded anticodon recognition. Representing tRNA identity elements with two bits per base, we show that the anticodon encodes the hydrophobicity of each amino acid side-chain as represented by its water-to-cyclohexane distribution coefficient, and this relationship holds true over the entire temperature range of liquid water. The acceptor stem codes preferentially for the surface area or size of each side-chain, as represented by its vapor-to-cyclohexane distribution coefficient. These orthogonal experimental properties are both necessary to account satisfactorily for the exposed surface area of amino acids in folded proteins. Moreover, the acceptor stem codes correctly for β-branched and carboxylic acid side-chains, whereas the anticodon codes for a wider range of such properties, but not for size or β-branching. These and other results suggest that genetic coding of 3D protein structures evolved in distinct stages, based initially on the size of the amino acid and later on its compatibility with globular folding in water.


Biopolymers ◽  
1992 ◽  
Vol 32 (12) ◽  
pp. 1623-1629 ◽  
Author(s):  
Paul E. Smith ◽  
B. Montgomery Pettitt

Amino Acids ◽  
2015 ◽  
Vol 47 (5) ◽  
pp. 885-898 ◽  
Author(s):  
Hsiou-Ting Kuo ◽  
Shing-Lung Liu ◽  
Wen-Chieh Chiu ◽  
Chun-Jen Fang ◽  
Hsien-Chen Chang ◽  
...  

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