Experiments face challenges in the analysis of intrinsically disordered proteins in solution due to fast conformational changes and enhanced aggregation propensity. Computational studies complement experiments, being widely used in the analyses of intrinsically disordered proteins, especially those positioned at the centers of neurodegenerative diseases. However, recent investigations - including our own - revealed that computer simulations face significant challenges and limitations themselves. In this review, we introduced and discussed some of the scientific challenges and limitations of computational studies conducted on intrinsically disordered proteins. We also outlined the importance of future developments in the areas of computational chemistry and computational physics that would be needed for generating more accurate data for intrinsically disordered proteins from computer simulations. Additional theoretical strategies that can be developed are discussed herein.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.2174/1567205017666201109094908 | DOI Listing |
ACS Phys Chem Au
January 2025
Department of Chemistry, West Virginia University, Morgantown, West Virginia 26506, United States.
In-droplet hydrogen/deuterium exchange (HDX)-mass spectrometry (MS) experiments have been conducted for peptides of highly varied conformational type. A new model is presented that combines the use of protection factors (PF) from molecular dynamics (MD) simulations with intrinsic HDX rates ( ) to obtain a structure-to-reactivity calibration curve. Using the model, the relationship of peptide structural flexibility and HDX reactivity for different peptides is elucidated.
View Article and Find Full Text PDFCell Rep Phys Sci
November 2024
Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA.
Graph neural networks (GNNs) have emerged as powerful tools for representation learning. Their efficacy depends on their having an optimal underlying graph. In many cases, the most relevant information comes from specific subgraphs.
View Article and Find Full Text PDFPRX Life
June 2024
Department of Chemistry, Iowa State University, Ames, Iowa 50011, USA.
Biomolecular condensates are dynamic intracellular entities defined by their sequence- and composition-encoded material properties. During aging, these properties can change dramatically, potentially leading to pathological solidlike states, the mechanisms of which remain poorly understood. Recent experiments reveal that the aging of condensates involves a complex interplay of solvent depletion, strengthening of sticker links, and the formation of rigid structural segments such as beta fibrils.
View Article and Find Full Text PDFBiochemistry (Mosc)
December 2024
Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, 630090, Russia.
Taking into account involvement of the RNA-binding proteins in regulation of activity of poly(ADP-ribose) polymerase 1 (PARP1), a key factor of DNA repair, the effect of the intrinsically disordered protein Sam68 (Src-associated substrate during mitosis of 68 kDa) on catalytic activity of this enzyme was studied. Plasmid containing coding sequence of the Sam68 protein was obtained. Using the obtained construct, conditions for the Sam68 expression in cells were optimized and procedure for protein purification was developed.
View Article and Find Full Text PDFJ Biol Chem
January 2025
Department of Biochemistry and Molecular Biotechnology, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA. Electronic address:
Transient protein-protein interactions play key roles in controlling dynamic cellular responses. Many examples involve globular protein domains that bind to peptide sequences known as Short Linear Motifs (SLiMs), which are enriched in intrinsically disordered regions of proteins. Here we describe a novel functional assay for measuring SLiM binding, called Systematic Intracellular Motif Binding Analysis (SIMBA).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!