Photochemically generated hydroxyl radicals were used to map solvent-exposed regions in the C14S mutant of the protein Sml1p, a regulator of the ribonuclease reductase enzyme Rnr1p in Saccharomyces cerevisiae. By using high-performance mass spectrometry to characterize the oxidized peptides created by the hydroxyl radical reactions, amino acid solvent-accessibility data for native and denatured C14S Sml1p that revealed a solvent-excluding tertiary structure in the native state were obtained. The data on solvent accessibilities of various amino acids within the protein were then utilized to evaluate the de novo computational models generated by the HMMSTR/Rosetta server. The top five models initially generated by the server all disagreed with both published nuclear magnetic resonance (NMR) data and the solvent-accessibility data obtained in this study. A structural model adjusted to fit the previously reported NMR data satisfied most of the solvent-accessibility constraints. Through minor adjustment of the rotamers of two amino acid side chains for this latter structure, a model that not only provided a lower energy conformation but also completely satisfied previously reported data from NMR and tryptophan fluorescence measurements, in addition to the solvent-accessibility data presented here, was generated.
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http://dx.doi.org/10.1016/j.ab.2005.02.005 | DOI Listing |
Mol Biol Evol
January 2025
Computational Biology and Bioinformatics, Université Libre de Bruxelles, Brussels 1050, Belgium.
Determining the impact of mutations on the thermodynamic stability of proteins is essential for a wide range of applications such as rational protein design and genetic variant interpretation. Since protein stability is a major driver of evolution, evolutionary data are often used to guide stability predictions. Many state-of-the-art stability predictors extract evolutionary information from multiple sequence alignments of proteins homologous to a query protein, and leverage it to predict the effects of mutations on protein stability.
View Article and Find Full Text PDFACS Chem Neurosci
January 2025
National Measurement Laboratory, LGC, Queens Road, TW11 0LY Teddington, U.K.
Neurofilament light chain (NfL) is an early nonspecific biomarker in neurodegenerative diseases and traumatic brain injury, indicating axonal damage. This work describes the detailed structural characterization of a selected primary calibrator with the potential to be used in future reference measurement procedure (RMP) development for the accurate quantification of NfL. As a part of the described workflow, the sequence, higher-order structure as well as solvent accessibility, and hydrogen-bonding profile were assessed under three different conditions in KPBS, artificial cerebrospinal fluid, and artificial cerebrospinal fluid in the presence of human serum albumin.
View Article and Find Full Text PDFJ Biomol Struct Dyn
December 2024
Department of Biochemistry & Molecular Biology, Cumming School of Medicine, University of Calgary, Calgary, Canada.
The inflammasome-forming NOD-like receptor containing pyrin-3 (NLRP3) protein is a critical player in the innate immune responses to cellular danger signals. New structural data of NLRP3 provide a framework to probe the conformational impact of nucleotide binding. In this study, microsecond molecular dynamics (MD) simulations were used to detail information on the unique structural conformations adopted by NLRP3 with ATP or ADP binding.
View Article and Find Full Text PDFMethods
November 2024
Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, MO, USA. Electronic address:
Methods Mol Biol
November 2024
Department of Computer Science, Virginia Commonwealth University, Richmond, VA, USA.
DescribePROT is a freely available online database of structural and functional descriptors of proteins at the amino acid level. It provides access to 13 diverse descriptors that include sequence conservation, putative secondary structure, solvent accessibility, intrinsic disorder, and signal peptides, and putative annotations of residues that interact with proteins, peptides and nucleic acids. These data can be used to elucidate protein functions, to support efforts to develop therapeutics, and to develop and evaluate future predictors of protein structure and function.
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